[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-38af2302d6319c57-integrating-ai-agents-into-event-sourced-systems-summary":3,"summaries-facets-categories":132,"summary-related-38af2302d6319c57-integrating-ai-agents-into-event-sourced-systems-summary":6078},{"id":4,"title":5,"ai":6,"body":13,"categories":95,"created_at":97,"date_modified":97,"description":89,"extension":98,"faq":97,"featured":99,"kicker_label":97,"meta":100,"navigation":111,"path":112,"published_at":113,"question":97,"scraped_at":114,"seo":115,"sitemap":116,"source_id":117,"source_name":118,"source_type":119,"source_url":120,"stem":121,"tags":122,"thumbnail_url":127,"tldr":128,"tweet":129,"unknown_tags":130,"__hash__":131},"summaries\u002Fsummaries\u002F38af2302d6319c57-integrating-ai-agents-into-event-sourced-systems-summary.md","Integrating AI Agents into Event-Sourced Systems",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7600,616,3553,0.002824,{"type":14,"value":15,"toc":88},"minimark",[16,21,25,29,32,55,59,62],[17,18,20],"h2",{"id":19},"the-gray-zone-problem","The Gray Zone Problem",[22,23,24],"p",{},"Traditional fraud detection relies on rule-based engines and ML models. While these handle clear-cut cases effectively, they fail in the \"gray zone\"—ambiguous transactions where neither system can reach a confident verdict. Instead of replacing these existing systems, you can layer an agentic AI tier on top to handle these edge cases, leveraging the rich history already present in your event-sourced architecture.",[17,26,28],{"id":27},"architecting-for-agentic-context","Architecting for Agentic Context",[22,30,31],{},"To make agents effective, they require access to data across disparate bounded contexts (e.g., transaction, device, account, payment).",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Semantic Layer:"," Use Change Data Capture (CDC) or message brokers to propagate domain events into a materialized view or \"semantic layer.\" This layer denormalizes data from various contexts into a format the agents can query.",[36,44,45,48],{},[39,46,47],{},"Event-Sourced Foundation:"," Because the system is event-sourced, the state is not mutated but appended. This provides the agent with a complete, immutable history of business facts, which is critical for reasoning about complex fraud patterns.",[36,50,51,54],{},[39,52,53],{},"Saga Orchestration:"," Integrate the agentic tier within a saga-style loop. The orchestrator receives events, triggers the agents, and emits a final verdict event back to the message broker to continue the business workflow.",[17,56,58],{"id":57},"agentic-execution-and-guardrails","Agentic Execution and Guardrails",[22,60,61],{},"When implementing the agentic tier, prioritize performance and reliability:",[33,63,64,70,76,82],{},[36,65,66,69],{},[39,67,68],{},"Fan-Out Pattern:"," Use multiple specialized agents (e.g., a Risk Analyzer and a Behavior Analyst) to evaluate the transaction from different perspectives. A third \"Verdict Agent\" then synthesizes these responses to reach a final consensus.",[36,71,72,75],{},[39,73,74],{},"Short-Term Memory:"," Given the need for sub-500ms latency, rely on in-memory storage for agent state rather than long-term memory.",[36,77,78,81],{},[39,79,80],{},"Loop Control:"," Agents are non-deterministic, which risks infinite loops. Implement strict metrics and thresholds to force the agent to break out of its reasoning loop, ensuring the system remains responsive and predictable.",[36,83,84,87],{},[39,85,86],{},"Tooling:"," Equip agents with specific tools to query the semantic layer and execute business logic, effectively migrating static rules into dynamic, context-aware agentic tools.",{"title":89,"searchDepth":90,"depth":90,"links":91},"",2,[92,93,94],{"id":19,"depth":90,"text":20},{"id":27,"depth":90,"text":28},{"id":57,"depth":90,"text":58},[96],"AI Automation",null,"md",false,{"content_references":101,"triage":106},[102],{"type":103,"title":104,"context":105},"other","Cosmos DB","mentioned",{"relevance":107,"novelty":108,"quality":108,"actionability":108,"composite":109,"reasoning":110},5,4,4.35,"Category: AI & LLMs. The article provides a detailed approach to integrating AI agents into event-sourced systems, addressing a specific pain point in fraud detection by leveraging existing architectures. It offers actionable insights on creating a semantic layer and orchestrating agents, which can be directly applied by developers looking to enhance their systems.",true,"\u002Fsummaries\u002F38af2302d6319c57-integrating-ai-agents-into-event-sourced-systems-summary","2026-07-30 00:00:06","2026-07-30 03:13:04",{"title":5,"description":89},{"loc":112},"38af2302d6319c57","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=o6U_2vd967Y","summaries\u002F38af2302d6319c57-integrating-ai-agents-into-event-sourced-systems-summary",[123,124,125,126],"ai-agents","event-sourcing","fraud-detection","architecture","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fo6U_2vd967Y\u002Fhqdefault.jpg","Improve fraud detection by layering agentic AI onto existing event-sourced architectures, using a semantic layer to provide agents with the necessary context to resolve ambiguous transactions.","This talk explains how to layer AI agents onto an existing event-sourced architecture to resolve ambiguous \"gray zone\" transactions that traditional rule-based or ML systems fail to classify. The speaker demonstrates using change feeds and a semantic projection layer to provide agents with the necessary context from disparate bounded contexts without re-architecting the core system.",[123,124,125,126],"EsPkqPqmidzwGX__Ky8OUqrzllP4pgEXP1xRRZfFETw",[133,136,139,142,144,146,149,151,153,155,158,160,162,164,166,169,171,173,175,177,180,182,184,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,221,224,226,228,230,232,234,236,238,240,242,244,246,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,284,286,288,290,292,294,296,298,300,302,304,306,308,310,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,372,374,376,378,380,382,384,386,388,390,393,395,397,399,401,403,405,407,409,411,413,415,417,420,422,424,426,428,430,432,434,436,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,490,492,494,497,499,501,503,505,507,509,511,513,515,517,519,521,523,526,528,530,532,534,536,538,540,542,544,546,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,796,798,800,802,804,807,809,811,813,815,817,819,821,823,825,827,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076],{"categories":134},[135],"AI & LLMs",{"categories":137},[138],"Developer Productivity",{"categories":140},[141],"Business & SaaS",{"categories":143},[135],{"categories":145},[96],{"categories":147},[148],"Product Strategy",{"categories":150},[135],{"categories":152},[138],{"categories":154},[96],{"categories":156},[157],"Software Engineering",{"categories":159},[135],{"categories":161},[141],{"categories":163},[],{"categories":165},[135],{"categories":167},[168],"Inference & Serving",{"categories":170},[135],{"categories":172},[135],{"categories":174},[96],{"categories":176},[],{"categories":178},[179],"AI News & Trends",{"categories":181},[96],{"categories":183},[135],{"categories":185},[141],{"categories":187},[138],{"categories":189},[135],{"categories":191},[96],{"categories":193},[179],{"categories":195},[96],{"categories":197},[96],{"categories":199},[135],{"categories":201},[96],{"categories":203},[135],{"categories":205},[135],{"categories":207},[135],{"categories":209},[179],{"categories":211},[135],{"categories":213},[135],{"categories":215},[135],{"categories":217},[],{"categories":219},[220],"Design & Frontend",{"categories":222},[223],"Data Science & Visualization",{"categories":225},[179],{"categories":227},[135],{"categories":229},[135],{"categories":231},[135],{"categories":233},[],{"categories":235},[135],{"categories":237},[96],{"categories":239},[157],{"categories":241},[135],{"categories":243},[96],{"categories":245},[135],{"categories":247},[248],"Marketing & Growth",{"categories":250},[220],{"categories":252},[135],{"categories":254},[96],{"categories":256},[135],{"categories":258},[157],{"categories":260},[],{"categories":262},[],{"categories":264},[220],{"categories":266},[135],{"categories":268},[96],{"categories":270},[138],{"categories":272},[157],{"categories":274},[220],{"categories":276},[148],{"categories":278},[135],{"categories":280},[157],{"categories":282},[283],"DevOps & Cloud",{"categories":285},[96],{"categories":287},[148],{"categories":289},[179],{"categories":291},[135],{"categories":293},[],{"categories":295},[135],{"categories":297},[135],{"categories":299},[],{"categories":301},[96],{"categories":303},[157],{"categories":305},[],{"categories":307},[157],{"categories":309},[135],{"categories":311},[312],"Governance & Standards",{"categories":314},[141],{"categories":316},[],{"categories":318},[],{"categories":320},[135],{"categories":322},[135],{"categories":324},[96],{"categories":326},[135],{"categories":328},[135],{"categories":330},[96],{"categories":332},[135],{"categories":334},[135],{"categories":336},[135],{"categories":338},[],{"categories":340},[157],{"categories":342},[],{"categories":344},[],{"categories":346},[157],{"categories":348},[],{"categories":350},[157],{"categories":352},[135],{"categories":354},[135],{"categories":356},[248],{"categories":358},[135],{"categories":360},[220],{"categories":362},[220],{"categories":364},[135],{"categories":366},[157],{"categories":368},[96],{"categories":370},[371],"GovTech & Public-Sector Adoption",{"categories":373},[157],{"categories":375},[135],{"categories":377},[135],{"categories":379},[96],{"categories":381},[96],{"categories":383},[223],{"categories":385},[135],{"categories":387},[179],{"categories":389},[96],{"categories":391},[392],"Legal AI Tools",{"categories":394},[96],{"categories":396},[248],{"categories":398},[96],{"categories":400},[148],{"categories":402},[157],{"categories":404},[371],{"categories":406},[],{"categories":408},[96],{"categories":410},[],{"categories":412},[141],{"categories":414},[96],{"categories":416},[96],{"categories":418},[419],"RAG & Retrieval",{"categories":421},[141],{"categories":423},[135],{"categories":425},[157],{"categories":427},[157],{"categories":429},[283],{"categories":431},[220],{"categories":433},[135],{"categories":435},[],{"categories":437},[438],"Agents & Orchestration",{"categories":440},[157],{"categories":442},[135],{"categories":444},[],{"categories":446},[96],{"categories":448},[141],{"categories":450},[],{"categories":452},[135],{"categories":454},[],{"categories":456},[138],{"categories":458},[157],{"categories":460},[141],{"categories":462},[135],{"categories":464},[135],{"categories":466},[179],{"categories":468},[135],{"categories":470},[],{"categories":472},[135],{"categories":474},[],{"categories":476},[157],{"categories":478},[135],{"categories":480},[223],{"categories":482},[],{"categories":484},[135],{"categories":486},[220],{"categories":488},[489],"Models & Frontier Labs",{"categories":491},[],{"categories":493},[220],{"categories":495},[496],"Regulation & Governance of AI",{"categories":498},[96],{"categories":500},[],{"categories":502},[135],{"categories":504},[135],{"categories":506},[96],{"categories":508},[179],{"categories":510},[141],{"categories":512},[135],{"categories":514},[],{"categories":516},[157],{"categories":518},[96],{"categories":520},[135],{"categories":522},[148],{"categories":524},[525],"AI Policy & Regulation",{"categories":527},[],{"categories":529},[135],{"categories":531},[148],{"categories":533},[96],{"categories":535},[135],{"categories":537},[135],{"categories":539},[135],{"categories":541},[96],{"categories":543},[],{"categories":545},[223],{"categories":547},[548],"Evals & Reliability",{"categories":550},[135],{"categories":552},[],{"categories":554},[138],{"categories":556},[371],{"categories":558},[525],{"categories":560},[135],{"categories":562},[141],{"categories":564},[135],{"categories":566},[96],{"categories":568},[135],{"categories":570},[96],{"categories":572},[438],{"categories":574},[135],{"categories":576},[157],{"categories":578},[135],{"categories":580},[],{"categories":582},[],{"categories":584},[135],{"categories":586},[371],{"categories":588},[135],{"categories":590},[135],{"categories":592},[],{"categories":594},[220],{"categories":596},[],{"categories":598},[135],{"categories":600},[],{"categories":602},[96],{"categories":604},[135],{"categories":606},[220],{"categories":608},[],{"categories":610},[135],{"categories":612},[96],{"categories":614},[135],{"categories":616},[141],{"categories":618},[96],{"categories":620},[135],{"categories":622},[135],{"categories":624},[157],{"categories":626},[220],{"categories":628},[96],{"categories":630},[],{"categories":632},[157],{"categories":634},[96],{"categories":636},[223],{"categories":638},[],{"categories":640},[179],{"categories":642},[],{"categories":644},[135],{"categories":646},[135],{"categories":648},[135],{"categories":650},[141,248],{"categories":652},[],{"categories":654},[135],{"categories":656},[135],{"categories":658},[96],{"categories":660},[],{"categories":662},[],{"categories":664},[135],{"categories":666},[220],{"categories":668},[135],{"categories":670},[],{"categories":672},