[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary":3,"summaries-facets-categories":96,"summary-related-6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary":6730},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":75,"path":76,"published_at":77,"question":48,"scraped_at":78,"seo":79,"sitemap":80,"source_id":81,"source_name":82,"source_type":83,"source_url":84,"stem":85,"tags":86,"thumbnail_url":91,"tldr":92,"tweet":93,"unknown_tags":94,"__hash__":95},"summaries\u002Fsummaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary.md","Automating Community Outreach with AI Agents",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8046,748,3583,0.0031335,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"from-manual-outreach-to-deterministic-workflows","From Manual Outreach to Deterministic Workflows",[22,23,24],"p",{},"Niels Rogge’s role at Hugging Face involves identifying research papers with weights hosted on third-party sites (Google Drive, Zenodo) and encouraging authors to publish them on the Hugging Face Hub. Initially, he performed this outreach manually. To scale, he first built a deterministic workflow using Python scripts and LLM APIs, triggered by nightly GitHub Actions cron jobs. This approach prioritized predictability and control, avoiding complex agent frameworks in favor of a simple, step-by-step pipeline that replicated his manual process: finding GitHub URLs, reading READMEs, checking for existing artifacts, and opening issues or pull requests.",[17,26,28],{"id":27},"transitioning-to-autonomous-agent-loops","Transitioning to Autonomous Agent Loops",[22,30,31],{},"As the volume of papers increased, Rogge evolved his approach to a fully autonomous agent loop. Unlike the deterministic workflow, this system uses the Claude Agents SDK, a sandbox environment, and the Hugging Face CLI as its primary tool. The agent is deployed using Modal, which allows for massive parallelization by spinning up individual containers for each GitHub issue. This architecture allows the agent to handle follow-ups, documentation, and metadata tagging autonomously. Rogge notes that while he does not disclose the use of an agent to researchers, the outreach remains effective because the agent mimics his original, helpful tone, resulting in only two negative interactions out of thousands of issues.",[17,33,35],{"id":34},"evaluation-and-best-practices","Evaluation and Best Practices",[22,37,38],{},"Rogge emphasizes that the choice between a deterministic workflow and an autonomous agent is not binary; they exist on a spectrum. His current setup leverages open models like Qwen 2.5, which he finds competitive with closed-source alternatives. He stresses the importance of observability and evaluation, recommending tools like Langfuse for tracing prompts, cost, and latency. To avoid generating \"slop,\" he points to Hamel Husain’s work on LLM evaluation as the gold standard for ensuring agent quality. His success demonstrates that modern agents can replace thousands of lines of custom code with simple, skill-based architectures.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI Automation",null,"md",false,{"content_references":52,"triage":70},[53,59,63,67],{"type":54,"title":55,"author":56,"url":57,"context":58},"other","Building Effective Agents","Anthropic","https:\u002F\u002Fwww.anthropic.com\u002Fresearch\u002Fbuilding-effective-agents","recommended",{"type":54,"title":60,"author":61,"url":62,"context":58},"LLM Evals FAQ","Hamel Husain","https:\u002F\u002Fhamel.dev\u002Fblog\u002Fposts\u002Fevals\u002F",{"type":64,"title":65,"url":66,"context":58},"tool","Langfuse","https:\u002F\u002Flangfuse.com\u002F",{"type":64,"title":68,"url":69,"context":58},"Modal","https:\u002F\u002Fmodal.com\u002F",{"relevance":71,"novelty":72,"quality":72,"actionability":72,"composite":73,"reasoning":74},5,4,4.35,"Category: AI Automation. The article provides a detailed account of automating community outreach using AI agents, which is highly relevant for product builders looking to implement AI in their workflows. It offers practical insights into transitioning from manual processes to automated systems, including specific tools and frameworks used, making it actionable for the audience.",true,"\u002Fsummaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary","2026-08-20 15:30:35","2026-08-21 03:12:28",{"title":5,"description":40},{"loc":76},"6a9e97f4c61c7030","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=FLUoowDJg4I","summaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary",[87,88,89,90],"agents","automation","llm","python","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FFLUoowDJg4I\u002Fhqdefault.jpg","Niels Rogge explains how he scaled his role at Hugging Face by replacing manual outreach with deterministic workflows and autonomous agents, successfully migrating research artifacts to the Hub at scale.","Niels Rogge explains how he scaled his outreach work at Hugging Face by moving from a deterministic, cron-job-based workflow to an autonomous agent loop. He demonstrates how he uses [Langfuse](https:\u002F\u002Flangfuse.com) for observability and the [Claude SDK](https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fanthropic-sdk-typescript) to manage GitHub interactions, emphasizing that the choice between a rigid workflow and an agentic loop depends on the predictability required for the task.",[],"WETB3PWRpZpR8TyGkzm17ESjgNdpqM1iulYbCd7vpe0",[97,100,103,105,108,110,112,115,117,119,121,124,126,128,130,132,135,137,139,141,143,146,149,151,153,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,194,196,198,200,202,204,206,208,210,212,214,216,218,220,223,225,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,260,262,264,266,268,270,272,274,276,278,280,282,284,286,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,352,354,356,358,360,362,364,366,368,370,372,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,408,410,412,414,416,418,420,422,424,426,428,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,488,490,492,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,526,528,530,532,534,536,538,540,542,544,546,548,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,834,836,838,840,842,845,847,849,851,853,855,857,859,861,863,865,867,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728],{"categories":98},[99],"AI & LLMs",{"categories":101},[102],"Developer Productivity",{"categories":104},[99],{"categories":106},[107],"Business & SaaS",{"categories":109},[99],{"categories":111},[47],{"categories":113},[114],"Product Strategy",{"categories":116},[99],{"categories":118},[102],{"categories":120},[47],{"categories":122},[123],"Software Engineering",{"categories":125},[99],{"categories":127},[107],{"categories":129},[],{"categories":131},[99],{"categories":133},[134],"Inference & Serving",{"categories":136},[99],{"categories":138},[99],{"categories":140},[47],{"categories":142},[],{"categories":144},[145],"AI News & Trends",{"categories":147},[148],"Data Science & Visualization",{"categories":150},[47],{"categories":152},[99],{"categories":154},[99],{"categories":156},[107],{"categories":158},[102],{"categories":160},[99],{"categories":162},[47],{"categories":164},[145],{"categories":166},[99],{"categories":168},[47],{"categories":170},[47],{"categories":172},[99],{"categories":174},[47],{"categories":176},[99],{"categories":178},[99],{"categories":180},[99],{"categories":182},[145],{"categories":184},[99],{"categories":186},[99],{"categories":188},[99],{"categories":190},[],{"categories":192},[193],"Design & Frontend",{"categories":195},[148],{"categories":197},[145],{"categories":199},[99],{"categories":201},[99],{"categories":203},[99],{"categories":205},[],{"categories":207},[99],{"categories":209},[99],{"categories":211},[47],{"categories":213},[123],{"categories":215},[99],{"categories":217},[47],{"categories":219},[99],{"categories":221},[222],"Marketing & Growth",{"categories":224},[193],{"categories":226},[99],{"categories":228},[47],{"categories":230},[99],{"categories":232},[123],{"categories":234},[],{"categories":236},[],{"categories":238},[193],{"categories":240},[99],{"categories":242},[47],{"categories":244},[102],{"categories":246},[123],{"categories":248},[47],{"categories":250},[193],{"categories":252},[114],{"categories":254},[99],{"categories":256},[123],{"categories":258},[259],"DevOps & Cloud",{"categories":261},[47],{"categories":263},[114],{"categories":265},[145],{"categories":267},[99],{"categories":269},[],{"categories":271},[99],{"categories":273},[99],{"categories":275},[],{"categories":277},[47],{"categories":279},[123],{"categories":281},[],{"categories":283},[123],{"categories":285},[99],{"categories":287},[288],"Governance & Standards",{"categories":290},[107],{"categories":292},[],{"categories":294},[],{"categories":296},[99],{"categories":298},[99],{"categories":300},[47],{"categories":302},[99],{"categories":304},[99],{"categories":306},[47],{"categories":308},[99],{"categories":310},[99],{"categories":312},[99],{"categories":314},[],{"categories":316},[123],{"categories":318},[],{"categories":320},[],{"categories":322},[99],{"categories":324},[123],{"categories":326},[],{"categories":328},[123],{"categories":330},[99],{"categories":332},[99],{"categories":334},[222],{"categories":336},[99],{"categories":338},[99],{"categories":340},[193],{"categories":342},[193],{"categories":344},[99],{"categories":346},[123],{"categories":348},[47],{"categories":350},[351],"GovTech & Public-Sector Adoption",{"categories":353},[123],{"categories":355},[99],{"categories":357},[99],{"categories":359},[99],{"categories":361},[47],{"categories":363},[47],{"categories":365},[148],{"categories":367},[99],{"categories":369},[145],{"categories":371},[47],{"categories":373},[374],"Legal AI Tools",{"categories":376},[99],{"categories":378},[47],{"categories":380},[99],{"categories":382},[222],{"categories":384},[47],{"categories":386},[114],{"categories":388},[99],{"categories":390},[123],{"categories":392},[351],{"categories":394},[],{"categories":396},[47],{"categories":398},[],{"categories":400},[107],{"categories":402},[47],{"categories":404},[47],{"categories":406},[407],"RAG & Retrieval",{"categories":409},[107],{"categories":411},[99],{"categories":413},[123],{"categories":415},[123],{"categories":417},[259],{"categories":419},[193],{"categories":421},[47],{"categories":423},[99],{"categories":425},[99],{"categories":427},[],{"categories":429},[430],"Agents & Orchestration",{"categories":432},[123],{"categories":434},[99],{"categories":436},[],{"categories":438},[47],{"categories":440},[107],{"categories":442},[],{"categories":444},[99],{"categories":446},[],{"categories":448},[99],{"categories":450},[102],{"categories":452},[123],{"categories":454},[107],{"categories":456},[99],{"categories":458},[47],{"categories":460},[99],{"categories":462},[145],{"categories":464},[99],{"categories":466},[],{"categories":468},[99],{"categories":470},[],{"categories":472},[99],{"categories":474},[123],{"categories":476},[99],{"categories":478},[148],{"categories":480},[],{"categories":482},[99],{"categories":484},[193],{"categories":486},[487],"Models & Frontier Labs",{"categories":489},[],{"categories":491},[193],{"categories":493},[494],"Regulation & Governance of AI",{"categories":496},[47],{"categories":498},[],{"categories":500},[99],{"categories":502},[99],{"categories":504},[47],{"categories":506},[145],{"categories":508},[99],{"categories":510},[107],{"categories":512},[99],{"categories":514},[],{"categories":516},[123],{"categories":518},[47],{"categories":520},[99],{"categories":522},[114],{"categories":524},[525],"AI Policy & Regulation",{"categories":527},[],{"categories":529},[99],{"categories":531},[47],{"categories":533},[114],{"categories":535},[47],{"categories":537},[99],{"categories":539},[99],{"categories":541},[99],{"categories":543},[47],{"categories":545},[],{"categories":547},[148],{"categories":549},[550],"Evals & Reliability",{"categories":552},[99],{"categories":554},[99],{"categories":556},[],{"categories":558},[102],{"categories":560},[351],{"categories":562},[525],{"categories":564},[99],{"categories":566},[107],{"categories":568},[99],{"categories":570},[47],{"categories":572},[99],{"categories":574},[47],{"categories":576},[430],{"categories":578},[99],{"categories":580},[123],{"categories":582},[99],{"categories":584},[],{"categories":586},[193],{"categories":588},[],{"categories":590},[99],{"categories":592},[351],{"categories":594},[99],{"categories":596},[99],{"categories":598},[99],{"categories":600},[],{"categories":602},[99],{"categories":604},[193],{"categories":606},[],{"categories":608},[99],{"categories":610},[],{"categories":612},[47],{"categories":614},[99],{"categories":616},[193],{"categories":618},[],{"categories":620},[99],{"categories":622},[99],{"categories":624},[148],{"categories":626},[47],{"categories":628},[99],{"categories":630},[107],{"categories":632},[47],{"categories":634},[99],{"categories":636},[99],{"categories":638},[123],{"categories":640},[193],{"categories":642},[99],{"categories":644},[47],{"categories":646},[],{"categories":648},[123],{"categories":650},[47],{"categories":652},[148],{"categories":654},[],{"categories":656},[99],{"categories":658},[145],{"categories":660},[99],{"categories":662},[],{"categories":664},[99],{"categories":666},[99],{"categories":668},[99],{"categories":670},[107,222],{"categories":672},[],{"categories":674},[123],{"categories":676},[99],{"categories":678},[99],{"categories":680},[47],{"categories":682},[99],{"categories":684},[],{"categories":686},[],{"categories":688},[99],{"categories":690},[193],{"categories":692},[99],{"categories":694},[],{"categories":696},[99],{"categories":698},[259],{"categories":700},[],{"categories":702},[47],{"categories":704},[145],{"categories":706},[99],{"categories":708},[99],{"categories":710},[193],{"categories":712},[],{"categories":714},[145],{"categories":716},[99],{"categories":718},[134],{"categories":720},[99],{"categories":722},[99],{"categories":724},[47],{"categories":726},[145],{"categories":728},[487],{"categories":730},[99],{"categories":732},[222],{"categories":734},[],{"categories":736},[47],{"categories":738},[107],{"categories":740},[123],{"categories":742},[99],{"categories":744},[47],{"categories":746},[],{"categories":748},[99,259],{"categories":750},[99],{"categories":752},[99],{"categories":754},[99],{"categories":756},[47],{"categories":758},[99,123],{"categories":760},[148],{"categories":762},[99],{"categories":764},[99],{"categories":766},[123],{"categories":768},[99],{"categories":770},[47],{"categories":772},[47],{"categories":774},[525],{"categories":776},[222],{"categories":778},[99],{"categories":780},[47],{"categories":782},[99],{"categories":784},[99],{"categories":786},[47],{"categories":788},[],{"categories":790},[47],{"categories":792},[99],{"categories":794},[99],{"categories":796},[47],{"categories":798},[99],{"categories":800},[99,107],{"categories":802},[99],{"categories":804},[107],{"categories":806},[],{"categories":808},[193],{"categories":810},[193],{"categories":812},[99],{"categories":814},[],{"categories":816},[],{"categories":818},[99],{"categories":820},[145],{"categories":822},[],{"categories":824},[102],{"categories":826},[99],{"categories":828},[123],{"categories":830},[99],{"categories":832},[833],"Generative