[135],{"categories":674},[283],{"categories":676},[],{"categories":678},[96],{"categories":680},[179],{"categories":682},[135],{"categories":684},[220],{"categories":686},[],{"categories":688},[179],{"categories":690},[135],{"categories":692},[168],{"categories":694},[135],{"categories":696},[96],{"categories":698},[179],{"categories":700},[489],{"categories":702},[135],{"categories":704},[248],{"categories":706},[],{"categories":708},[96],{"categories":710},[141],{"categories":712},[157],{"categories":714},[135],{"categories":716},[96],{"categories":718},[],{"categories":720},[135,283],{"categories":722},[135],{"categories":724},[135],{"categories":726},[135],{"categories":728},[96],{"categories":730},[135,157],{"categories":732},[223],{"categories":734},[135],{"categories":736},[135],{"categories":738},[157],{"categories":740},[96],{"categories":742},[525],{"categories":744},[248],{"categories":746},[135],{"categories":748},[96],{"categories":750},[135],{"categories":752},[135],{"categories":754},[96],{"categories":756},[],{"categories":758},[96],{"categories":760},[135],{"categories":762},[135],{"categories":764},[96],{"categories":766},[135],{"categories":768},[135,141],{"categories":770},[141],{"categories":772},[],{"categories":774},[220],{"categories":776},[220],{"categories":778},[135],{"categories":780},[],{"categories":782},[],{"categories":784},[179],{"categories":786},[],{"categories":788},[138],{"categories":790},[135],{"categories":792},[157],{"categories":794},[795],"Generative UI & Design-to-Code",{"categories":797},[135],{"categories":799},[135],{"categories":801},[220],{"categories":803},[135],{"categories":805},[806],"Algorithmic Accountability",{"categories":808},[96],{"categories":810},[157],{"categories":812},[179],{"categories":814},[220],{"categories":816},[],{"categories":818},[148],{"categories":820},[135],{"categories":822},[135],{"categories":824},[135],{"categories":826},[96],{"categories":828},[829],"MLOps & Infrastructure",{"categories":831},[135],{"categories":833},[135],{"categories":835},[135],{"categories":837},[135],{"categories":839},[135],{"categories":841},[179],{"categories":843},[138],{"categories":845},[135],{"categories":847},[96],{"categories":849},[283],{"categories":851},[135],{"categories":853},[141],{"categories":855},[135],{"categories":857},[220],{"categories":859},[135],{"categories":861},[135],{"categories":863},[96],{"categories":865},[],{"categories":867},[],{"categories":869},[168],{"categories":871},[220],{"categories":873},[179],{"categories":875},[223],{"categories":877},[],{"categories":879},[135],{"categories":881},[135],{"categories":883},[141],{"categories":885},[96],{"categories":887},[135],{"categories":889},[135],{"categories":891},[135],{"categories":893},[179],{"categories":895},[168],{"categories":897},[135],{"categories":899},[220],{"categories":901},[],{"categories":903},[96],{"categories":905},[157],{"categories":907},[],{"categories":909},[135],{"categories":911},[135],{"categories":913},[96],{"categories":915},[157],{"categories":917},[135],{"categories":919},[223],{"categories":921},[],{"categories":923},[135],{"categories":925},[],{"categories":927},[135],{"categories":929},[],{"categories":931},[148],{"categories":933},[141],{"categories":935},[96],{"categories":937},[96],{"categories":939},[],{"categories":941},[138],{"categories":943},[135],{"categories":945},[135],{"categories":947},[141],{"categories":949},[179],{"categories":951},[138],{"categories":953},[],{"categories":955},[135],{"categories":957},[],{"categories":959},[],{"categories":961},[179],{"categories":963},[179],{"categories":965},[],{"categories":967},[438],{"categories":969},[135],{"categories":971},[220],{"categories":973},[157],{"categories":975},[],{"categories":977},[392],{"categories":979},[141],{"categories":981},[],{"categories":983},[],{"categories":985},[138],{"categories":987},[223],{"categories":989},[],{"categories":991},[248],{"categories":993},[96],{"categories":995},[141],{"categories":997},[96],{"categories":999},[141],{"categories":1001},[157],{"categories":1003},[],{"categories":1005},[168],{"categories":1007},[148],{"categories":1009},[135],{"categories":1011},[220],{"categories":1013},[157],{"categories":1015},[141],{"categories":1017},[135],{"categories":1019},[96],{"categories":1021},[141],{"categories":1023},[135],{"categories":1025},[135],{"categories":1027},[135],{"categories":1029},[135],{"categories":1031},[],{"categories":1033},[],{"categories":1035},[157],{"categories":1037},[223],{"categories":1039},[148],{"categories":1041},[135],{"categories":1043},[96],{"categories":1045},[135],{"categories":1047},[],{"categories":1049},[179],{"categories":1051},[148],{"categories":1053},[135],{"categories":1055},[548],{"categories":1057},[283],{"categories":1059},[],{"categories":1061},[96],{"categories":1063},[],{"categories":1065},[138],{"categories":1067},[],{"categories":1069},[135],{"categories":1071},[135],{"categories":1073},[220],{"categories":1075},[248],{"categories":1077},[157],{"categories":1079},[96],{"categories":1081},[],{"categories":1083},[157],{"categories":1085},[135],{"categories":1087},[138],{"categories":1089},[],{"categories":1091},[141],{"categories":1093},[135],{"categories":1095},[179],{"categories":1097},[135,283],{"categories":1099},[1100],"Design Systems for AI",{"categories":1102},[135],{"categories":1104},[135],{"categories":1106},[179],{"categories":1108},[135],{"categories":1110},[135],{"categories":1112},[141],{"categories":1114},[135],{"categories":1116},[135],{"categories":1118},[],{"categories":1120},[135],{"categories":1122},[135],{"categories":1124},[141],{"categories":1126},[135],{"categories":1128},[],{"categories":1130},[96],{"categories":1132},[157],{"categories":1134},[179],{"categories":1136},[157],{"categories":1138},[220],{"categories":1140},[179],{"categories":1142},[223],{"categories":1144},[135],{"categories":1146},[138],{"categories":1148},[525],{"categories":1150},[135],{"categories":1152},[96],{"categories":1154},[135],{"categories":1156},[157],{"categories":1158},[157],{"categories":1160},[],{"categories":1162},[],{"categories":1164},[96],{"categories":1166},[148],{"categories":1168},[],{"categories":1170},[135],{"categories":1172},[],{"categories":1174},[220],{"categories":1176},[96],{"categories":1178},[157],{"categories":1180},[220],{"categories":1182},[135],{"categories":1184},[135],{"categories":1186},[220],{"categories":1188},[],{"categories":1190},[],{"categories":1192},[179],{"categories":1194},[96],{"categories":1196},[96],{"categories":1198},[135],{"categories":1200},[135],{"categories":1202},[135],{"categories":1204},[141],{"categories":1206},[135],{"categories":1208},[135],{"categories":1210},[],{"categories":1212},[157],{"categories":1214},[157],{"categories":1216},[135],{"categories":1218},[157],{"categories":1220},[141],{"categories":1222},[],{"categories":1224},[135],{"categories":1226},[135],{"categories":1228},[135],{"categories":1230},[135],{"categories":1232},[96],{"categories":1234},[138],{"categories":1236},[141],{"categories":1238},[135],{"categories":1240},[179],{"categories":1242},[96],{"categories":1244},[168],{"categories":1246},[248],{"categories":1248},[135],{"categories":1250},[96],{"categories":1252},[135],{"categories":1254},[],{"categories":1256},[220],{"categories":1258},[],{"categories":1260},[135],{"categories":1262},[135],{"categories":1264},[],{"categories":1266},[157],{"categories":1268},[141],{"categories":1270},[1271],"Visual & Generative Media",{"categories":1273},[96],{"categories":1275},[],{"categories":1277},[135],{"categories":1279},[135],{"categories":1281},[157],{"categories":1283},[283],{"categories":1285},[223],{"categories":1287},[525],{"categories":1289},[157],{"categories":1291},[248],{"categories":1293},[135],{"categories":1295},[220],{"categories":1297},[135],{"categories":1299},[135],{"categories":1301},[157],{"categories":1303},[96],{"categories":1305},[135],{"categories":1307},[],{"categories":1309},[],{"categories":1311},[96],{"categories":1313},[157],{"categories":1315},[138],{"categories":1317},[96],{"categories":1319},[489],{"categories":1321},[135],{"categories":1323},[148],{"categories":1325},[135],{"categories":1327},[141],{"categories":1329},[],{"categories":1331},[135],{"categories":1333},[148],{"categories":1335},[135],{"categories":1337},[135],{"categories":1339},[135],{"categories":1341},[148],{"categories":1343},[135],{"categories":1345},[135],{"categories":1347},[248],{"categories":1349},[135],{"categories":1351},[438],{"categories":1353},[135],{"categories":1355},[96],{"categories":1357},[135],{"categories":1359},[135],{"categories":1361},[135],{"categories":1363},[135],{"categories":1365},[220],{"categories":1367},[96],{"categories":1369},[],{"categories":1371},[96],{"categories":1373},[],{"categories":1375},[283],{"categories":1377},[157],{"categories":1379},[],{"categories":1381},[489],{"categories":1383},[135],{"categories":1385},[96],{"categories":1387},[135],{"categories":1389},[220,135],{"categories":1391},[138],{"categories":1393},[],{"categories":1395},[135],{"categories":1397},[138],{"categories":1399},[1400],"Medical Imaging & Radiology",{"categories":1402},[220],{"categories":1404},[96],{"categories":1406},[157],{"categories":1408},[],{"categories":1410},[135],{"categories":1412},[135],{"categories":1414},[135],{"categories":1416},[],{"categories":1418},[],{"categories":1420},[135],{"categories":1422},[438],{"categories":1424},[135],{"categories":1426},[138],{"categories":1428},[135],{"categories":1430},[135],{"categories":1432},[],{"categories":1434},[96],{"categories":1436},[135],{"categories":1438},[148],{"categories":1440},[157],{"categories":1442},[135],{"categories":1444},[438],{"categories":1446},[135],{"categories":1448},[96],{"categories":1450},[135],{"categories":1452},[220],{"categories":1454},[96],{"categories":1456},[283],{"categories":1458},[220],{"categories":1460},[141],{"categories":1462},[96],{"categories":1464},[135],{"categories":1466},[135],{"categories":1468},[148],{"categories":1470},[135],{"categories":1472},[135],{"categories":1474},[135],{"categories":1476},[96],{"categories":1478},[157],{"categories":1480},[135],{"categories":1482},[148],{"categories":1484},[],{"categories":1486},[179],{"categories":1488},[],{"categories":1490},[148],{"categories":1492},[96],{"categories":1494},[96],{"categories":1496},[1100],{"categories":1498},[1100],{"categories":1500},[220],{"categories":1502},[135],{"categories":1504},[135],{"categories":1506},[96],{"categories":1508},[157],{"categories":1510},[220],{"categories":1512},[96],{"categories":1514},[179],{"categories":1516},[],{"categories":1518},[135],{"categories":1520},[],{"categories":1522},[135],{"categories":1524},[135],{"categories":1526},[135],{"categories":1528},[96],{"categories":1530},[1531],"Contract Review & E-Discovery",{"categories":1533},[220],{"categories":1535},[135],{"categories":1537},[138],{"categories":1539},[179],{"categories":1541},[135],{"categories":1543},[135],{"categories":1545},[248],{"categories":1547},[157],{"categories":1549},[135],{"categories":1551},[135],{"categories":1553},[96],{"categories":1555},[96],{"categories":1557},[806],{"categories":1559},[135],{"categories":1561},[96],{"categories":1563},[96],{"categories":1565},[135],{"categories":1567},[135],{"categories":1569},[96],{"categories":1571},[135],{"categories":1573},[438],{"categories":1575},[419],{"categories":1577},[135],{"categories":1579},[96],{"categories":1581},[135],{"categories":1583},[1584],"Law-Firm Practice & Adoption",{"categories":1586},[135],{"categories":1588},[96],{"categories":1590},[220],{"categories":1592},[135],{"categories":1594},[135],{"categories":1596},[],{"categories":1598},[],{"categories":1600},[157],{"categories":1602},[],{"categories":1604},[96],{"categories":1606},[138],{"categories":1608},[283],{"categories":1610},[135],{"categories":1612},[],{"categories":1614},[138],{"categories":1616},[141],{"categories":1618},[135],{"categories":1620},[248],{"categories":1622},[],{"categories":1624},[141],{"categories":1626},[141],{"categories":1628},[],{"categories":1630},[135],{"categories":1632},[135],{"categories":1634},[157],{"categories":1636},[],{"categories":1638},[],{"categories":1640},[],{"categories":1642},[],{"categories":1644},[135],{"categories":1646},[96],{"categories":1648},[283],{"categories":1650},[135],{"categories":1652},[138],{"categories":1654},[157],{"categories":1656},[135],{"categories":1658},[135],{"categories":1660},[157],{"categories":1662},[148],{"categories":1664},[135],{"categories":1666},[829],{"categories":1668},[135],{"categories":1670},[248],{"categories":1672},[157],{"categories":1674},[141],{"categories":1676},[135],{"categories":1678},[135],{"categories":1680},[220],{"categories":1682},[135],{"categories":1684},[135],{"categories":1686},[135],{"categories":1688},[96],{"categories":1690},[135,138],{"categories":1692},[438],{"categories":1694},[135],{"categories":1696},[135],{"categories":1698},[157],{"categories":1700},[157],{"categories":1702},[220],{"categories":1704},[96],{"categories":1706},[157],{"categories":1708},[135],{"categories":1710},[135],{"categories":1712},[],{"categories":1714},[],{"categories":1716},[135],{"categories