UI & Design-to-Code",{"categories":835},[99],{"categories":837},[99],{"categories":839},[193],{"categories":841},[99],{"categories":843},[844],"Algorithmic Accountability",{"categories":846},[47],{"categories":848},[123],{"categories":850},[145],{"categories":852},[193],{"categories":854},[99],{"categories":856},[],{"categories":858},[114],{"categories":860},[99],{"categories":862},[99],{"categories":864},[99],{"categories":866},[47],{"categories":868},[869],"MLOps & Infrastructure",{"categories":871},[99],{"categories":873},[99],{"categories":875},[99],{"categories":877},[99],{"categories":879},[99],{"categories":881},[123],{"categories":883},[145],{"categories":885},[114],{"categories":887},[102],{"categories":889},[99],{"categories":891},[47],{"categories":893},[259],{"categories":895},[99],{"categories":897},[107],{"categories":899},[99],{"categories":901},[193],{"categories":903},[99],{"categories":905},[99],{"categories":907},[47],{"categories":909},[],{"categories":911},[],{"categories":913},[99],{"categories":915},[134],{"categories":917},[193],{"categories":919},[145],{"categories":921},[148],{"categories":923},[],{"categories":925},[99],{"categories":927},[99],{"categories":929},[107],{"categories":931},[47],{"categories":933},[99],{"categories":935},[99],{"categories":937},[99],{"categories":939},[99],{"categories":941},[145],{"categories":943},[134],{"categories":945},[99],{"categories":947},[193],{"categories":949},[99],{"categories":951},[],{"categories":953},[47],{"categories":955},[123],{"categories":957},[],{"categories":959},[99],{"categories":961},[99],{"categories":963},[47],{"categories":965},[123],{"categories":967},[99],{"categories":969},[148],{"categories":971},[],{"categories":973},[99],{"categories":975},[],{"categories":977},[99],{"categories":979},[],{"categories":981},[99],{"categories":983},[99],{"categories":985},[114],{"categories":987},[107],{"categories":989},[47],{"categories":991},[47],{"categories":993},[],{"categories":995},[99],{"categories":997},[102],{"categories":999},[99],{"categories":1001},[99],{"categories":1003},[107],{"categories":1005},[145],{"categories":1007},[102],{"categories":1009},[],{"categories":1011},[99],{"categories":1013},[],{"categories":1015},[],{"categories":1017},[145],{"categories":1019},[145],{"categories":1021},[],{"categories":1023},[430],{"categories":1025},[99],{"categories":1027},[193],{"categories":1029},[123],{"categories":1031},[],{"categories":1033},[374],{"categories":1035},[47],{"categories":1037},[107],{"categories":1039},[],{"categories":1041},[],{"categories":1043},[102],{"categories":1045},[148],{"categories":1047},[],{"categories":1049},[222],{"categories":1051},[47],{"categories":1053},[107],{"categories":1055},[47],{"categories":1057},[107],{"categories":1059},[99],{"categories":1061},[123],{"categories":1063},[],{"categories":1065},[134],{"categories":1067},[114],{"categories":1069},[99],{"categories":1071},[193],{"categories":1073},[123],{"categories":1075},[107],{"categories":1077},[99],{"categories":1079},[99],{"categories":1081},[47],{"categories":1083},[107],{"categories":1085},[99],{"categories":1087},[99],{"categories":1089},[99],{"categories":1091},[99],{"categories":1093},[99],{"categories":1095},[],{"categories":1097},[],{"categories":1099},[123],{"categories":1101},[148],{"categories":1103},[114],{"categories":1105},[99],{"categories":1107},[47],{"categories":1109},[123],{"categories":1111},[123],{"categories":1113},[99],{"categories":1115},[],{"categories":1117},[145],{"categories":1119},[114],{"categories":1121},[123],{"categories":1123},[99],{"categories":1125},[550],{"categories":1127},[259],{"categories":1129},[],{"categories":1131},[47],{"categories":1133},[99],{"categories":1135},[],{"categories":1137},[102],{"categories":1139},[],{"categories":1141},[99],{"categories":1143},[99],{"categories":1145},[99],{"categories":1147},[193],{"categories":1149},[222],{"categories":1151},[99],{"categories":1153},[123],{"categories":1155},[99],{"categories":1157},[47],{"categories":1159},[],{"categories":1161},[123],{"categories":1163},[99],{"categories":1165},[102],{"categories":1167},[],{"categories":1169},[107],{"categories":1171},[99],{"categories":1173},[145],{"categories":1175},[99,259],{"categories":1177},[99],{"categories":1179},[1180],"Design Systems for AI",{"categories":1182},[99],{"categories":1184},[99],{"categories":1186},[145],{"categories":1188},[99],{"categories":1190},[99],{"categories":1192},[99],{"categories":1194},[107],{"categories":1196},[99],{"categories":1198},[99],{"categories":1200},[99],{"categories":1202},[],{"categories":1204},[99],{"categories":1206},[99],{"categories":1208},[107],{"categories":1210},[99],{"categories":1212},[],{"categories":1214},[47],{"categories":1216},[123],{"categories":1218},[145],{"categories":1220},[123],{"categories":1222},[99],{"categories":1224},[193],{"categories":1226},[145],{"categories":1228},[148],{"categories":1230},[99],{"categories":1232},[99],{"categories":1234},[47],{"categories":1236},[102],{"categories":1238},[525],{"categories":1240},[99],{"categories":1242},[47],{"categories":1244},[99],{"categories":1246},[123],{"categories":1248},[123],{"categories":1250},[],{"categories":1252},[],{"categories":1254},[99],{"categories":1256},[47],{"categories":1258},[114],{"categories":1260},[],{"categories":1262},[107],{"categories":1264},[99],{"categories":1266},[],{"categories":1268},[193],{"categories":1270},[47],{"categories":1272},[123],{"categories":1274},[193],{"categories":1276},[99],{"categories":1278},[99],{"categories":1280},[193],{"categories":1282},[],{"categories":1284},[],{"categories":1286},[145],{"categories":1288},[47],{"categories":1290},[47],{"categories":1292},[99],{"categories":1294},[99],{"categories":1296},[99],{"categories":1298},[99],{"categories":1300},[107],{"categories":1302},[99],{"categories":1304},[99],{"categories":1306},[],{"categories":1308},[123],{"categories":1310},[123],{"categories":1312},[99],{"categories":1314},[123],{"categories":1316},[107],{"categories":1318},[],{"categories":1320},[99],{"categories":1322},[99],{"categories":1324},[99],{"categories":1326},[99],{"categories":1328},[99],{"categories":1330},[47],{"categories":1332},[102],{"categories":1334},[107],{"categories":1336},[99],{"categories":1338},[47],{"categories":1340},[145],{"categories":1342},[47],{"categories":1344},[134],{"categories":1346},[222],{"categories":1348},[99],{"categories":1350},[47],{"categories":1352},[99],{"categories":1354},[99],{"categories":1356},[99],{"categories":1358},[],{"categories":1360},[193],{"categories":1362},[],{"categories":1364},[99],{"categories":1366},[99],{"categories":1368},[],{"categories":1370},[123],{"categories":1372},[107],{"categories":1374},[1375],"Visual & Generative Media",{"categories":1377},[47],{"categories":1379},[],{"categories":1381},[99],{"categories":1383},[99],{"categories":1385},[123],{"categories":1387},[259],{"categories":1389},[99],{"categories":1391},[148],{"categories":1393},[525],{"categories":1395},[123],{"categories":1397},[222],{"categories":1399},[99],{"categories":1401},[193],{"categories":1403},[99],{"categories":1405},[99],{"categories":1407},[123],{"categories":1409},[47],{"categories":1411},[99],{"categories":1413},[],{"categories":1415},[],{"categories":1417},[47],{"categories":1419},[123],{"categories":1421},[102],{"categories":1423},[47],{"categories":1425},[487],{"categories":1427},[99],{"categories":1429},[114],{"categories":1431},[99],{"categories":1433},[107],{"categories":1435},[],{"categories":1437},[99],{"categories":1439},[114],{"categories":1441},[99],{"categories":1443},[99],{"categories":1445},[99],{"categories":1447},[114],{"categories":1449},[99],{"categories":1451},[99],{"categories":1453},[222],{"categories":1455},[99],{"categories":1457},[430],{"categories":1459},[99],{"categories":1461},[47],{"categories":1463},[99],{"categories":1465},[99],{"categories":1467},[99],{"categories":1469},[99],{"categories":1471},[193],{"categories":1473},[47],{"categories":1475},[],{"categories":1477},[47],{"categories":1479},[],{"categories":1481},[259],{"categories":1483},[123],{"categories":1485},[],{"categories":1487},[487],{"categories":1489},[99],{"categories":1491},[47],{"categories":1493},[99],{"categories":1495},[193,99],{"categories":1497},[102],{"categories":1499},[99],{"categories":1501},[193],{"categories":1503},[],{"categories":1505},[99],{"categories":1507},[102],{"categories":1509},[1510],"Medical Imaging & Radiology",{"categories":1512},[99],{"categories":1514},[193],{"categories":1516},[47],{"categories":1518},[123],{"categories":1520},[],{"categories":1522},[99],{"categories":1524},[99],{"categories":1526},[99],{"categories":1528},[],{"categories":1530},[],{"categories":1532},[99],{"categories":1534},[430],{"categories":1536},[99],{"categories":1538},[102],{"categories":1540},[99],{"categories":1542},[99],{"categories":1544},[],{"categories":1546},[47],{"categories":1548},[99],{"categories":1550},[114],{"categories":1552},[123],{"categories":1554},[99],{"categories":1556},[430],{"categories":1558},[99],{"categories":1560},[47],{"categories":1562},[99],{"categories":1564},[99],{"categories":1566},[99],{"categories":1568},[193],{"categories":1570},[47],{"categories":1572},[259],{"categories":1574},[193],{"categories":1576},[107],{"categories":1578},[47],{"categories":1580},[145],{"categories":1582},[99],{"categories":1584},[99],{"categories":1586},[114],{"categories":1588},[99],{"categories":1590},[99],{"categories":1592},[99],{"categories":1594},[47],{"categories":1596},[99],{"categories":1598},[123],{"categories":1600},[123],{"categories":1602},[99],{"categories":1604},[114],{"categories":1606},[],{"categories":1608},[145],{"categories":1610},[],{"categories":1612},[114],{"categories":1614},[47],{"categories":1616},[99],{"categories":1618},[47],{"categories":1620},[1180],{"categories":1622},[1180],{"categories":1624},[193],{"categories":1626},[99],{"categories":1628},[99],{"categories":1630},[47],{"categories":1632},[123],{"categories":1634},[193],{"categories":1636},[47],{"categories":1638},[145],{"categories":1640},[],{"categories":1642},[99],{"categories":1644},[],{"categories":1646},[99],{"categories":1648},[99],{"categories":1650},[99],{"categories":1652},[99],{"categories":1654},[47],{"categories":1656},[1657],"Contract Review & E-Discovery",{"categories":1659},[99],{"categories":1661},[193],{"categories":1663},[99],{"categories":1665},[102],{"categories":1667},[99],{"categories":1669},[145],{"categories":1671},[99],{"categories":1673},[99],{"categories":1675},[222],{"categories":1677},[123],{"categories":1679},[99],{"categories":1681},[99],{"categories":1683},[47],{"categories":1685},[47],{"categories":1687},[844],{"categories":1689},[99],{"categories":1691},[99],{"categories":1693},[47],{"categories":1695},[47],{"categories":1697},[99],{"categories":1699},[99],{"categories":1701},[47],{"categories":1703},[99],{"categories":1705},[99],{"categories":1707},[430],{"categories":1709},[407],{"categories":1711},[99],{"categories":1713},[47],{"categories":1715},[99],{"categories":1717},[1718],"Law-Firm Practice & Adoption",{"categories":1720},[99],{"categories":1722},[47],{"categories":1724},[193],{"categories":1726},[99],{"categories":1728},[99],{"categories":1730},[99],{"categories":1732},[],{"categories":1734},[],{"categories":1736},[123],{"categories":1738},[99],{"categories":1740},[],{"categories":1742},[47],{"categories":1744},[102],{"categories":1746},[259],{"categories":1748},[99],{"categories":1750},[],{"categories":1752},[102],{"categories":1754},[107],{"categories":1756},[99],{"categories":1758},[222],{"categories":1760},[],{"categories":1762},[107],{"categories":1764},[107],{"categories":1766},[],{"categories":1768},[99],{"categories":1770},[114],{"categories":1772},[99],{"categories":1774},[123],{"categories":1776},[],{"categories":1778},[],{"categories":1780},[],{"categories":1782},[],{"categories":1784},[99],{"categories":1786},[114],{"categories":1788},[47],{"categories":1790},[259],{"categories":1792},[99],{"categories":1794},[102],{"categories":1796},[123],{"categories":1798},[99],{"categories":1800},[99],{"categories":1802},[123],{"categories":1804},[114],{"categories":1806},[99],{"categories":1808},[99],{"categories":1810},[99],{"categories":1812},[869],{"categories":1814},[99],{"categories":1816},[99],{"categories":1818},[222],{"categories":1820},[123],{"categories":1822},[107],{"categories":1824},[99],{"categories":1826},[99],{"categories":1828},[99],{"categories":1830},[193],{"categories":1832},[99],{"categories":1834},[99],{"categories":1836},[99],{"categories":1838},[99],{"categories":1840},[107],{"categories":1842},[47],{"categories":1844},[99,102],{"categories":1846},[430],{"categories":1848},[99],{"categories":1850},[99],{"categories":1852},[123],{"categories":1854},[123],{"categories":1856},[193],{"categories":1858},[47],{"categories":1860},[123],{"categories":1862},[99],{"categories":1864},[99],{"categories":1866},[],{"categories":1868},[],{"categories":1870},[99],{"categories":1872},[99],{"categories":1874},[47],{"categories":1876},[],{"categories":1878},[99],{"categories":1880},[123],{"categories":1882},[148],{"categories":1884},[145],{"categories":1886},[193],{"categories":1888},[99],{"categories":1890},[99],{"categories":1892},[123],{"categories":1894},[],{"categories":1896},[47],{"categories":1898},[99],{"categories":1900},[99],{"categories":1902},[99],{"categories":1904},[99],{"categories":1906},[],{"categories":1908},[47],{"categories":1910},[99],{"categories":1912},[99],{"categories":1914},[],{"categories":1916},[47],{"categories":1918},[99],{"categories":1920},[99],{"categories":1922},[107],{"categories":1924},[99],{"categories":1926},[99],{"categories":1928},[],{"categories":1930},[102],{"categories":1932},[99],{"categories":1934},[99],{"categories":1936},[99],{"categories":1938},[193],{"categories":1940},[99],{"categories":1942},[123],{"categories":1944},[99],{"categories":1946},[102],{"categories":1948},[99],{"categories":1950},[123],{"categories":1952},[222],{"categories":1954},[47],{"categories":1956},[47],{"categories":1958},[99],{"categories":1960},[99],{"categories":1962},[99,193],{"categories":1964},[99],{"categories":1966},[47],{"categories":1968},[145],{"categories":1970},[99],{"categories":1972},[145],{"categories":1974},[47],{"categories":1976},[193],{"categories":1978},[99],{"categories":1980},[],{"categories":1982},[123],{"categories":1984},[259],{"categories":1986},[193],{"categories":1988},[123],{"categories":1990},[99],{"categories":1992},[114],{"categories":1994},[99],{"categories":1996},[99],{"categories":1998},[47],{"categories":2000},[],{"categories":2002},[],{"categories":2004},[99],{"categories":2006},[],{"categories":2008},[],{"categories":2010},[114],{"categories":2012},[123],{"categories":2014},[99],{"categories":2016},[47],{"categories":2018},[47],{"categories":2020},[107],{"categories":2022},[47],{"categories":2024},[259],{"categories":2026},[99],{"categories":2028},[99],{"categories":2030},[99],{"categories":2032},[134],{"categories":2034},[99],{"categories":2036},[99],{"categories":2038},[123],{"categories":2040},[47],{"categories":2042},[99],{"categories":2044},[99],{"categories":2046},[374],{"categories":2048},[844],{"categories":2050},[],{"categories":2052},[193],{"categories":2054},[1718],{"categories":2056},[123],{"categories":2058},[],{"categories":2060},[],{"categories":2062},[99],{"categories":2064},[47],{"categories":2066},[],{"categories":2068},[],{"categories":2070},[99],{"categories":2072},[222],{"categories":2074},[99],{"categories":2076},[222],{"categories":2078},[47],{"categories":2080},[99],{"categories":2082},[123],{"categories":2084},[114],{"categories":2086},[],{"categories":2088},[99],{"categories":2090},[99],{"categories":2092},[123],{"categories":2094},[1657],{"categories":2096},[193],{"categories":2098},[193],{"categories":2100},[99],{"categories":2102},[47],{"categories":2104},[102],{"categories":2106},[99],{"categories":2108},[99],{"categories":2110},[99],{"categories":2112},[193],{"categories":2114},[193],{"categories":2116},[47],{"categories":2118},[47],{"categories":2120},[47],{"categories":2122},[99],{"categories":2124},[99],{"categories":2126},[],{"categories":2128},[99],{"categories":2130},[],{"categories":2132},[2133],"Interaction & Product Design",{"categories":2135},[99],{"categories":2137},[47],{"categories":2139},[123],{"categories":2141},[288],{"categories":2143},[145],{"categories":2145},[123],{"categories":2147},[99],{"categories":2149},[99],{"categories":2151},[99],{"categories":2153},[123],{"categories":2155},[102],{"categories":2157},[47],{"categories":2159},[99],{"categories":2161},[],{"categories":2163},[47],{"categories":2165},[47],{"categories":2167},[],{"categories":2169},[123],{"categories":2171},[99],{"categories":2173},[102],{"categories":2175},[2133],{"categories":2177},[99],{"categories":2179},[102],{"categories":2181},[102],{"categories":2183},[],{"categories":2185},[47],{"categories":2187},[123],{"categories":2189},[],{"categories":2191},[47],{"categories":2193},[145],{"categories":2195},[99],{"categories":2197},[47],{"categories":2199},[99],{"categories":2201},[47],{"categories":2203},[99],{"categories":2205},[99],{"categories":2207},[145],{"categories":2209},[148],{"categories":2211},[99],{"categories":2213},[114],{"categories":2215},[123],{"categories":2217},[2218],"Coding Agents & Dev Productivity",{"categories":2220},[145],{"categories":2222},[193],{"categories":2224},[99],{"categories":2226},[99],{"categories":2228},[],{"categories":2230},[99],{"categories":2232},[844],{"categories":2234},[],{"categories":2236},[99],{"categories":2238},[259],{"categories":2240},[99],{"categories":2242},[145],{"categories":2244},[],{"categories":2246},[],{"categories":2248},[99],{"categories":2250},[],{"categories":2252},[47],{"categories":2254},[99],{"categories":2256},[],{"categories":2258},[123],{"categories":2260},[123],{"categories":2262},[99],{"categories":2264},[148],{"categories":2266},[],{"categories":2268},[99],{"categories":2270},[99],{"categories":2272},[99],{"categories":2274},[148],{"categories":2276},[123],{"categories":2278},[47],{"categories":2280},[],{"categories":2282},[],{"categories":2284},[99],{"categories":2286},[99],{"categories":2288},[47],{"categories":2290},[47],{"categories":2292},[351],{"categories":2294},[123],{"categories":2296},[123],{"categories":2298},[47],{"categories":2300},[145],{"categories":2302},[145],{"categories":2304},[47],{"categories":2306},[47],{"categories":2308},[99],{"categories":2310},[102],{"categories":2312},[2133],{"categories":2314},[114],{"categories":2316},[99,259],{"categories":2318},[148],{"categories":2320},[],{"categories":2322},[193],{"categories":2324},[47],{"categories":2326},[123],{"categories":2328},[102],{"categories":2330},[99],{"categories":2332},[47],{"categories":2334},[2335],"The Designer's Role & Craft",{"categories":2337},[193],{"categories":2339},[],{"categories":2341},[47],{"categories":2343},[99],{"categories":2345},[47],{"categories":2347},[47],{"categories":2349},[99],{"categories":2351},[222],{"categories":2353},[99],{"categories":2355},[123],{"categories":2357},[99],{"categories":2359},[193],{"categories":2361},[99],{"categories":2363},[],{"categories":2365},[47],{"categories":2367},[193],{"categories":2369},[99],{"categories":2371},[99],{"categories":2373},[99],{"categories":2375},[2376],"AI UX Patterns",{"categories":2378},[47],{"categories":2380},[47],{"categories":2382},[47],{"categories":2384},[47],{"categories":2386},[222],{"categories":2388},[148],{"categories":2390},[99],{"categories":2392},[47],{"categories":2394},[99],{"categories":2396},[1180],{"categories":2398},[],{"categories":2400},[222],{"categories":2402},[47],{"categories":2404},[145],{"categories":2406},[123],{"categories":2408},[99],{"categories":2410},[47],{"categories":2412},[],{"categories":2414},[],{"categories":2416},[99],{"categories":2418},[47],{"categories":2420},[99],{"categories":2422},[47],{"categories":2424},[351],{"categories":2426},[193],{"categories":2428},[99],{"categories":2430},[145],{"categories":2432},[123],{"categories":2434},[99],{"categories":2436},[47],{"categories":2438},[47],{"categories":2440},[],{"categories":2442},[99],{"categories":2444},[],{"categories":2446},[],{"categories":2448},[99],{"categories":2450},[99],{"categories":2452},[99],{"categories":2454},[47],{"categories":2456},[123],{"categories":2458},[],{"categories":2460},[],{"categories":2462},[148],{"categories":2464},[134],{"categories":2466},[99],{"categories":2468},[99],{"categories":2470},[148],{"categories":2472},[99],{"categories":2474},[99],{"categories":2476},[145],{"categories":2478},[99],{"categories":2480},[99],{"categories":2482},[99],{"categories":2484},[47],{"categories":2486},[99],{"categories":2488},[47],{"categories":2490},[99],{"categories":2492},[99],{"categories":2494},[47],{"categories":2496},[],{"categories":2498},[99],{"categories":2500},[],{"categories":2502},[99],{"categories":2504},[99],{"categories":2506},[259],{"categories":2508},[99],{"categories":2510},[],{"categories":2512},[],{"categories":2514},[193],{"categories":2516},[869],{"categories":2518},[47],{"categories":2520},[102],{"categories":2522},[2335],{"categories":2524},[],{"categories":2526},[],{"categories":2528},[99],{"categories":2530},[],{"categories":2532},[],{"categories":2534},[123],{"categories":2536},[145],{"categories":2538},[222],{"categories":2540},[47],{"categories":2542},[107],{"categories":2544},[99],{"categories":2546},[99],{"categories":2548},[107],{"categories":2550},[],{"categories":2552},[193],{"categories":2554},[114],{"categories":2556},[99],{"categories":2558},[99],{"categories":2560},[47],{"categories":2562},[107],{"categories":2564},[99],{"categories":2566},[99],{"categories":2568},[102],{"categories":2570},[99],{"categories":2572},[],{"categories":2574},[102],{"categories":2576},[99],{"categories":2578},[222],{"categories":2580},[47],{"categories":2582},[145],{"categories":2584},[99],{"categories":2586},[123],{"categories":2588},[99],{"categories":2590},[99],{"categories":2592},[107],{"categories":2594},[99],{"categories":2596},[99],{"categories":2598},[99],{"categories":2600},[47],{"categories":2602},[99],{"categories":2604},[],{"categories":2606},[99],{"categories":2608},[123],{"categories":2610},[102],{"categories":2612},[99],{"categories":2614},[99],{"categories":2616},[99],{"categories":2618},[],{"categories":2620},[99],{"categories":2622},[430],{"categories":2624},[47],{"categories":2626},[107],{"categories":2628},[145],{"categories":2630},[99],{"categories":2632},[99],{"categories":2634},[],{"categories":2636},[107],{"categories":2638},[107],{"categories":2640},[99],{"categories":2642},[99],{"categories":2644},[114],{"categories":2646},[99],{"categories":2648},[99],{"categories":2650},[99],{"categories":2652},[99],{"categories":2654},[123],{"categories":2656},[123],{"categories":2658},[99],{"categories":2660},[],{"categories":2662},[123],{"categories":2664},[99],{"categories":2666},[123],{"categories":2668},[47],{"categories":2670},[525],{"categories":2672},[],{"categories":2674},[],{"categories":2676},[99],{"categories":2678},[145],{"categories":2680},[],{"categories":2682},[259],{"categories":2684},[99],{"categories":2686},[99],{"categories":2688},[99],{"categories":2690},[193],{"categories":2692},[833],{"categories":2694},[],{"categories":2696},[99],{"categories":2698},[99],{"categories":2700},[99],{"categories":2702},[123],{"categories":2704},[99],{"categories":2706},[99],{"categories":2708},[99,259],{"categories":2710},[99],{"categories":2712},[99],{"categories":2714},[193],{"categories":2716},[47],{"categories":2718},[],{"categories":2720},[47],{"categories":2722},[47],{"categories":2724},[99],{"categories":2726},[99],{"categories":2728},[99],{"categories":2730},[99],{"categories":2732},[148],{"categories":2734},[99],{"categories":2736},[2376],{"categories":2738},[102],{"categories":2740},[148],{"categories":2742},[102],{"categories":2744},[123],{"categories":2746},[193],{"categories":2748},[47],{"categories":2750},[99],{"categories":2752},[],{"categories":2754},[107],{"categories":2756},[99],{"categories":2758},[99],{"categories":2760},[145],{"categories":2762},[99],{"categories":2764},[99],{"categories":2766},[47],{"categories":2768},[99],{"categories":2770},[99],{"categories":2772},[99],{"categories":2774},[107],{"categories":2776},[],{"categories":2778},[259],{"categories":2780},[99],{"categories":2782},[351],{"categories":2784},[193],{"categories":2786},[193],{"categories":2788},[123],{"categories":2790},[47],{"categories":2792},[99],{"categories":2794},[107],{"categories":2796},[145],{"categories":2798},[99],{"categories":2800},[99],{"categories":2802},[193],{"categories":2804},[47],{"categories":2806},[47],{"categories":2808},[99],{"categories":2810},[99],{"categories":2812},[487],{"categories":2814},[47],{"categories":2816},[],{"categories":2818},[99],{"categories":2820},[99],{"categories":2822},[99],{"categories":2824},[],{"categories":2826},[],{"categories":2828},[99],{"categories":2830},[99],{"categories":2832},[47],{"categories":2834},[99],{"categories":2836},[99],{"categories":2838},[99],{"categories":2840},[123],{"categories":2842},[99],{"categories":2844},[99],{"categories":2846},[47],{"categories":2848},[99],{"categories":2850},[99],{"categories":2852},[99],{"categories":2854},[99],{"categories":2856},[99],{"categories":2858},[],{"categories":2860},[123],{"categories":2862},[148],{"categories":2864},[99],{"categories":2866},[47],{"categories":2868},[99],{"categories":2870},[99],{"categories":2872},[],{"categories":2874},[],{"categories":2876},[99],{"categories":2878},[99],{"categories":2880},[99],{"categories":2882},[145],{"categories":2884},[148],{"categories":2886},[],{"categories":2888},[99],{"categories":2890},[193],{"categories":2892},[99],{"categories":2894},[259],{"categories":2896},[1718],{"categories":2898},[145],{"categories":2900},[123],{"categories":2902},[99],{"categories":2904},[123],{"categories":2906},[123],{"categories":2908},[99],{"categories":2910},[99],{"categories":2912},[123],{"categories":2914},[145],{"categories":2916},[145],{"categories":2918},[259],{"categories":2920},[47],{"categories":2922},[],{"categories":2924},[145],{"categories":2926},[99],{"categories":2928},[47],{"categories":2930},[102],{"categories":2932},[123],{"categories":2934},[99],{"categories":2936},[145],{"categories":2938},[],{"categories":2940},[99],{"categories":2942},[123],{"categories":2944},[123],{"categories":2946},[148],{"categories":2948},[99],{"categories":2950},[145],{"categories":2952},[99],{"categories":2954},[123],{"categories":2956},[47],{"categories":2958},[145],{"categories":2960},[47],{"categories":2962},[259],{"categories":2964},[47],{"categories":2966},[99],{"categories":2968},[99],{"categories":2970},[99],{"categories":2972},[99],{"categories":2974},[123],{"categories":2976},[99],{"categories":2978},[],{"categories":2980},[47],{"categories":2982},[107],{"categories":2984},[123],{"categories":2986},[],{"categories":2988},[],{"categories":2990},[99],{"categories":2992},[47],{"categories":2994},[99],{"categories":2996},[99],{"categories":2998},[2999],"Frameworks & Tooling",{"categories":3001},[99],{"categories":3003},[99],{"categories":3005},[123],{"categories":3007},[99],{"categories":3009},[99],{"categories":3011},[],{"categories":3013},[148],{"categories":3015},[148],{"categories":3017},[102],{"categories":3019},[99],{"categories":3021},[47],{"categories":3023},[99],{"categories":3025},[193],{"categories":3027},[],{"categories":3029},[1718],{"categories":3031},[99],{"categories":3033},[123],{"categories":3035},[99],{"categories":3037},[259],{"categories":3039},[259],{"categories":3041},[],{"categories":3043},[47],{"categories":3045},[99],{"categories":3047},[99],{"categories":3049},[145],{"categories":3051},[47],{"categories":3053},[145],{"categories":3055},[99],{"categories":3057},[47],{"categories":3059},[],{"categories":3061},[193],{"categories":3063},[99],{"categories":3065},[99],{"categories":3067},[],{"categories":3069},[99],{"categories":3071},[47],{"categories":3073},[99],{"categories":3075},[99],{"categories":3077},[99],{"categories":3079},[],{"categories":3081},[123],{"categories":3083},[99],{"categories":3085},[123],{"categories":3087},[259],{"categories":3089},[99],{"categories":3091},[99],{"categories":3093},[123],{"categories":3095},[107],{"categories":3097},[99],{"categories":3099},[1718],{"categories":3101},[],{"categories":3103},[47],{"categories":3105},[102],{"categories":3107},[99],{"categories":3109},[102],{"categories":3111},[99],{"categories":3113},[],{"categories":3115},[47],{"categories":3117},[99],{"categories":3119},[99],{"categories":3121},[3122],"AI Design Tooling",{"categories":3124},[193],{"categories":3126},[99],{"categories":3128},[99],{"categories":3130},[123],{"categories":3132},[193],{"categories":3134},[99],{"categories":3136},[123],{"categories":3138},[145],{"categories":3140},[114],{"categories":3142},[123],{"categories":3144},[99],{"categories":3146},[99],{"categories":3148},[99],{"categories":3150},[47],{"categories":3152},[99],{"categories":3154},[],{"categories":3156},[99],{"categories":3158},[99],{"categories":3160},[47],{"categories":3162},[99],{"categories":3164},[99],{"categories":3166},[99],{"categories":3168},[47],{"categories":3170},[],{"categories":3172},[47],{"categories":3174},[2999],{"categories":3176},[99],{"categories":3178},[99],{"categories":3180},[47],{"categories":3182},[47],{"categories":3184},[123],{"categories":3186},[123],{"categories":3188},[],{"categories":3190},[123],{"categories":3192},[99],{"categories":3194},[99],{"categories":3196},[47],{"categories":3198},[107],{"categories":3200},[99],{"categories":3202},[],{"categories":3204},[99],{"categories":3206},[99],{"categories":3208},[2133],{"categories":3210},[],{"categories":3212},[99],{"categories":3214},[99],{"categories":3216},[99],{"categories":3218},[99],{"categories":3220},[193],{"categories":3222},[99],{"categories":3224},[],{"categories":3226},[99],{"categories":3228},[99],{"categories":3230},[99],{"categories":3232},[222],{"categories":3234},[145],{"categories":3236},[99],{"categories":3238},[99],{"categories":3240},[1718],{"categories":3242},[102],{"categories":3244},[99],{"categories":3246},[99],{"categories":3248},[148],{"categories":3250},[99],{"categories":3252},[99],{"categories":3254},[145],{"categories":3256},[47],{"categories":3258},[],{"categories":3260},[99],{"categories":3262},[99],{"categories":3264},[193],{"categories":3266},[99],{"categories":3268},[222],{"categories":3270},[47],{"categories":3272},[99],{"categories":3274},[47],{"categories":3276},[],{"categories":3278},[],{"categories":3280},[],{"categories":3282},[102],{"categories":3284},[145],{"categories":3286},[47],{"categories":3288},[99],{"categories":3290},[99],{"categories":3292},[99],{"categories":3294},[99],{"categories":3296},[374],{"categories":3298},[193],{"categories":3300},[47],{"categories":3302},[99],{"categories":3304},[],{"categories":3306},[47],{"categories":3308},[47],{"categories":3310},[],{"categories":3312},[99],{"categories":3314},[47],{"categories":3316},[99],{"categories":3318},[],{"categories":3320},[99],{"categories":3322},[99],{"categories":3324},[99],{"categories":3326},[145],{"categories":3328},[193],{"categories":3330},[47],{"categories":3332},[193],{"categories":3334},[47],{"categories":3336},[99],{"categories":3338},[107],{"categories":3340},[],{"categories":3342},[],{"categories":3344},[99],{"categories":3346},[99],{"categories":3348},[99],{"categories":3350},[102],{"categories":3352},[47],{"categories":3354},[145],{"categories":3356},[],{"categories":3358},[193],{"categories":3360},[],{"categories":3362},[123],{"categories":3364},[99],{"categories":3366},[123],{"categories":3368},[193],{"categories":3370},[123],{"categories":3372},[99],{"categories":3374},[],{"categories":3376},[99],{"categories":3378},[99],{"categories":3380},[],{"categories":3382},[99],{"categories":3384},[222],{"categories":3386},[99],{"categories":3388},[259],{"categories":3390},[123],{"categories":3392},[99],{"categories":3394},[],{"categories":3396},[47],{"categories":3398},[99],{"categories":3400},[102],{"categories":3402},[487],{"categories":3404},[99],{"categories":3406},[47],{"categories":3408},[99],{"categories":3410},[47],{"categories":3412},[99],{"categories":3414},[99],{"categories":3416},[99],{"categories":3418},[99],{"categories":3420},[],{"categories":3422},[99],{"categories":3424},[102],{"categories":3426},[99],{"categories":3428},[107],{"categories":3430},[123],{"categories":3432},[193],{"categories":3434},[],{"categories":3436},[99],{"categories":3438},[],{"categories":3440},[],{"categories":3442},[47],{"categories":3444},[99],{"categories":3446},[123],{"categories":3448},[193],{"categories":3450},[145],{"categories":3452},[99],{"categories":3454},[145],{"categories":3456},[47],{"categories":3458},[193],{"categories":3460},[99],{"categories":3462},[],{"categories":3464},[99],{"categories":3466},[134],{"categories":3468},[47],{"categories":3470},[99],{"categories":3472},[193],{"categories":3474},[145],{"categories":3476},[107],{"categories":3478},[123],{"categories":3480},[99],{"categories":3482},[99],{"categories":3484},[99],{"categories":3486},[145],{"categories":3488},[222],{"categories":3490},[],{"categories":3492},[],{"categories":3494},[148],{"categories":3496},[430],{"categories":3498},[99],{"categories":3500},[47],{"categories":3502},[99,123],{"categories":3504},[145],{"categories":3506},[99],{"categories":3508},[99],{"categories":3510},[99],{"categories":3512},[99],{"categories":3514},[99],{"categories":3516},[47],{"categories":3518},[99],{"categories":3520},[47],{"categories":3522},[99],{"categories":3524},[99],{"categories":3526},[99],{"categories":3528},[],{"categories":3530},[99],{"categories":3532},[1180],{"categories":3534},[123],{"categories":3536},[193],{"categories":3538},[99],{"categories":3540},[99],{"categories":3542},[99],{"categories":3544},[148],{"categories":3546},[47],{"categories":3548},[222],{"categories":3550},[259],{"categories":3552},[],{"categories":3554},[99],{"categories":3556},[107],{"categories":3558},[47],{"categories":3560},[102],{"categories":3562},[47],{"categories":3564},[99],{"categories":3566},[47],{"categories":3568},[47],{"categories":3570},[114],{"categories":3572},[123],{"categories":3574},[99],{"categories":3576},[99],{"categories":3578},[],{"categories":3580},[],{"categories":3582},[],{"categories":3584},[259],{"categories":3586},[99],{"categories":3588},[145],{"categories":3590},[99],{"categories":3592},[99],{"categories":3594},[99],{"categories":3596},[99],{"categories":3598},[],{"categories":3600},[99],{"categories":3602},[148],{"categories":3604},[107],{"categories":3606},[47],{"categories":3608},[99],{"categories":3610},[],{"categories":3612},[99],{"categories":3614},[47],{"categories":3616},[99],{"categories":3618},[259],{"categories":3620},[],{"categories":3622},[193],{"categories":3624},[193],{"categories":3626},[99],{"categories":3628},[47],{"categories":3630},[],{"categories":3632},[123],{"categories":3634},[99],{"categories":3636},[193],{"categories":3638},[99],{"categories":3640},[107],{"categories":3642},[47],{"categories":3644},[99],{"categories":3646},[],{"categories":3648},[145],{"categories":3650},[99],{"categories":3652},[99],{"categories":3654},[99],{"categories":3656},[193],{"categories":3658},[47],{"categories":3660},[145],{"categories":3662},[],{"categories":3664},[47],{"categories":3666},[107],{"categories":3668},[47],{"categories":3670},[193],{"categories":3672},[99],{"categories":3674},[99],{"categories":3676},[99],{"categories":3678},[430],{"categories":3680},[99],{"categories":3682},[47],{"categories":3684},[],{"categories":3686},[99],{"categories":3688},[99],{"categories":3690},[259],{"categories":3692},[145],{"categories":3694},[148],{"categories":3696},[525],{"categories":3698},[148],{"categories":3700},[99],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[],{"categories":3708},[47],{"categories":3710},[47],{"categories":3712},[47],{"categories":3714},[123],{"categories":3716},[99],{"categories":3718},[407],{"categories":3720},[123],{"categories":3722},[99],{"categories":3724},[99],{"categories":3726},[99],{"categories":3728},[99],{"categories":3730},[47],{"categories":3732},[],{"categories":3734},[],{"categories":3736},[99],{"categories":3738},[],{"categories":3740},[99],{"categories":3742},[47],{"categories":3744},[193],{"categories":3746},[99],{"categories":3748},[99],{"categories":3750},[],{"categories":3752},[47],{"categories":3754},[99],{"categories":3756},[114],{"categories":3758},[99],{"categories":3760},[193],{"categories":3762},[99],{"categories":3764},[47],{"categories":3766},[107],{"categories":3768},[99],{"categories":3770},[222],{"categories":3772},[47],{"categories":3774},[99],{"categories":3776},[99],{"categories":3778},[833],{"categories":3780},[99],{"categories":3782},[47],{"categories":3784},[99],{"categories":3786},[123],{"categories":3788},[99],{"categories":3790},[487],{"categories":3792},[193],{"categories":3794},[],{"categories":3796},[99],{"categories":3798},[99],{"categories":3800},[145],{"categories":3802},[430],{"categories":3804},[47],{"categories":3806},[99],{"categories":3808},[],{"categories":3810},[145],{"categories":3812},[351],{"categories":3814},[47],{"categories":3816},[47],{"categories":3818},[47],{"categories":3820},[99],{"categories":3822},[99],{"categories":3824},[47],{"categories":3826},[],{"categories":3828},[107],{"categories":3830},[99],{"categories":3832},[107],{"categories":3834},[47],{"categories":3836},[],{"categories":3838},[123],{"categories":3840},[99],{"categories":3842},[99],{"categories":3844},[102],{"categories":3846},[145],{"categories":3848},[259],{"categories":3850},[134],{"categories":3852},[47],{"categories":3854},[47],{"categories":3856},[99],{"categories":3858},[47],{"categories":3860},[99],{"categories":3862},[102],{"categories":3864},[],{"categories":3866},[99],{"categories":3868},[99],{"categories":3870},[99],{"categories":3872},[47],{"categories":3874},[99],{"categories":3876},[],{"categories":3878},[99],{"categories":3880},[],{"categories":3882},[193],{"categories":3884},[47],{"categories":3886},[99,107],{"categories":3888},[47],{"categories":3890},[99],{"categories":3892},[],{"categories":3894},[102],{"categories":3896},[148],{"categories":3898},[107],{"categories":3900},[99],{"categories":3902},[123],{"categories":3904},[99],{"categories":3906},[99],{"categories":3908},[47],{"categories":3910},[99],{"categories":3912},[99],{"categories":3914},[99],{"categories":3916},[145],{"categories":3918},[1180],{"categories":3920},[47],{"categories":3922},[99],{"categories":3924},[],{"categories":3926},[],{"categories":3928},[99],{"categories":3930},[47],{"categories":3932},[99],{"categories":3934},[99],{"categories":3936},[259],{"categories":3938},[],{"categories":3940},[99],{"categories":3942},[47],{"categories":3944},[134],{"categories":3946},[47],{"categories":3948},[430],{"categories":3950},[],{"categories":3952},[374],{"categories":3954},[47],{"categories":3956},[99],{"categories":3958},[99],{"categories":3960},[222],{"categories":3962},[47],{"categories":3964},[99],{"categories":3966},[148],{"categories":3968},[114],{"categories":3970},[47],{"categories":3972},[99],{"categories":3974},[430],{"categories":3976},[99],{"categories":3978},[259],{"categories":3980},[107],{"categories":3982},[],{"categories":3984},[99],{"categories":3986},[222],{"categories":3988},[193],{"categories":3990},[99],{"categories":3992},[99],{"categories":3994},[99],{"categories":3996},[],{"categories":3998},[222],{"categories":4000},[145],{"categories":4002},[99],{"categories":4004},[99],{"categories":4006},[99],{"categories":4008},[525],{"categories":4010},[102],{"categories":4012},[99],{"categories":4014},[114],{"categories":4016},[99],{"categories":4018},[],{"categories":4020},[],{"categories":4022},[193],{"categories":4024},[99],{"categories":4026},[148],{"categories":4028},[222],{"categories":4030},[47],{"categories":4032},[99],{"categories":4034},[99],{"categories":4036},[222],{"categories":4038},[145],{"categories":4040},[],{"categories":4042},[99],{"categories":4044},[99],{"categories":4046},[],{"categories":4048},[99],{"categories":4050},[99],{"categories":4052},[550],{"categories":4054},[99],{"categories":4056},[99],{"categories":4058},[47],{"categories":4060},[123],{"categories":4062},[430],{"categories":4064},[99],{"categories":4066},[99],{"categories":4068},[99],{"categories":4070},[],{"categories":4072},[99,123],{"categories":4074},[145],{"categories":4076},[47],{"categories":4078},[123],{"categories":4080},[47],{"categories":4082},[869],{"categories":4084},[123],{"categories":4086},[123],{"categories":4088},[47],{"categories":4090},[99],{"categories":4092},[102],{"categories":4094},[],{"categories":4096},[],{"categories":4098},[47],{"categories":4100},[99],{"categories":4102},[123],{"categories":4104},[99],{"categories":4106},[102],{"categories":4108},[123],{"categories":4110},[123],{"categories":4112},[99],{"categories":4114},[222],{"categories":4116},[99],{"categories":4118},[123],{"categories":4120},[99],{"categories":4122},[],{"categories":4124},[99],{"categories":4126},[99],{"categories":4128},[193,99],{"categories":4130},[259],{"categories":4132},[102],{"categories":4134},[99],{"categories":4136},[],{"categories":4138},[99],{"categories":4140},[99],{"categories":4142},[107],{"categories":4144},[99],{"categories":4146},[107],{"categories":4148},[99],{"categories":4150},[99],{"categories":4152},[351],{"categories":4154},[99],{"categories":4156},[107],{"categories":4158},[123],{"categories":4160},[148],{"categories":4162},[47],{"categories":4164},[123],{"categories":4166},[99],{"categories":4168},[99],{"categories":4170},[145],{"categories":4172},[222],{"categories":4174},[193],{"categories":4176},[99],{"categories":4178},[99],{"categories":4180},[99],{"categories":4182},[99],{"categories":4184},[102],{"categories":4186},[99],{"categories":4188},[47],{"categories":4190},[47],{"categories":4192},[123],{"categories":4194},[145],{"categories":4196},[123],{"categories":4198},[123],{"categories":4200},[99],{"categories":4202},[99],{"categories":4204},[],{"categories":4206},[],{"categories":4208},[148],{"categories":4210},[99],{"categories":4212},[123],{"categories":4214},[99],{"categories":4216},[193],{"categories":4218},[430],{"categories":4220},[374],{"categories":4222},[351],{"categories":4224},[99],{"categories":4226},[99],{"categories":4228},[99],{"categories":4230},[148],{"categories":4232},[99],{"categories":4234},[99],{"categories":4236},[99],{"categories":4238},[99],{"categories":4240},[99],{"categories":4242},[99],{"categories":4244},[47],{"categories":4246},[102],{"categories":4248},[47],{"categories":4250},[99,107],{"categories":4252},[],{"categories":4254},[193],{"categories":4256},[],{"categories":4258},[114],{"categories":4260},[99],{"categories":4262},[145],{"categories":4264},[102],{"categories":4266},[99],{"categories":4268},[102],{"categories":4270},[47],{"categories":4272},[148],{"categories":4274},[47],{"categories":4276},[47],{"categories":4278},[99],{"categories":4280},[99],{"categories":4282},[107],{"categories":4284},[47],{"categories":4286},[123],{"categories":4288},[222],{"categories":4290},[99],{"categories":4292},[],{"categories":4294},[145],{"categories":4296},[99],{"categories":4298},[99],{"categories":4300},[99],{"categories":4302},[99],{"categories":4304},[99],{"categories":4306},[99],{"categories":4308},[123],{"categories":4310},[145],{"categories":4312},[123],{"categories":4314},[123],{"categories":4316},[99],{"categories":4318},[99],{"categories":4320},[99],{"categories":4322},[99],{"categories":4324},[374],{"categories":4326},[99],{"categories":4328},[47],{"categories":4330},[145],{"categories":4332},[99],{"categories":4334},[99],{"categories":4336},[99],{"categories":4338},[47],{"categories":4340},[99],{"categories":4342},[99],{"categories":4344},[99],{"categories":4346},[2999],{"categories":4348},[4349],"Clinical AI",{"categories":4351},[193],{"categories":4353},[99],{"categories":4355},[99],{"categories":4357},[99],{"categories":4359},[99],{"categories":4361},[259],{"categories":4363},[2376],{"categories":4365},[99],{"categories":4367},[114],{"categories":4369},[99],{"categories":4371},[47],{"categories":4373},[99],{"categories":4375},[99],{"categories":4377},[145],{"categories":4379},[99],{"categories":4381},[47],{"categories":4383},[123],{"categories":4385},[222],{"categories":4387},[99],{"categories":4389},[99],{"categories":4391},[107],{"categories":4393},[99],{"categories":4395},[99],{"categories":4397},[487],{"categories":4399},[99],{"categories":4401},[],{"categories":4403},[47],{"categories":4405},[99],{"categories":4407},[123],{"categories":4409},[102],{"categories":4411},[99],{"categories":4413},[],{"categories":4415},[],{"categories":4417},[99],{"categories":4419},[],{"categories":4421},[107],{"categories":4423},[99],{"categories":4425},[99],{"categories":4427},[47],{"categories":4429},[145],{"categories":4431},[145],{"categories":4433},[145],{"categories":4435},[145],{"categories":4437},[],{"categories":4439},[102],{"categories":4441},[47],{"categories":4443},[145],{"categories":4445},[99],{"categories":4447},[550],{"categories":4449},[114],{"categories":4451},[47],{"categories":4453},[99],{"categories":4455},[102],{"categories":4457},[99],{"categories":4459},[47],{"categories":4461},[99],{"categories":4463},[99],{"categories":4465},[99,47],{"categories":4467},[47],{"categories":4469},[259],{"categories":4471},[145],{"categories":4473},[47],{"categories":4475},[145],{"categories":4477},[47],{"categories":4479},[99],{"categories":4481},[],{"categories":4483},[145],{"categories":4485},[222],{"categories":4487},[102],{"categories":4489},[99],{"categories":4491},[99],{"categories":4493},[],{"categories":4495},[123],{"categories":4497},[],{"categories":4499},[102],{"categories":4501},[47],{"categories":4503},[145],{"categories":4505},[99],{"categories":4507},[145],{"categories":4509},[102],{"categories":4511},[145],{"categories":4513},[145],{"categories":4515},[],{"categories":4517},[107],{"categories":4519},[47],{"categories":4521},[145],{"categories":4523},[145],{"categories":4525},[145],{"categories":4527},[145],{"categories":4529},[145],{"categories":4531},[145],{"categories":4533},[145],{"categories":4535},[145],{"categories":4537},[145],{"categories":4539},[145],{"categories":4541},[148],{"categories":4543},[102],{"categories":4545},[99],{"categories":4547},[99],{"categories":4549},[47],{"categories":4551},[47],{"categories":4553},[],{"categories":4555},[99],{"categories":4557},[99,102],{"categories":4559},[],{"categories":4561},[47],{"categories":4563},[99],{"categories":4565},[145],{"categories":4567},[47],{"categories":4569},[869],{"categories":4571},[99],{"categories":4573},[99],{"categories":4575},[99],{"categories":4577},[99],{"categories":4579},[99],{"categories":4581},[351],{"categories":4583},[99],{"categories":4585},[99],{"categories":4587},[47],{"categories":4589},[99],{"categories":4591},[107],{"categories":4593},[114],{"categories":4595},[47],{"categories":4597},[47],{"categories":4599},[],{"categories":4601},[47],{"categories":4603},[193],{"categories":4605},[145],{"categories":4607},[99],{"categories":4609},[],{"categories":4611},[114],{"categories":4613},[],{"categories":4615},[123],{"categories":4617},[47],{"categories":4619},[193],{"categories":4621},[99],{"categories":4623},[],{"categories":4625},[99],{"categories":4627},[],{"categories":4629},[222],{"categories":4631},[99],{"categories":4633},[47],{"categories":4635},[],{"categories":4637},[],{"categories":4639},[145],{"categories":4641},[102],{"categories":4643},[99],{"categories":4645},[99],{"categories":4647},[107],{"categories":4649},[99],{"categories":4651},[99],{"categories":4653},[47],{"categories":4655},[99],{"categories":4657},[107],{"categories":4659},[107],{"categories":4661},[193],{"categories":4663},[],{"categories":4665},[99],{"categories":4667},[145],{"categories":4669},[],{"categories":4671},[99],{"categories":4673},[99],{"categories":4675},[193],{"categories":4677},[99],{"categories":4679},[99],{"categories":4681},[222],{"categories":4683},[99],{"categories":4685},[259],{"categories":4687},[],{"categories":4689},[47],{"categories":4691},[222],{"categories":4693},[123],{"categories":4695},[],{"categories":4697},[99],{"categories":4699},[],{"categories":4701},[47],{"categories":4703},[193],{"categories":4705},[123],{"categories":4707},[],{"categories":4709},[2999],{"categories":4711},[107],{"categories":4713},[102],{"categories":4715},[99],{"categories":4717},[148],{"categories":4719},[47],{"categories":4721},[193],{"categories":4723},[123],{"categories":4725},[],{"categories":4727},[],{"categories":4729},[99],{"categories":4731},[102],{"categories":4733},[99],{"categories":4735},[222],{"categories":4737},[],{"categories":4739},[47],{"categories":4741},[47],{"categories":4743},[99],{"categories":4745},[47],{"categories":4747},[99],{"categories":4749},[145],{"categories":4751},[123],{"categories":4753},[99],{"categories":4755},[47],{"categories":4757},[114],{"categories":4759},[99],{"categories":4761},[99],{"categories":4763},[47],{"categories":4765},[99],{"categories":4767},[114],{"categories":4769},[222],{"categories":4771},[145],{"categories":4773},[],{"categories":4775},[222],{"categories":4777},[99],{"categories":4779},[],{"categories":4781},[123],{"categories":4783},[47],{"categories":4785},[],{"categories":4787},[99],{"categories":4789},[99],{"categories":4791},[99],{"categories":4793},[99],{"categories":4795},[99],{"categories":4797},[47],{"categories":4799},[107],{"categories":4801},[102],{"categories":4803},[47],{"categories":4805},[99],{"categories":4807},[193],{"categories":4809},[123],{"categories":4811},[123],{"categories":4813},[99],{"categories":4815},[148],{"categories":4817},[47],{"categories":4819},[99],{"categories":4821},[99],{"categories":4823},[47],{"categories":4825},[99],{"categories":4827},[107],{"categories":4829},[99],{"categories":4831},[193],{"categories":4833},[123],{"categories":4835},[47],{"categories":4837},[99],{"categories":4839},[114],{"categories":4841},[99],{"categories":4843},[47],{"categories":4845},[99],{"categories":4847},[99],{"categories":4849},[145],{"categories":4851},[99],{"categories":4853},[],{"categories":4855},[102],{"categories":4857},[99],{"categories":4859},[99],{"categories":4861},[99],{"categories":4863},[123],{"categories":4865},[123],{"categories":4867},[99],{"categories":4869},[123],{"categories":4871},[99],{"categories":4873},[47],{"categories":4875},[99],{"categories":4877},[99],{"categories":4879},[99],{"categories":4881},[99],{"categories":4883},[99],{"categories":4885},[],{"categories":4887},[99],{"categories":4889},[193],{"categories":4891},[47],{"categories":4893},[107],{"categories":4895},[145],{"categories":4897},[99],{"categories":4899},[47],{"categories":4901},[99],{"categories":4903},[47],{"categories":4905},[99],{"categories":4907},[99],{"categories":4909},[193],{"categories":4911},[47],{"categories":4913},[99],{"categories":4915},[222],{"categories":4917},[99],{"categories":4919},[148],{"categories":4921},[99],{"categories":4923},[99],{"categories":4925},[145],{"categories":4927},[99],{"categories":4929},[99],{"categories":4931},[99],{"categories":4933},[99],{"categories":4935},[47],{"categories":4937},[259],{"categories":4939},[99],{"categories":4941},[123],{"categories":4943},[47],{"categories":4945},[148],{"categories":4947},[],{"categories":4949},[47],{"categories":4951},[123],{"categories":4953},[99],{"categories":4955},[99],{"categories":4957},[2218],{"categories":4959},[193],{"categories":4961},[288],{"categories":4963},[99],{"categories":4965},[99],{"categories":4967},[99],{"categories":4969},[99],{"categories":4971},[102],{"categories":4973},[99],{"categories":4975},[99],{"categories":4977},[123],{"categories":4979},[107],{"categories":4981},[99],{"categories":4983},[123],{"categories":4985},[99],{"categories":4987},[],{"categories":4989},[47],{"categories":4991},[47],{"categories":4993},[99],{"categories":4995},[99],{"categories":4997},[148],{"categories":4999},[],{"categories":5001},[145],{"categories":5003},[],{"categories":5005},[145],{"categories":5007},[99],{"categories":5009},[99],{"categories":5011},[47],{"categories":5013},[99],{"categories":5015},[47],{"categories":5017},[47],{"categories":5019},[],{"categories":5021},[99],{"categories":5023},[145],{"categories":5025},[99],{"categories":5027},[],{"categories":5029},[99],{"categories":5031},[99],{"categories":5033},[],{"categories":5035},[99],{"categories":5037},[193],{"categories":5039},[123],{"categories":5041},[47],{"categories":5043},[99],{"categories":5045},[99],{"categories":5047},[99],{"categories":5049},[99],{"categories":5051},[222],{"categories":5053},[99],{"categories":5055},[99],{"categories":5057},[99],{"categories":5059},[102],{"categories":5061},[99],{"categories":5063},[99],{"categories":5065},[],{"categories":5067},[99],{"categories":5069},[99],{"categories":5071},[99],{"categories":5073},[],{"categories":5075},[102],{"categories":5077},[99],{"categories":5079},[99],{"categories":5081},[145],{"categories":5083},[123],{"categories":5085},[114],{"categories":5087},[430],{"categories":5089},[99],{"categories":5091},[99],{"categories":5093},[99],{"categories":5095},[123],{"categories":5097},[145],{"categories":5099},[193],{"categories":5101},[99],{"categories":5103},[99],{"categories":5105},[99],{"categories":5107},[99],{"categories":5109},[145],{"categories":5111},[193],{"categories":5113},[99],{"categories":5115},[99],{"categories":5117},[145],{"categories":5119},[193],{"categories":5121},[99],{"categories":5123},[145],{"categories":5125},[99],{"categories":5127},[47],{"categories":5129},[47],{"categories":5131},[47],{"categories":5133},[123],{"categories":5135},[145],{"categories":5137},[47],{"categories":5139},[47],{"categories":5141},[99],{"categories":5143},[123],{"categories":5145},[193],{"categories":5147},[99],{"categories":5149},[99],{"categories":5151},[47],{"categories":5153},[99],{"categories":5155},[],{"categories":5157},[47],{"categories":5159},[],{"categories":5161},[99],{"categories":5163},[99],{"categories":5165},[],{"categories":5167},[],{"categories":5169},[47],{"categories":5171},[107],{"categories":5173},[47],{"categories":5175},[5176],"Liability & Ethics",{"categories":5178},[99],{"categories":5180},[99],{"categories":5182},[99],{"categories":5184},[47],{"categories":5186},[102],{"categories":5188},[47],{"categories":5190},[107],{"categories":5192},[222],{"categories":5194},[47],{"categories":5196},[99],{"categories":5198},[99],{"categories":5200},[],{"categories":5202},[525],{"categories":5204},[47],{"categories":5206},[],{"categories":5208},[99],{"categories":5210},[102],{"categories":5212},[47],{"categories":5214},[],{"categories":5216},[47],{"categories":5218},[99],{"categories":5220},[99],{"categories":5222},[123],{"categories":5224},[99],{"categories":5226},[145],{"categories":5228},[99],{"categories":5230},[99],{"categories":5232},[47],{"categories":5234},[99],{"categories":5236},[99],{"categories":5238},[99],{"categories":5240},[145],{"categories":5242},[47],{"categories":5244},[123],{"categories":5246},[193],{"categories":5248},[102],{"categories":5250},[99],{"categories":5252},[99],{"categories":5254},[],{"categories":5256},[47],{"categories":5258},[47],{"categories":5260},[47],{"categories":5262},[430],{"categories":5264},[193],{"categories":5266},[47],{"categories":5268},[259],{"categories":5270},[123],{"categories":5272},[145],{"categories":5274},[99],{"categories":5276},[193],{"categories":5278},[99],{"categories":5280},[102],{"categories":5282},[],{"categories":5284},[47],{"categories":5286},[99],{"categories":5288},[99],{"categories":5290},[99],{"categories":5292},[99],{"categories":5294},[47],{"categories":5296},[99],{"categories":5298},[99],{"categories":5300},[193],{"categories":5302},[],{"categories":5304},[47],{"categories":5306},[114],{"categories":5308},[145],{"categories":5310},[47],{"categories":5312},[107],{"categories":5314},[],{"categories":5316},[99],{"categories":5318},[99],{"categories":5320},[114],{"categories":5322},[99],{"categories":5324},[47],{"categories":5326},[145],{"categories":5328},[102],{"categories":5330},[259],{"categories":5332},[99],{"categories":5334},[99],{"categories":5336},[99],{"categories":5338},[145],{"categories":5340},[107],{"categories":5342},[99],{"categories":5344},[193],{"categories":5346},[145],{"categories":5348},[259],{"categories":5350},[99],{"categories":5352},[47],{"categories":5354},[],{"categories":5356},[487],{"categories":5358},[],{"categories":5360},[99],{"categories":5362},[259],{"categories":5364},[99],{"categories":5366},[148],{"categories":5368},[99],{"categories":5370},[47],{"categories":5372},[47],{"categories":5374},[5375],"Design News & Tools",{"categories":5377},[99],{"categories":5379},[145],{"categories":5381},[99],{"categories":5383},[99],{"categories":5385},[102],{"categories":5387},[99],{"categories":5389},[193],{"categories":5391},[47],{"categories":5393},[47],{"categories":5395},[193],{"categories":5397},[99],{"categories":5399},[430],{"categories":5401},[47],{"categories":5403},[99],{"categories":5405},[99],{"categories":5407},[430],{"categories":5409},[99],{"categories":5411},[222],{"categories":5413},[99],{"categories":5415},[47],{"categories":5417},[],{"categories":5419},[99],{"categories":5421},[99],{"categories":5423},[99],{"categories":5425},[145],{"categories":5427},[102],{"categories":5429},[],{"categories":5431},[99],{"categories":5433},[99],{"categories":5435},[99],{"categories":5437},[123],{"categories":5439},[550],{"categories":5441},[123],{"categories":5443},[193],{"categories":5445},[99],{"categories":5447},[99,47],{"categories":5449},[222,107],{"categories":5451},[123],{"categories":5453},[99],{"categories":5455},[99],{"categories":5457},[99],{"categories":5459},[99],{"categories":5461},[],{"categories":5463},[47],{"categories":5465},[99],{"categories":5467},[],{"categories":5469},[99],{"categories":5471},[123],{"categories":5473},[99],{"categories":5475},[123],{"categories":5477},[],{"categories":5479},[47],{"categories":5481},[99],{"categories":5483},[107],{"categories":5485},[99],{"categories":5487},[145],{"categories":5489},[99],{"categories":5491},[],{"categories":5493},[47],{"categories":5495},[99],{"categories":5497},[],{"categories":5499},[193],{"categories":5501},[99],{"categories":5503},[99],{"categories":5505},[47],{"categories":5507},[99],{"categories":5509},[99],{"categories":5511},[102],{"categories":5513},[47],{"categories":5515},[99],{"categories":5517},[],{"categories":5519},[99],{"categories":5521},[259],{"categories":5523},[222],{"categories":5525},[107],{"categories":5527},[107],{"categories":5529},[99],{"categories":5531},[102],{"categories":5533},[102],{"categories":5535},[99],{"categories":5537},[47],{"categories":5539},[99],{"categories":5541},[99],{"categories":5543},[99],{"categories":5545},[99],{"categories":5547},[123],{"categories":5549},[99],{"categories":5551},[102],{"categories":5553},[99],{"categories":5555},[47],{"categories":5557},[99],{"categories":5559},[222],{"categories":5561},[99],{"categories":5563},[145],{"categories":5565},[99],{"categories":5567},[99],{"categories":5569},[47],{"categories":5571},[99],{"categories":5573},[99],{"categories":5575},[47],{"categories":5577},[],{"categories":5579},[123],{"categories":5581},[],{"categories":5583},[123],{"categories":5585},[47],{"categories":5587},[102],{"categories":5589},[99],{"categories":5591},[],{"categories":5593},[148],{"categories":5595},[259],{"categories":5597},[99],{"categories":5599},[123],{"categories":5601},[99],{"categories":5603},[],{"categories":5605},[145],{"categories":5607},[47],{"categories":5609},[123],{"categories":5611},[193],{"categories":5613},[107],{"categories":5615},[99],{"categories":5617},[99],{"categories":5619},[47],{"categories":5621},[123],{"categories":5623},[47],{"categories":5625},[145],{"categories":5627},[99],{"categories":5629},[114],{"categories":5631},[102],{"categories":5633},[114],{"categories":5635},[145],{"categories":5637},[99],{"categories":5639},[123],{"categories":5641},[99],{"categories":5643},[193],{"categories":5645},[107],{"categories":5647},[99],{"categories":5649},[99],{"categories":5651},[99],{"categories":5653},[99],{"categories":5655},[99],{"categories":5657},[99],{"categories":5659},[47],{"categories":5661},[99],{"categories":5663},[47],{"categories":5665},[99],{"categories":5667},[99],{"categories":5669},[102],{"categories":5671},[99],{"categories":5673},[47],{"categories":5675},[47],{"categories":5677},[193],{"categories":5679},[47],{"categories":5681},[47],{"categories":5683},[99],{"categories":5685},[102],{"categories":5687},[47],{"categories":5689},[193],{"categories":5691},[],{"categories":5693},[99],{"categories":5695},[148],{"categories":5697},[430],{"categories":5699},[99],{"categories":5701},[99],{"categories":5703},[99],{"categories":5705},[123],{"categories":5707},[99],{"categories":5709},[],{"categories":5711},[99],{"categories":5713},[47],{"categories":5715},[99],{"categories":5717},[222],{"categories":5719},[99],{"categories":5721},[123],{"categories":5723},[99],{"categories":5725},[145],{"categories":5727},[47],{"categories":5729},[99],{"categories":5731},[222],{"categories":5733},[47],{"categories":5735},[107],{"categories":5737},[107],{"categories":5739},[99],{"categories":5741},[99],{"categories":5743},[99],{"categories":5745},[99],{"categories":5747},[99],{"categories":5749},[99],{"categories":5751},[102],{"categories":5753},[],{"categories":5755},[99],{"categories":5757},[99],{"categories":5759},[47],{"categories":5761},[47],{"categories":5763},[99],{"categories":5765},[99],{"categories":5767},[99],{"categories":5769},[99],{"categories":5771},[123],{"categories":5773},[],{"categories":5775},[102],{"categories":5777},[99],{"categories":5779},[99],{"categories":5781},[47],{"categories":5783},[47],{"categories":5785},[],{"categories":5787},[123],{"categories":5789},[123],{"categories":5791},[99],{"categories":5793},[222],{"categories":5795},[107],{"categories":5797},[193],{"categories":5799},[],{"categories":5801},[99],{"categories":5803},[47],{"categories":5805},[102],{"categories":5807},[99],{"categories":5809},[99],{"categories":5811},[123],{"categories":5813},[102],{"categories":5815},[99],{"categories":5817},[99],{"categories":5819},[145],{"categories":5821},[148],{"categories":5823},[99],{"categories":5825},[145],{"categories":5827},[47],{"categories":5829},[99],{"categories":5831},[],{"categories":5833},[145],{"categories":5835},[47],{"categories":5837},[193],{"categories":5839},[148],{"categories":5841},[99],{"categories":5843},[99],{"categories":5845},[],{"categories":5847},[47],{"categories":5849},[47],{"categories":5851},[47],{"categories":5853},[2999],{"categories":5855},[145],{"categories":5857},[99],{"categories":5859},[123],{"categories":5861},[99],{"categories":5863},[99],{"categories":5865},[99],{"categories":5867},[99],{"categories":5869},[107],{"categories":5871},[99],{"categories":5873},[102],{"categories":5875},[1718],{"categories":5877},[259],{"categories":5879},[102],{"categories":5881},[],{"categories":5883},[99],{"categories":5885},[],{"categories":5887},[145],{"categories":5889},[47],{"categories":5891},[193],{"categories":5893},[99],{"categories":5895},[99],{"categories":5897},[99],{"categories":5899},[145],{"categories":5901},[],{"categories":5903},[47],{"categories":5905},[99],{"categories":5907},[47],{"categories":5909},[47],{"categories":5911},[],{"categories":5913},[99],{"categories":5915},[],{"categories":5917},[145],{"categories":5919},[102],{"categories":5921},[193],{"categories":5923},[99],{"categories":5925},[47],{"categories":5927},[145],{"categories":5929},[99],{"categories":5931},[145],{"categories":5933},[],{"categories":5935},[145],{"categories":5937},[102],{"categories":5939},[430],{"categories":5941},[47],{"categories":5943},[99],{"categories":5945},[],{"categories":5947},[123],{"categories":5949},[47],{"categories":5951},[114],{"categories":5953},[47],{"categories":5955},[102],{"categories":5957},[99],{"categories":5959},[],{"categories":5961},[],{"categories":5963},[],{"categories":5965},[193],{"categories":5967},[99],{"categories":5969},[47],{"categories":5971},[99],{"categories":5973},[99],{"categories":5975},[],{"categories":5977},[],{"categories":5979},[],{"categories":5981},[99],{"categories":5983},[193],{"categories":5985},[99],{"categories":5987},[],{"categories":5989},[47],{"categories":5991},[99],{"categories":5993},[99],{"categories":5995},[102],{"categories":5997},[],{"categories":5999},[],{"categories":6001},[99],{"categories":6003},[99],{"categories":6005},[47],{"categories":6007},[193],{"categories":6009},[99],{"categories":6011},[145],{"categories":6013},[],{"categories":6015},[99],{"categories":6017},[99],{"categories":6019},[222],{"categories":6021},[145],{"categories":6023},[222],{"categories":6025},[148],{"categories":6027},[99],{"categories":6029},[99],{"categories":6031},[],{"categories":6033},[],{"categories":6035},[47],{"categories":6037},[],{"categories":6039},[99],{"categories":6041},[430],{"categories":6043},[99],{"categories":6045},[99],{"categories":6047},[99],{"categories":6049},[99],{"categories":6051},[],{"categories":6053},[47],{"categories":6055},[99],{"categories":6057},[99],{"categories":6059},[],{"categories":6061},[47],{"categories":6063},[99],{"categories":6065},[145],{"categories":6067},[99],{"categories":6069},[222],{"categories":6071},[107],{"categories":6073},[99],{"categories":6075},[99],{"categories":6077},[47],{"categories":6079},[148],{"categories":6081},[47],{"categories":6083},[47],{"categories":6085},[],{"categories":6087},[47],{"categories":6089},[],{"categories":6091},[99],{"categories":6093},[],{"categories":6095},[145],{"categories":6097},[107],{"categories":6099},[],{"categories":6101},[99],{"categories":6103},[99],{"categories":6105},[],{"categories":6107},[193],{"categories":6109},[102],{"categories":6111},[],{"categories":6113},[107],{"categories":6115},[222],{"categories":6117},[99],{"categories":6119},[123],{"categories":6121},[102],{"categories":6123},[148],{"categories":6125},[107],{"categories":6127},[123],{"categories":6129},[47],{"categories":6131},[123],{"categories":6133},[],{"categories":6135},[99],{"categories":6137},[114],{"categories":6139},[99],{"categories":6141},[],{"categories":6143},[47],{"categories":6145},[102],{"categories":6147},[193],{"categories":6149},[99],{"categories":6151},[102],{"categories":6153},[47],{"categories":6155},[259],{"categories":6157},[99],{"categories":6159},[99],{"categories":6161},[99],{"categories":6163},[99],{"categories":6165},[102],{"categories":6167},[148],{"categories":6169},[47],{"categories":6171},[],{"categories":6173},[99],{"categories":6175},[99],{"categories":6177},[99],{"categories":6179},[123],{"categories":6181},[47],{"categories":6183},[145],{"categories":6185},[123],{"categories":6187},[99],{"categories":6189},[114],{"categories":6191},[],{"categories":6193},[193],{"categories":6195},[123],{"categories":6197},[145],{"categories":6199},[102],{"categories":6201},[47],{"categories":6203},[99],{"categories":6205},[99],{"categories":6207},[47],{"categories":6209},[114],{"categories":6211},[99],{"categories":6213},[47],{"categories":6215},[99],{"categories":6217},[107],{"categories":6219},[47],{"categories":6221},[47,259],{"categories":6223},[99],{"categories":6225},[99],{"categories":6227},[47],{"categories":6229},[123],{"categories":6231},[99],{"categories":6233},[99],{"categories":6235},[148],{"categories":6237},[47],{"categories":6239},[222],{"categories":6241},[47],{"categories":6243},[107],{"categories":6245},[],{"categories":6247},[47],{"categories":6249},[99],{"categories":6251},[107],{"categories":6253},[],{"categories":6255},[],{"categories":6257},[123],{"categories":6259},[99],{"categories":6261},[99],{"categories":6263},[47],{"categories":6265},[148],{"categories":6267},[222],{"categories":6269},[99],{"categories":6271},[99],{"categories":6273},[99],{"categories":6275},[47],{"categories":6277},[],{"categories":6279},[47],{"categories":6281},[145],{"categories":6283},[47],{"categories":6285},[47],{"categories":6287},[99],{"categories":6289},[],{"categories":6291},[145],{"categories":6293},[123],{"categories":6295},[2999],{"categories":6297},[102],{"categories":6299},[123],{"categories":6301},[99],{"categories":6303},[47],{"categories":6305},[99],{"categories":6307},[99],{"categories":6309},[222],{"categories":6311},[123],{"categories":6313},[],{"categories":6315},[145],{"categories":6317},[99],{"categories":6319},[],{"categories":6321},[47],{"categories":6323},[99],{"categories":6325},[99],{"categories":6327},[99],{"categories":6329},[99],{"categories":6331},[47],{"categories":6333},[99],{"categories":6335},[99],{"categories":6337},[99],{"categories":6339},[114],{"categories":6341},[99],{"categories":6343},[47],{"categories":6345},[99],{"categories":6347},[99],{"categories":6349},[99],{"categories":6351},[99],{"categories":6353},[99],{"categories":6355},[99],{"categories":6357},[99],{"categories":6359},[107],{"categories":6361},[],{"categories":6363},[114],{"categories":6365},[145],{"categories":6367},[47],{"categories":6369},[99],{"categories":6371},[123],{"categories":6373},[],{"categories":6375},[123],{"categories":6377},[123],{"categories":6379},[47],{"categories":6381},[123],{"categories":6383},[99],{"categories":6385},[99],{"categories":6387},[99],{"categories":6389},[47],{"categories":6391},[123],{"categories":6393},[99],{"categories":6395},[99],{"categories":6397},[99],{"categories":6399},[47],{"categories":6401},[145],{"categories":6403},[99],{"categories":6405},[99],{"categories":6407},[99],{"categories":6409},[107],{"categories":6411},[99],{"categories":6413},[47],{"categories":6415},[193],{"categories":6417},[],{"categories":6419},[99],{"categories":6421},[148],{"categories":6423},[47],{"categories":6425},[99],{"categories":6427},[99],{"categories":6429},[],{"categories":6431},[99],{"categories":6433},[99],{"categories":6435},[145],{"categories":6437},[99],{"categories":6439},[99],{"categories":6441},[47],{"categories":6443},[222],{"categories":6445},[],{"categories":6447},[],{"categories":6449},[123],{"categories":6451},[99],{"categories":6453},[99],{"categories":6455},[145],{"categories":6457},[99],{"categories":6459},[123],{"categories":6461},[145],{"categories":6463},[99],{"categories":6465},[99],{"categories":6467},[222],{"categories":6469},[148],{"categories":6471},[99],{"categories":6473},[99],{"categories":6475},[102],{"categories":6477},[47],{"categories":6479},[99],{"categories":6481},[99],{"categories":6483},[47],{"categories":6485},[47],{"categories":6487},[123],{"categories":6489},[99],{"categories":6491},[107],{"categories":6493},[],{"categories":6495},[99],{"categories":6497},[148],{"categories":6499},[99],{"categories":6501},[],{"categories":6503},[145],{"categories":6505},[99],{"categories":6507},[47],{"categories":6509},[148],{"categories":6511},[99],{"categories":6513},[123],{"categories":6515},[123],{"categories":6517},[123],{"categories":6519},[99],{"categories":6521},[47],{"categories":6523},[47],{"categories":6525},[99],{"categories":6527},[47],{"categories":6529},[99],{"categories":6531},[99],{"categories":6533},[193],{"categories":6535},[148],{"categories":6537},[148],{"categories":6539},[],{"categories":6541},[145],{"categories":6543},[99],{"categories":6545},[99],{"categories":6547},[123],{"categories":6549},[],{"categories":6551},[145],{"categories":6553},[145],{"categories":6555},[145],{"categories":6557},[],{"categories":6559},[47],{"categories":6561},[99],{"categories":6563},[],{"categories":6565},[102],{"categories":6567},[107],{"categories":6569},[],{"categories":6571},[99],{"categories":6573},[99],{"categories":6575},[],{"categories":6577},[123],{"categories":6579},[],{"categories":6581},[],{"categories":6583},[],{"categories":6585},[],{"categories":6587},[99],{"categories":6589},[145],{"categories":6591},[],{"categories":6593},[],{"categories":6595},[99],{"categories":6597},[99],{"categories":6599},[99],{"categories":6601},[148],{"categories":6603},[99],{"categories":6605},[148],{"categories":6607},[],{"categories":6609},[148],{"categories":6611},[148],{"categories":6613},[259],{"categories":6615},[47],{"categories":6617},[123],{"categories":6619},[],{"categories":6621},[],{"categories":6623},[148],{"categories":6625},[123],{"categories":6627},[123],{"categories":6629},[123],{"categories":6631},[],{"categories":6633},[102],{"categories":6635},[123],{"categories":6637},[123],{"categories":6639},[102],{"categories":6641},[123],{"categories":6643},[107],{"categories":6645},[123],{"categories":6647},[123],{"categories":6649},[123],{"categories":6651},[148],{"categories":6653},[145],{"categories":6655},[145],{"categories":6657},[99],{"categories":6659},[123],{"categories":6661},[148],{"categories":6663},[259],{"categories":6665},[148],{"categories":6667},[148],{"categories":6669},[148],{"categories":6671},[],{"categories":6673},[107],{"categories":6675},[],{"categories":6677},[259],{"categories":6679},[123],{"categories":6681},[123],{"categories":6683},[123],{"categories":6685},[47],{"categories":6687},[145,107],{"categories":6689},[148],{"categories":6691},[],{"categories":6693},[],{"categories":6695},[148],{"categories":6697},[],{"categories":6699},[148],{"categories":6701},[145],{"categories":6703},[47],{"categories":6705},[],{"categories":6707},[123],{"categories":6709},[99],{"categories":6711},[193],{"categories":6713},[],{"categories":6715},[99],{"categories":6717},[],{"categories":6719},[145],{"categories":6721},[102],{"categories":6723},[148],{"categories":6725},[],{"categories":6727},[123],{"categories":6729},[145],[6731,6861,6969,7054],{"id":6732,"title":6733,"ai":6734,"body":6740,"categories":6827,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6828,"navigation":75,"path":6848,"published_at":48,"question":48,"scraped_at":6849,"seo":6850,"sitemap":6851,"source_id":6852,"source_name":6853,"source_type":6854,"source_url":6855,"stem":6856,"tags":6857,"thumbnail_url":48,"tldr":6858,"tweet":48,"unknown_tags":6859,"__hash__":6860},"summaries\u002Fsummaries\u002Ff226959a357fcf27-ai-agents-auto-optimize-nanochat-llm-training-on-o-summary.md","AI Agents Auto-Optimize Nanochat LLM Training on One GPU",{"provider":7,"model":6735,"input_tokens":6736,"output_tokens":6737,"processing_time_ms":6738,"cost_usd":6739},"x-ai\u002Fgrok-4.1-fast",5258,1447,8021,0.00126825,{"type":14,"value":6741,"toc":6822},[6742,6746,6776,6780,6783,6787],[17,6743,6745],{"id":6744},"autonomous-research-loop-drives-overnight-improvements","Autonomous Research Loop Drives Overnight Improvements",[22,6747,6748,6749,6753,6754,6757,6758,6761,6762,6764,6765,6767,6768,6771,6772,6775],{},"AI agents replace manual LLM research by iteratively modifying ",[6750,6751,6752],"code",{},"train.py"," (model, optimizer, training loop), running fixed 5-minute wall-clock training sessions (excluding startup), and evaluating on validation bits-per-byte (val_bpb, lower is better, vocab-independent for fair architecture comparisons). Agents check if val_bpb improves; if yes, commit changes, else discard and retry. Start by prompting Claude\u002FCodex (permissions disabled) with: \"Hi have a look at program.md and let's kick off a new experiment! let's do the setup first.\" ",[6750,6755,6756],{},"program.md"," provides agent context and instructions as a lightweight \"skill\"—edit it to refine agent behavior, add more agents, or accelerate progress. Wake to experiment logs and potentially better models from nanochat (simplified single-GPU LLM trainer). Core files: ",[6750,6759,6760],{},"prepare.py"," (data prep, constants—do not modify), ",[6750,6763,6752],{}," (agent-editable), ",[6750,6766,6756],{}," (agent programming). Setup: Single NVIDIA GPU (H100 tested), Python 3.10+, uv package manager; run ",[6750,6769,6770],{},"uv sync"," then ",[6750,6773,6774],{},"python prepare.py",".",[17,6777,6779],{"id":6778},"fixed-time-budget-enables-rapid-iteration","Fixed-Time Budget Enables Rapid Iteration",[22,6781,6782],{},"Every experiment uses a strict 5-minute training budget regardless of compute details, focusing on throughput. Metric val_bpb normalizes across vocab sizes and architectures. For beginners, reference the \"Dummy's Guide\" tweet for neural net basics. Ties into nanochat repo for full context. Repo kept minimal (no bloat for CPU\u002FMPS yet—forks welcome; parent nanochat has broader support like Flash Attention 3 fallbacks).",[17,6784,6786],{"id":6785},"tuning-for-smaller-gpus-maximizes-accessibility","Tuning for Smaller GPUs Maximizes Accessibility",[22,6788,6789,6790,6792,6793,6795,6796,6799,6800,6803,6804,6807,6808,6811,6812,6807,6815,6807,6818,6821],{},"On sub-H100 hardware (e.g., MacBooks), fork and adjust hyperparameters in ",[6750,6791,6760],{},"\u002F",[6750,6794,6752],{},": reduce ",[6750,6797,6798],{},"vocab_size"," (default suits tiny models), ",[6750,6801,6802],{},"MAX_SEQ_LEN"," (e.g., 1024), ",[6750,6805,6806],{},"DEVICE_BATCH_SIZE",", ",[6750,6809,6810],{},"EVAL_TOKENS"," (fewer for speed), ",[6750,6813,6814],{},"DEPTH",[6750,6816,6817],{},"WINDOW_PATTERN",[6750,6819,6820],{},"TOTAL_BATCH_SIZE"," (e.g., 2**14). Prompt coding agents with this guide + source code for help. Notable forks listed for low-compute tinkering.",{"title":40,"searchDepth":41,"depth":41,"links":6823},[6824,6825,6826],{"id":6744,"depth":41,"text":6745},{"id":6778,"depth":41,"text":6779},{"id":6785,"depth":41,"text":6786},[47],{"content_references":6829,"triage":6846},[6830,6834,6837,6839,6843],{"type":64,"title":6831,"url":6832,"context":6833},"nanochat","https:\u002F\u002Fgithub.com\u002Fkarpathy\u002Fnanochat","mentioned",{"type":54,"title":6835,"url":6836,"context":6833},"Tweet by @karpathy","https:\u002F\u002Fx.com\u002Fkarpathy\u002Fstatus\u002F2029701092347630069",{"type":54,"title":6835,"url":6838,"context":6833},"https:\u002F\u002Fx.com\u002Fkarpathy\u002Fstatus\u002F2031135152349524125",{"type":54,"title":6840,"author":6841,"url":6842,"context":58},"Dummy's Guide tweet","hooeem","https:\u002F\u002Fx.com\u002Fhooeem\u002Fstatus\u002F2030720614752039185",{"type":64,"title":6844,"url":6845,"context":6833},"uv","https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F",{"relevance":71,"novelty":72,"quality":72,"actionability":72,"composite":73,"reasoning":6847},"Category: AI & LLMs. The article provides a detailed overview of how AI agents can autonomously optimize LLM training, addressing practical applications for developers looking to implement AI in their workflows. It includes specific instructions on modifying training scripts and setting up experiments, making it actionable for the target audience.","\u002Fsummaries\u002Ff226959a357fcf27-ai-agents-auto-optimize-nanochat-llm-training-on-o-summary","2026-04-15 15:30:33",{"title":6733,"description":40},{"loc":6848},"f226959a357fcf27","__oneoff__","article","https:\u002F\u002Fgithub.com\u002Fkarpathy\u002Fautoresearch","summaries\u002Ff226959a357fcf27-ai-agents-auto-optimize-nanochat-llm-training-on-o-summary",[87,89,88,90],"AI agents autonomously edit train.py, run 5-minute training epochs on nanochat, evaluate via val_bpb metric (lower better), and iterate overnight to improve models without human intervention.",[],"c_Fo7aT2uQPmCE1-Y7OnA3u7HmYlnno9rc5Kc0_xHwM",{"id":6862,"title":6863,"ai":6864,"body":6869,"categories":6947,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6948,"navigation":75,"path":6956,"published_at":6957,"question":48,"scraped_at":6958,"seo":6959,"sitemap":6960,"source_id":6961,"source_name":6962,"source_type":6854,"source_url":6963,"stem":6964,"tags":6965,"thumbnail_url":48,"tldr":6966,"tweet":48,"unknown_tags":6967,"__hash__":6968},"summaries\u002Fsummaries\u002Fedcf116ff44027cb-building-self-evolving-ai-agents-with-local-skill-summary.md","Building Self-Evolving AI Agents with Local Skill Databases",{"provider":7,"model":8,"input_tokens":6865,"output_tokens":6866,"processing_time_ms":6867,"cost_usd":6868},3996,565,3114,0.0018465,{"type":14,"value":6870,"toc":6942},[6871,6875,6878,6882,6885,6908,6912,6915],[17,6872,6874],{"id":6873},"the-architecture-of-self-evolving-agents","The Architecture of Self-Evolving Agents",[22,6876,6877],{},"Traditional AI agents often rely on static tool definitions, requiring developers to manually code every capability. A self-evolving agent shifts this paradigm by using an LLM (such as Gemini 2.5 Flash) to identify its own functional gaps, write Python code to bridge them, and persist these tools in a local database. This creates a 'procedural memory' that allows the agent to grow more capable over time without human intervention.",[17,6879,6881],{"id":6880},"benefits-of-local-skill-persistence","Benefits of Local Skill Persistence",[22,6883,6884],{},"Implementing a local skill database addresses three primary constraints in current AI development:",[6886,6887,6888,6896,6902],"ul",{},[6889,6890,6891,6895],"li",{},[6892,6893,6894],"strong",{},"Cost Efficiency:"," By generating a tool once and saving it locally, the agent avoids the recurring token costs associated with repeatedly asking the LLM to write code for the same task.",[6889,6897,6898,6901],{},[6892,6899,6900],{},"Reduced Latency:"," Executing pre-written local code is significantly faster than generating new code via an LLM during every interaction cycle.",[6889,6903,6904,6907],{},[6892,6905,6906],{},"Increased Autonomy:"," The agent becomes capable of handling novel tasks by synthesizing new tools on the fly, effectively expanding its own operational scope as it encounters new requirements.",[17,6909,6911],{"id":6910},"implementation-strategy","Implementation Strategy",[22,6913,6914],{},"To build this system, the agent requires a loop that includes:",[6916,6917,6918,6924,6930,6936],"ol",{},[6889,6919,6920,6923],{},[6892,6921,6922],{},"Gap Analysis:"," The agent evaluates a user request against its current toolset. If no tool exists, it triggers a code-generation prompt.",[6889,6925,6926,6929],{},[6892,6927,6928],{},"Tool Construction:"," The LLM writes a Python function designed to solve the specific task (e.g., a web search utility).",[6889,6931,6932,6935],{},[6892,6933,6934],{},"Validation and Storage:"," The generated code is validated and saved to a local database (such as a JSON file or SQLite).",[6889,6937,6938,6941],{},[6892,6939,6940],{},"Dynamic Execution:"," The agent dynamically imports or executes these stored functions when similar tasks arise in the future, treating its local database as an extension of its core capabilities.",{"title":40,"searchDepth":41,"depth":41,"links":6943},[6944,6945,6946],{"id":6873,"depth":41,"text":6874},{"id":6880,"depth":41,"text":6881},{"id":6910,"depth":41,"text":6911},[99],{"content_references":6949,"triage":6954},[6950],{"type":64,"title":6951,"publisher":6952,"url":6953,"context":58},"google-genai SDK","Google","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fgenerative-ai-python",{"relevance":71,"novelty":72,"quality":72,"actionability":72,"composite":73,"reasoning":6955},"Category: AI & LLMs. The article provides a detailed approach to building self-evolving AI agents, addressing practical aspects of AI engineering such as local skill databases and procedural memory. It offers a clear implementation strategy that developers can follow, making it actionable for those looking to enhance AI autonomy.","\u002Fsummaries\u002Fedcf116ff44027cb-building-self-evolving-ai-agents-with-local-skill-summary","2026-05-22 15:17:26","2026-05-22 19:00:55",{"title":6863,"description":40},{"loc":6956},"edcf116ff44027cb","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fbuilding-a-self-evolving-ai-agent-with-a-local-skill-database-in-python-31bf8b20f4bc?source=rss----5517fd7b58a6---4","summaries\u002Fedcf116ff44027cb-building-self-evolving-ai-agents-with-local-skill-summary",[89,87,90,88],"Improve agent autonomy and reduce token costs by enabling LLMs to write, store, and execute their own Python tools locally, creating a persistent 'procedural memory' for future tasks.",[],"UYZ8izBzOReifBAtfJO6xEJKwI921FHijZRaAaUjlxc",{"id":6970,"title":6971,"ai":6972,"body":6977,"categories":7034,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7035,"navigation":75,"path":7042,"published_at":7043,"question":48,"scraped_at":7044,"seo":7045,"sitemap":7046,"source_id":7047,"source_name":6853,"source_type":6854,"source_url":7048,"stem":7049,"tags":7050,"thumbnail_url":48,"tldr":7051,"tweet":48,"unknown_tags":7052,"__hash__":7053},"summaries\u002Fsummaries\u002F1ef4593a52e7514f-code-driven-workflows-fix-llm-agent-flaws-summary.md","Code-Driven Workflows Fix LLM Agent Flaws",{"provider":7,"model":6735,"input_tokens":6973,"output_tokens":6974,"processing_time_ms":6975,"cost_usd":6976},4498,1463,13688,0.00160845,{"type":14,"value":6978,"toc":7029},[6979,6983,6990,6993,6997,7012,7019,7022,7026],[17,6980,6982],{"id":6981},"determinism-solves-llm-workflow-reliability-issues","Determinism Solves LLM Workflow Reliability Issues",[22,6984,6985,6986,6989],{},"LLMs excel at tool usage for complex tasks but fail on simple, repetitive ones requiring perfect accuracy. In a Slack channel for PR reviews, an LLM workflow scanned the last 10 messages, extracted single GitHub PR URLs, checked status via GitHub API, and added ",[6750,6987,6988],{},":merged:"," reactions to closed or merged PRs. It worked conceptually but erred by adding reactions to unmerged PRs, causing teams to skip valid reviews. This undermined the goal: quick visual triage without human intervention. Code-driven alternatives ensure 100% accuracy since they execute predefined logic without hallucination risks, making them cheaper and faster for rule-based automation.",[22,6991,6992],{},"Trade-off: Pure LLMs offer flexibility for novel scenarios but introduce non-determinism, eroding trust. Use code when rules are clear and errors costly.",[17,6994,6996],{"id":6995},"hybrid-config-enables-code-or-llm-coordinators","Hybrid Config Enables Code or LLM Coordinators",[22,6998,6999,7000,7003,7004,7007,7008,7011],{},"Orchestrate workflows via a handler that selects configs based on triggers (e.g., Slack events). Default to ",[6750,7001,7002],{},"coordinator: llm"," for prompt + tools + virtual files (like Jira attachments). Add ",[6750,7005,7006],{},"coordinator: script"," with ",[6750,7009,7010],{},"coordinator_script: scripts\u002Fpr_merged.py"," for custom Python.",[22,7013,7014,7015,7018],{},"Scripts access identical inputs—triggers, tools, virtual files—as LLMs, plus the ",[6750,7016,7017],{},"subagent"," tool to invoke LLMs selectively. Engineers write\u002Freview these via PRs, enabling dependencies or logic tweaks. Handler skips LLM orchestration, running code directly until termination.",[22,7020,7021],{},"This preserves LLM power (e.g., subagents with full tools) inside reliable code shells, avoiding excessive tool loops via built-in limits.",[17,7023,7025],{"id":7024},"code-as-progressive-enhancement-boosts-workflow-speed","Code as Progressive Enhancement Boosts Workflow Speed",[22,7027,7028],{},"Start with LLM configs for quick iteration—they handle many cases. Rewrite flaky ones to code using Claude, which converts prompts to scripts in one shot. Result: Code for frequent, error-prone tasks; LLMs for intelligence needs. Even as models improve, narrow LLM use preserves determinism where it matters, forming a robust toolkit for internal agents.",{"title":40,"searchDepth":41,"depth":41,"links":7030},[7031,7032,7033],{"id":6981,"depth":41,"text":6982},{"id":6995,"depth":41,"text":6996},{"id":7024,"depth":41,"text":7025},[99],{"content_references":7036,"triage":7040},[7037],{"type":54,"title":7038,"url":7039,"context":6833},"Slack reactions.add method","https:\u002F\u002Fdocs.slack.dev\u002Freference\u002Fmethods\u002Freactions.add\u002F",{"relevance":71,"novelty":72,"quality":72,"actionability":72,"composite":73,"reasoning":7041},"Category: AI & LLMs. The article provides a detailed analysis of how code-driven workflows can enhance the reliability of LLMs in automation tasks, addressing a specific pain point for developers regarding the limitations of LLMs in deterministic tasks. It offers practical guidance on integrating code with LLMs for improved accuracy, making it actionable for the target audience.","\u002Fsummaries\u002F1ef4593a52e7514f-code-driven-workflows-fix-llm-agent-flaws-summary","2025-12-31 17:30:00","2026-04-14 14:34:28",{"title":6971,"description":40},{"loc":7042},"1ef4593a52e7514f","https:\u002F\u002Flethain.com\u002Fagents-coordinators\u002F","summaries\u002F1ef4593a52e7514f-code-driven-workflows-fix-llm-agent-flaws-summary",[89,87,90,88],"For deterministic tasks like auto-adding Slack reactions to merged PRs, code scripts outperform LLMs by eliminating errors that mislead teams, while still allowing LLM subagents for intelligence.",[],"BQoNeI3tXjovsaL1RXfpmKaxJjcxCK-JspyAOhZaql4",{"id":7055,"title":7056,"ai":7057,"body":7062,"categories":7159,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7160,"navigation":75,"path":7186,"published_at":48,"question":48,"scraped_at":7187,"seo":7188,"sitemap":7189,"source_id":7190,"source_name":6853,"source_type":6854,"source_url":7191,"stem":7192,"tags":7193,"thumbnail_url":48,"tldr":7194,"tweet":48,"unknown_tags":7195,"__hash__":7196},"summaries\u002Fsummaries\u002Fd5c7b26fc3a6353b-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary.md","Qwen3-Coder-Next: Coding LLM for Agents with Tool Calling",{"provider":7,"model":6735,"input_tokens":7058,"output_tokens":7059,"processing_time_ms":7060,"cost_usd":7061},5328,1737,10140,0.00191145,{"type":14,"value":7063,"toc":7154},[7064,7068,7087,7090,7094,7125,7129],[17,7065,7067],{"id":7066},"core-features-and-quick-inference","Core Features and Quick Inference",[22,7069,7070,7071,7074,7075,7078,7079,7082,7083,7086],{},"Qwen3-Coder-Next runs in non-thinking mode without generating ",[6750,7072,7073],{},"\u003Cthink>\u003C\u002Fthink>"," blocks, simplifying outputs for coding tasks. Load it via ",[6750,7076,7077],{},"transformers"," (latest version) with ",[6750,7080,7081],{},"torch_dtype=\"auto\""," and ",[6750,7084,7085],{},"device_map=\"auto\""," for automatic hardware placement. Use chat template for prompts like \"Write a quick sort algorithm,\" generating up to 65,536 new tokens. To avoid OOM errors, cap context at 32,768 tokens. Local apps like Ollama, LMStudio, MLX-LM, llama.cpp, and KTransformers support it out-of-the-box, enabling fast prototyping without cloud dependency.",[22,7088,7089],{},"Benchmarks (via images) show top performance on coding evals like SWE-Bench Verified, positioning it for agentic coding over general models.",[17,7091,7093],{"id":7092},"efficient-deployment-for-production","Efficient Deployment for Production",[22,7095,7096,7097,7100,7101,7104,7105,7108,7109,7115,7116,7119,7120,7124],{},"Serve with OpenAI-compatible APIs using SGLang (>=v0.5.8, ",[6750,7098,7099],{},"pip install 'sglang[app]>=v0.5.8'",") or vLLM (>=0.15.0, ",[6750,7102,7103],{},"pip install 'vllm>=0.15.0'","). For SGLang: ",[6750,7106,7107],{},"python -m sglang.launch_server --model Qwen\u002FQwen3-Coder-Next --port 30000 --tp-size 2 --tool-call-parser qwen3_coder"," starts at ",[7110,7111,7112],"a",{"href":7112,"rel":7113},"http:\u002F\u002Flocalhost:30000\u002Fv1",[7114],"nofollow"," with 256K context on 2 GPUs (tensor parallel). vLLM: ",[6750,7117,7118],{},"vllm serve Qwen\u002FQwen3-Coder-Next --port 8000 --tensor-parallel-size 2 --enable-auto-tool-choice --tool-call-parser qwen3_coder"," at ",[7110,7121,7122],{"href":7122,"rel":7123},"http:\u002F\u002Flocalhost:8000\u002Fv1",[7114],". Reduce to 32,768 context if startup fails due to memory limits, trading length for reliability on smaller hardware.",[17,7126,7128],{"id":7127},"agentic-workflows-and-optimization","Agentic Workflows and Optimization",[22,7130,7131,7132,7135,7136,7139,7140,7143,7144,6807,7147,6807,7150,7153],{},"Define JSON tools (e.g., ",[6750,7133,7134],{},"square_the_number"," function taking ",[6750,7137,7138],{},"input_num: number",") and call via OpenAI client against local endpoint: ",[6750,7141,7142],{},"client.chat.completions.create(..., tools=tools)",". Model handles function calling natively without thinking tokens. For best results, sample at ",[6750,7145,7146],{},"temperature=1.0",[6750,7148,7149],{},"top_p=0.95",[6750,7151,7152],{},"top_k=40"," to balance creativity and focus in code generation. Full details in linked blog, GitHub, and docs; cite the Qwen3-Coder-Next tech report for production use.",{"title":40,"searchDepth":41,"depth":41,"links":7155},[7156,7157,7158],{"id":7066,"depth":41,"text":7067},{"id":7092,"depth":41,"text":7093},{"id":7127,"depth":41,"text":7128},[],{"content_references":7161,"triage":7183},[7162,7168,7171,7174,7177,7180],{"type":7163,"title":7164,"author":7165,"url":7166,"context":7167},"report","Qwen3-Coder-Next Technical Report","Qwen Team","https:\u002F\u002Fgithub.com\u002FQwenLM\u002FQwen3-Coder\u002Fblob\u002Fmain\u002Fqwen3_coder_next_tech_report.pdf","cited",{"type":54,"title":7169,"url":7170,"context":6833},"Qwen3-Coder-Next blog","https:\u002F\u002Fqwen.ai\u002Fblog?id=qwen3-coder-next",{"type":54,"title":7172,"url":7173,"context":6833},"Qwen3-Coder GitHub","https:\u002F\u002Fgithub.com\u002FQwenLM\u002FQwen3-Coder",{"type":54,"title":7175,"url":7176,"context":6833},"Qwen Documentation","https:\u002F\u002Fqwen.readthedocs.io\u002Fen\u002Flatest\u002F",{"type":64,"title":7178,"url":7179,"context":58},"SGLang","https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang",{"type":64,"title":7181,"url":7182,"context":58},"vLLM","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm",{"relevance":71,"novelty":72,"quality":72,"actionability":71,"composite":7184,"reasoning":7185},4.55,"Category: AI & LLMs. The article provides in-depth technical details about the Qwen3-Coder-Next model, including its deployment and usage for coding agents, which directly addresses the needs of developers looking to integrate AI into their products. It offers actionable steps for deployment and optimization, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002Fd5c7b26fc3a6353b-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary","2026-04-15 15:35:14",{"title":7056,"description":40},{"loc":7186},"d5c7b26fc3a6353b","https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen3-Coder-Next","summaries\u002Fd5c7b26fc3a6353b-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary",[89,87,90],"Qwen3-Coder-Next is an open-weight model optimized for coding agents, featuring non-thinking mode, 256K context, strong benchmarks, and easy deployment via transformers, SGLang, or vLLM for local dev and tool use.",[],"-Kmf7Ahy-Hq9bPYNqqWxKfn6saDo7KGeACSG7NKydSg"]