":1718},[],{"categories":1720},[135],{"categories":1722},[157],{"categories":1724},[223],{"categories":1726},[179],{"categories":1728},[220],{"categories":1730},[135],{"categories":1732},[135],{"categories":1734},[157],{"categories":1736},[],{"categories":1738},[96],{"categories":1740},[135],{"categories":1742},[135],{"categories":1744},[135],{"categories":1746},[135],{"categories":1748},[],{"categories":1750},[96],{"categories":1752},[135],{"categories":1754},[135],{"categories":1756},[],{"categories":1758},[96],{"categories":1760},[135],{"categories":1762},[135],{"categories":1764},[141],{"categories":1766},[135],{"categories":1768},[],{"categories":1770},[138],{"categories":1772},[135],{"categories":1774},[135],{"categories":1776},[220],{"categories":1778},[157],{"categories":1780},[135],{"categories":1782},[138],{"categories":1784},[135],{"categories":1786},[157],{"categories":1788},[248],{"categories":1790},[96],{"categories":1792},[96],{"categories":1794},[135,220],{"categories":1796},[135],{"categories":1798},[179],{"categories":1800},[135],{"categories":1802},[179],{"categories":1804},[96],{"categories":1806},[220],{"categories":1808},[],{"categories":1810},[157],{"categories":1812},[283],{"categories":1814},[220],{"categories":1816},[157],{"categories":1818},[135],{"categories":1820},[148],{"categories":1822},[135],{"categories":1824},[96],{"categories":1826},[],{"categories":1828},[],{"categories":1830},[135],{"categories":1832},[],{"categories":1834},[],{"categories":1836},[148],{"categories":1838},[157],{"categories":1840},[135],{"categories":1842},[96],{"categories":1844},[96],{"categories":1846},[141],{"categories":1848},[96],{"categories":1850},[283],{"categories":1852},[135],{"categories":1854},[135],{"categories":1856},[168],{"categories":1858},[135],{"categories":1860},[135],{"categories":1862},[96],{"categories":1864},[135],{"categories":1866},[135],{"categories":1868},[392],{"categories":1870},[806],{"categories":1872},[],{"categories":1874},[220],{"categories":1876},[1584],{"categories":1878},[157],{"categories":1880},[],{"categories":1882},[],{"categories":1884},[96],{"categories":1886},[],{"categories":1888},[],{"categories":1890},[248],{"categories":1892},[135],{"categories":1894},[248],{"categories":1896},[96],{"categories":1898},[135],{"categories":1900},[157],{"categories":1902},[148],{"categories":1904},[],{"categories":1906},[135],{"categories":1908},[135],{"categories":1910},[157],{"categories":1912},[1531],{"categories":1914},[220],{"categories":1916},[220],{"categories":1918},[135],{"categories":1920},[96],{"categories":1922},[138],{"categories":1924},[135],{"categories":1926},[135],{"categories":1928},[135],{"categories":1930},[220],{"categories":1932},[220],{"categories":1934},[96],{"categories":1936},[96],{"categories":1938},[135],{"categories":1940},[135],{"categories":1942},[],{"categories":1944},[135],{"categories":1946},[],{"categories":1948},[1949],"Interaction & Product Design",{"categories":1951},[135],{"categories":1953},[96],{"categories":1955},[312],{"categories":1957},[179],{"categories":1959},[157],{"categories":1961},[135],{"categories":1963},[135],{"categories":1965},[157],{"categories":1967},[138],{"categories":1969},[96],{"categories":1971},[135],{"categories":1973},[],{"categories":1975},[96],{"categories":1977},[96],{"categories":1979},[],{"categories":1981},[157],{"categories":1983},[135],{"categories":1985},[138],{"categories":1987},[1949],{"categories":1989},[135],{"categories":1991},[138],{"categories":1993},[138],{"categories":1995},[],{"categories":1997},[157],{"categories":1999},[],{"categories":2001},[96],{"categories":2003},[179],{"categories":2005},[135],{"categories":2007},[96],{"categories":2009},[135],{"categories":2011},[96],{"categories":2013},[135],{"categories":2015},[135],{"categories":2017},[179],{"categories":2019},[223],{"categories":2021},[135],{"categories":2023},[148],{"categories":2025},[157],{"categories":2027},[2028],"Coding Agents & Dev Productivity",{"categories":2030},[179],{"categories":2032},[220],{"categories":2034},[135],{"categories":2036},[],{"categories":2038},[135],{"categories":2040},[806],{"categories":2042},[],{"categories":2044},[135],{"categories":2046},[283],{"categories":2048},[135],{"categories":2050},[179],{"categories":2052},[],{"categories":2054},[],{"categories":2056},[135],{"categories":2058},[],{"categories":2060},[96],{"categories":2062},[135],{"categories":2064},[],{"categories":2066},[157],{"categories":2068},[157],{"categories":2070},[135],{"categories":2072},[223],{"categories":2074},[],{"categories":2076},[135],{"categories":2078},[135],{"categories":2080},[135],{"categories":2082},[223],{"categories":2084},[157],{"categories":2086},[],{"categories":2088},[],{"categories":2090},[135],{"categories":2092},[135],{"categories":2094},[96],{"categories":2096},[96],{"categories":2098},[371],{"categories":2100},[157],{"categories":2102},[157],{"categories":2104},[96],{"categories":2106},[179],{"categories":2108},[179],{"categories":2110},[96],{"categories":2112},[96],{"categories":2114},[135],{"categories":2116},[138],{"categories":2118},[1949],{"categories":2120},[135,283],{"categories":2122},[223],{"categories":2124},[],{"categories":2126},[220],{"categories":2128},[157],{"categories":2130},[138],{"categories":2132},[135],{"categories":2134},[96],{"categories":2136},[2137],"The Designer's Role & Craft",{"categories":2139},[220],{"categories":2141},[],{"categories":2143},[96],{"categories":2145},[135],{"categories":2147},[96],{"categories":2149},[96],{"categories":2151},[135],{"categories":2153},[248],{"categories":2155},[135],{"categories":2157},[157],{"categories":2159},[220],{"categories":2161},[135],{"categories":2163},[],{"categories":2165},[96],{"categories":2167},[220],{"categories":2169},[135],{"categories":2171},[135],{"categories":2173},[2174],"AI UX Patterns",{"categories":2176},[96],{"categories":2178},[96],{"categories":2180},[96],{"categories":2182},[96],{"categories":2184},[248],{"categories":2186},[223],{"categories":2188},[135],{"categories":2190},[96],{"categories":2192},[135],{"categories":2194},[1100],{"categories":2196},[],{"categories":2198},[248],{"categories":2200},[96],{"categories":2202},[179],{"categories":2204},[157],{"categories":2206},[135],{"categories":2208},[96],{"categories":2210},[],{"categories":2212},[],{"categories":2214},[135],{"categories":2216},[96],{"categories":2218},[135],{"categories":2220},[96],{"categories":2222},[371],{"categories":2224},[220],{"categories":2226},[179],{"categories":2228},[157],{"categories":2230},[135],{"categories":2232},[96],{"categories":2234},[96],{"categories":2236},[],{"categories":2238},[135],{"categories":2240},[],{"categories":2242},[],{"categories":2244},[135],{"categories":2246},[135],{"categories":2248},[96],{"categories":2250},[157],{"categories":2252},[],{"categories":2254},[],{"categories":2256},[223],{"categories":2258},[168],{"categories":2260},[135],{"categories":2262},[223],{"categories":2264},[179],{"categories":2266},[135],{"categories":2268},[135],{"categories":2270},[96],{"categories":2272},[135],{"categories":2274},[96],{"categories":2276},[135],{"categories":2278},[135],{"categories":2280},[96],{"categories":2282},[],{"categories":2284},[],{"categories":2286},[135],{"categories":2288},[283],{"categories":2290},[135],{"categories":2292},[],{"categories":2294},[],{"categories":2296},[220],{"categories":2298},[829],{"categories":2300},[96],{"categories":2302},[138],{"categories":2304},[2137],{"categories":2306},[],{"categories":2308},[],{"categories":2310},[135],{"categories":2312},[],{"categories":2314},[],{"categories":2316},[157],{"categories":2318},[179],{"categories":2320},[248],{"categories":2322},[141],{"categories":2324},[135],{"categories":2326},[135],{"categories":2328},[141],{"categories":2330},[],{"categories":2332},[220],{"categories":2334},[135],{"categories":2336},[135],{"categories":2338},[96],{"categories":2340},[141],{"categories":2342},[135],{"categories":2344},[135],{"categories":2346},[138],{"categories":2348},[135],{"categories":2350},[],{"categories":2352},[138],{"categories":2354},[135],{"categories":2356},[248],{"categories":2358},[96],{"categories":2360},[179],{"categories":2362},[135],{"categories":2364},[141],{"categories":2366},[135],{"categories":2368},[135],{"categories":2370},[135],{"categories":2372},[96],{"categories":2374},[],{"categories":2376},[135],{"categories":2378},[157],{"categories":2380},[138],{"categories":2382},[135],{"categories":2384},[135],{"categories":2386},[],{"categories":2388},[135],{"categories":2390},[438],{"categories":2392},[141],{"categories":2394},[179],{"categories":2396},[135],{"categories":2398},[135],{"categories":2400},[],{"categories":2402},[141],{"categories":2404},[141],{"categories":2406},[135],{"categories":2408},[135],{"categories":2410},[148],{"categories":2412},[135],{"categories":2414},[135],{"categories":2416},[135],{"categories":2418},[157],{"categories":2420},[157],{"categories":2422},[135],{"categories":2424},[],{"categories":2426},[157],{"categories":2428},[135],{"categories":2430},[157],{"categories":2432},[525],{"categories":2434},[],{"categories":2436},[],{"categories":2438},[135],{"categories":2440},[179],{"categories":2442},[],{"categories":2444},[283],{"categories":2446},[135],{"categories":2448},[135],{"categories":2450},[220],{"categories":2452},[795],{"categories":2454},[],{"categories":2456},[135],{"categories":2458},[135],{"categories":2460},[135],{"categories":2462},[157],{"categories":2464},[135],{"categories":2466},[135],{"categories":2468},[135,283],{"categories":2470},[135],{"categories":2472},[135],{"categories":2474},[220],{"categories":2476},[96],{"categories":2478},[],{"categories":2480},[96],{"categories":2482},[96],{"categories":2484},[135],{"categories":2486},[135],{"categories":2488},[135],{"categories":2490},[223],{"categories":2492},[135],{"categories":2494},[2174],{"categories":2496},[138],{"categories":2498},[223],{"categories":2500},[138],{"categories":2502},[157],{"categories":2504},[220],{"categories":2506},[96],{"categories":2508},[135],{"categories":2510},[],{"categories":2512},[135],{"categories":2514},[135],{"categories":2516},[179],{"categories":2518},[135],{"categories":2520},[96],{"categories":2522},[135],{"categories":2524},[135],{"categories":2526},[141],{"categories":2528},[],{"categories":2530},[283],{"categories":2532},[135],{"categories":2534},[371],{"categories":2536},[220],{"categories":2538},[220],{"categories":2540},[157],{"categories":2542},[96],{"categories":2544},[135],{"categories":2546},[141],{"categories":2548},[179],{"categories":2550},[135],{"categories":2552},[220],{"categories":2554},[96],{"categories":2556},[135],{"categories":2558},[135],{"categories":2560},[489],{"categories":2562},[],{"categories":2564},[135],{"categories":2566},[135],{"categories":2568},[135],{"categories":2570},[],{"categories":2572},[],{"categories":2574},[135],{"categories":2576},[135],{"categories":2578},[135],{"categories":2580},[135],{"categories":2582},[135],{"categories":2584},[157],{"categories":2586},[135],{"categories":2588},[135],{"categories":2590},[96],{"categories":2592},[135],{"categories":2594},[135],{"categories":2596},[135],{"categories":2598},[135],{"categories":2600},[135],{"categories":2602},[],{"categories":2604},[157],{"categories":2606},[223],{"categories":2608},[135],{"categories":2610},[96],{"categories":2612},[135],{"categories":2614},[],{"categories":2616},[],{"categories":2618},[135],{"categories":2620},[135],{"categories":2622},[135],{"categories":2624},[179],{"categories":2626},[],{"categories":2628},[135],{"categories":2630},[220],{"categories":2632},[135],{"categories":2634},[283],{"categories":2636},[1584],{"categories":2638},[179],{"categories":2640},[157],{"categories":2642},[157],{"categories":2644},[157],{"categories":2646},[179],{"categories":2648},[179],{"categories":2650},[283],{"categories":2652},[],{"categories":2654},[179],{"categories":2656},[135],{"categories":2658},[138],{"categories":2660},[157],{"categories":2662},[135],{"categories":2664},[179],{"categories":2666},[],{"categories":2668},[135],{"categories":2670},[157],{"categories":2672},[157],{"categories":2674},[223],{"categories":2676},[135],{"categories":2678},[179],{"categories":2680},[135],{"categories":2682},[157],{"categories":2684},[96],{"categories":2686},[179],{"categories":2688},[96],{"categories":2690},[283],{"categories":2692},[96],{"categories":2694},[135],{"categories":2696},[135],{"categories":2698},[157],{"categories":2700},[135],{"categories":2702},[],{"categories":2704},[96],{"categories":2706},[141],{"categories":2708},[157],{"categories":2710},[],{"categories":2712},[],{"categories":2714},[135],{"categories":2716},[96],{"categories":2718},[135],{"categories":2720},[2721],"Frameworks & Tooling",{"categories":2723},[135],{"categories":2725},[135],{"categories":2727},[157],{"categories":2729},[135],{"categories":2731},[135],{"categories":2733},[],{"categories":2735},[223],{"categories":2737},[223],{"categories":2739},[138],{"categories":2741},[96],{"categories":2743},[220],{"categories":2745},[],{"categories":2747},[1584],{"categories":2749},[135],{"categories":2751},[157],{"categories":2753},[135],{"categories":2755},[283],{"categories":2757},[283],{"categories":2759},[],{"categories":2761},[96],{"categories":2763},[179],{"categories":2765},[179],{"categories":2767},[135],{"categories":2769},[96],{"categories":2771},[],{"categories":2773},[220],{"categories":2775},[135],{"categories":2777},[135],{"categories":2779},[],{"categories":2781},[135],{"categories":2783},[135],{"categories":2785},[],{"categories":2787},[157],{"categories":2789},[135],{"categories":2791},[157],{"categories":2793},[283],{"categories":2795},[135],{"categories":2797},[157],{"categories":2799},[141],{"categories":2801},[135],{"categories":2803},[1584],{"categories":2805},[],{"categories":2807},[96],{"categories":2809},[138],{"categories":2811},[135],{"categories":2813},[138],{"categories":2815},[],{"categories":2817},[96],{"categories":2819},[135],{"categories":2821},[2822],"AI Design Tooling",{"categories":2824},[220],{"categories":2826},[135],{"categories":2828},[135],{"categories":2830},[157],{"categories":2832},[220],{"categories":2834},[135],{"categories":2836},[157],{"categories":2838},[179],{"categories":2840},[148],{"categories":2842},[157],{"categories":2844},[135],{"categories":2846},[96],{"categories":2848},[],{"categories":2850},[135],{"categories":2852},[135],{"categories":2854},[96],{"categories":2856},[135],{"categories":2858},[135],{"categories":2860},[135],{"categories":2862},[],{"categories":2864},[96],{"categories":2866},[2721],{"categories":2868},[135],{"categories":2870},[96],{"categories":2872},[96],{"categories":2874},[157],{"categories":2876},[157],{"categories":2878},[],{"categories":2880},[157],{"categories":2882},[135],{"categories":2884},[135],{"categories":2886},[96],{"categories":2888},[141],{"categories":2890},[135],{"categories":2892},[],{"categories":2894},[135],{"categories":2896},[135],{"categories":2898},[1949],{"categories":2900},[],{"categories":2902},[135],{"categories":2904},[135],{"categories":2906},[135],{"categories":2908},[],{"categories":2910},[135],{"categories":2912},[135],{"categories":2914},[135],{"categories":2916},[248],{"categories":2918},[179],{"categories":2920},[135],{"categories":2922},[135],{"categories":2924},[1584],{"categories":2926},[138],{"categories":2928},[135],{"categories":2930},[135],{"categories":2932},[223],{"categories":2934},[135],{"categories":2936},[179],{"categories":2938},[96],{"categories":2940},[],{"categories":2942},[135],{"categories":2944},[135],{"categories":2946},[220],{"categories":2948},[135],{"categories":2950},[248],{"categories":2952},[135],{"categories":2954},[96],{"categories":2956},[],{"categories":2958},[],{"categories":2960},[],{"categories":2962},[138],{"categories":2964},[179],{"categories":2966},[96],{"categories":2968},[135],{"categories":2970},[135],{"categories":2972},[135],{"categories":2974},[392],{"categories":2976},[220],{"categories":2978},[96],{"categories":2980},[135],{"categories":2982},[],{"categories":2984},[96],{"categories":2986},[96],{"categories":2988},[],{"categories":2990},[135],{"categories":2992},[96],{"categories":2994},[135],{"categories":2996},[],{"categories":2998},[135],{"categories":3000},[135],{"categories":3002},[179],{"categories":3004},[220],{"categories":3006},[96],{"categories":3008},[220],{"categories":3010},[96],{"categories":3012},[135],{"categories":3014},[141],{"categories":3016},[],{"categories":3018},[],{"categories":3020},[135],{"categories":3022},[135],{"categories":3024},[138],{"categories":3026},[96],{"categories":3028},[179],{"categories":3030},[],{"categories":3032},[220],{"categories":3034},[],{"categories":3036},[157],{"categories":3038},[135],{"categories":3040},[157],{"categories":3042},[220],{"categories":3044},[157],{"categories":3046},[135],{"categories":3048},[],{"categories":3050},[135],{"categories":3052},[135],{"categories":3054},[],{"categories":3056},[135],{"categories":3058},[248],{"categories":3060},[135],{"categories":3062},[283],{"categories":3064},[157],{"categories":3066},[],{"categories":3068},[96],{"categories":3070},[135],{"categories":3072},[138],{"categories":3074},[489],{"categories":3076},[135],{"categories":3078},[96],{"categories":3080},[96],{"categories":3082},[135],{"categories":3084},[135],{"categories":3086},[],{"categories":3088},[135],{"categories":3090},[138],{"categories":3092},[135],{"categories":3094},[141],{"categories":3096},[157],{"categories":3098},[220],{"categories":3100},[],{"categories":3102},[],{"categories":3104},[],{"categories":3106},[96],{"categories":3108},[157],{"categories":3110},[220],{"categories":3112},[179],{"categories":3114},[135],{"categories":3116},[179],{"categories":3118},[96],{"categories":3120},[220],{"categories":3122},[135],{"categories":3124},[],{"categories":3126},[135],{"categories":3128},[168],{"categories":3130},[96],{"categories":3132},[220],{"categories":3134},[179],{"categories":3136},[141],{"categories":3138},[157],{"categories":3140},[135],{"categories":3142},[135],{"categories":3144},[179],{"categories":3146},[248],{"categories":3148},[],{"categories":3150},[],{"categories":3152},[223],{"categories":3154},[438],{"categories":3156},[135],{"categories":3158},[96],{"categories":3160},[135,157],{"categories":3162},[179],{"categories":3164},[135],{"categories":3166},[135],{"categories":3168},[135],{"categories":3170},[135],{"categories":3172},[96],{"categories":3174},[135],{"categories":3176},[96],{"categories":3178},[135],{"categories":3180},[135],{"categories":3182},[],{"categories":3184},[135],{"categories":3186},[1100],{"categories":3188},[157],{"categories":3190},[220],{"categories":3192},[135],{"categories":3194},[135],{"categories":3196},[135],{"categories":3198},[223],{"categories":3200},[96],{"categories":3202},[248],{"categories":3204},[283],{"categories":3206},[],{"categories":3208},[135],{"categories":3210},[141],{"categories":3212},[96],{"categories":3214},[138],{"categories":3216},[96],{"categories":3218},[135],{"categories":3220},[96],{"categories":3222},[148],{"categories":3224},[157],{"categories":3226},[135],{"categories":3228},[135],{"categories":3230},[],{"categories":3232},[],{"categories":3234},[],{"categories":3236},[283],{"categories":3238},[135],{"categories":3240},[179],{"categories":3242},[135],{"categories":3244},[135],{"categories":3246},[135],{"categories":3248},[135],{"categories":3250},[],{"categories":3252},[223],{"categories":3254},[141],{"categories":3256},[96],{"categories":3258},[135],{"categories":3260},[],{"categories":3262},[135],{"categories":3264},[96],{"categories":3266},[135],{"categories":3268},[283],{"categories":3270},[],{"categories":3272},[220],{"categories":3274},[220],{"categories":3276},[],{"categories":3278},[157],{"categories":3280},[135],{"categories":3282},[220],{"categories":3284},[135],{"categories":3286},[141],{"categories":3288},[96],{"categories":3290},[135],{"categories":3292},[],{"categories":3294},[179],{"categories":3296},[135],{"categories":3298},[135],{"categories":3300},[135],{"categories":3302},[220],{"categories":3304},[96],{"categories":3306},[179],{"categories":3308},[],{"categories":3310},[96],{"categories":3312},[141],{"categories":3314},[96],{"categories":3316},[220],{"categories":3318},[135],{"categories":3320},[135],{"categories":3322},[135],{"categories":3324},[438],{"categories":3326},[135],{"categories":3328},[],{"categories":3330},[135],{"categories":3332},[135],{"categories":3334},[283],{"categories":3336},[179],{"categories":3338},[223],{"categories":3340},[525],{"categories":3342},[223],{"categories":3344},[135],{"categories":3346},[],{"categories":3348},[],{"categories":3350},[],{"categories":3352},[96],{"categories":3354},[96],{"categories":3356},[157],{"categories":3358},[135],{"categories":3360},[419],{"categories":3362},[157],{"categories":3364},[135],{"categories":3366},[135],{"categories":3368},[135],{"categories":3370},[135],{"categories":3372},[96],{"categories":3374},[],{"categories":3376},[],{"categories":3378},[135],{"categories":3380},[],{"categories":3382},[135],{"categories":3384},[96],{"categories":3386},[220],{"categories":3388},[135],{"categories":3390},[135],{"categories":3392},[],{"categories":3394},[96],{"categories":3396},[148],{"categories":3398},[135],{"categories":3400},[220],{"categories":3402},[135],{"categories":3404},[96],{"categories":3406},[141],{"categories":3408},[135],{"categories":3410},[248],{"categories":3412},[96],{"categories":3414},[135],{"categories":3416},[135],{"categories":3418},[795],{"categories":3420},[135],{"categories":3422},[96],{"categories":3424},[135],{"categories":3426},[157],{"categories":3428},[135],{"categories":3430},[489],{"categories":3432},[220],{"categories":3434},[],{"categories":3436},[179],{"categories":3438},[438],{"categories":3440},[96],{"categories":3442},[135],{"categories":3444},[],{"categories":3446},[179],{"categories":3448},[371],{"categories":3450},[96],{"categories":3452},[96],{"categories":3454},[135],{"categories":3456},[135],{"categories":3458},[96],{"categories":3460},[],{"categories":3462},[135],{"categories":3464},[141],{"categories":3466},[96],{"categories":3468},[],{"categories":3470},[157],{"categories":3472},[135],{"categories":3474},[135],{"categories":3476},[138],{"categories":3478},[179],{"categories":3480},[283],{"categories":3482},[168],{"categories":3484},[96],{"categories":3486},[96],{"categories":3488},[135],{"categories":3490},[96],{"categories":3492},[135],{"categories":3494},[138],{"categories":3496},[],{"categories":3498},[135],{"categories":3500},[135],{"categories":3502},[135],{"categories":3504},[],{"categories":3506},[],{"categories":3508},[220],{"categories":3510},[96],{"categories":3512},[135,141],{"categories":3514},[96],{"categories":3516},[135],{"categories":3518},[],{"categories":3520},[138],{"categories":3522},[223],{"categories":3524},[141],{"categories":3526},[135],{"categories":3528},[157],{"categories":3530},[135],{"categories":3532},[96],{"categories":3534},[135],{"categories":3536},[135],{"categories":3538},[135],{"categories":3540},[179],{"categories":3542},[1100],{"categories":3544},[96],{"categories":3546},[135],{"categories":3548},[],{"categories":3550},[],{"categories":3552},[135],{"categories":3554},[96],{"categories":3556},[135],{"categories":3558},[135],{"categories":3560},[283],{"categories":3562},[],{"categories":3564},[135],{"categories":3566},[96],{"categories":3568},[168],{"categories":3570},[96],{"categories":3572},[438],{"categories":3574},[],{"categories":3576},[392],{"categories":3578},[96],{"categories":3580},[135],{"categories":3582},[248],{"categories":3584},[135],{"categories":3586},[223],{"categories":3588},[96],{"categories":3590},[135],{"categories":3592},[438],{"categories":3594},[135],{"categories":3596},[283],{"categories":3598},[],{"categories":3600},[135],{"categories":3602},[248],{"categories":3604},[220],{"categories":3606},[135],{"categories":3608},[135],{"categories":3610},[135],{"categories":3612},[],{"categories":3614},[248],{"categories":3616},[179],{"categories":3618},[135],{"categories":3620},[135],{"categories":3622},[525],{"categories":3624},[138],{"categories":3626},[135],{"categories":3628},[],{"categories":3630},[],{"categories":3632},[220],{"categories":3634},[135],{"categories":3636},[223],{"categories":3638},[248],{"categories":3640},[96],{"categories":3642},[135],{"categories":3644},[248],{"categories":3646},[179],{"categories":3648},[],{"categories":3650},[135],{"categories":3652},[135],{"categories":3654},[],{"categories":3656},[135],{"categories":3658},[135],{"categories":3660},[548],{"categories":3662},[135],{"categories":3664},[135],{"categories":3666},[96],{"categories":3668},[157],{"categories":3670},[438],{"categories":3672},[135],{"categories":3674},[135],{"categories":3676},[135],{"categories":3678},[],{"categories":3680},[135,157],{"categories":3682},[179],{"categories":3684},[96],{"categories":3686},[157],{"categories":3688},[96],{"categories":3690},[829],{"categories":3692},[157],{"categories":3694},[135],{"categories":3696},[138],{"categories":3698},[],{"categories":3700},[],{"categories":3702},[96],{"categories":3704},[135],{"categories":3706},[157],{"categories":3708},[135],{"categories":3710},[138],{"categories":3712},[157],{"categories":3714},[157],{"categories":3716},[135],{"categories":3718},[248],{"categories":3720},[135],{"categories":3722},[157],{"categories":3724},[135],{"categories":3726},[],{"categories":3728},[135],{"categories":3730},[220,135],{"categories":3732},[283],{"categories":3734},[138],{"categories":3736},[],{"categories":3738},[135],{"categories":3740},[135],{"categories":3742},[141],{"categories":3744},[141],{"categories":3746},[135],{"categories":3748},[135],{"categories":3750},[371],{"categories":3752},[135],{"categories":3754},[157],{"categories":3756},[223],{"categories":3758},[96],{"categories":3760},[157],{"categories":3762},[135],{"categories":3764},[135],{"categories":3766},[179],{"categories":3768},[248],{"categories":3770},[220],{"categories":3772},[135],{"categories":3774},[135],{"categories":3776},[135],{"categories":3778},[135],{"categories":3780},[138],{"categories":3782},[135],{"categories":3784},[96],{"categories":3786},[96],{"categories":3788},[157],{"categories":3790},[179],{"categories":3792},[157],{"categories":3794},[157],{"categories":3796},[135],{"categories":3798},[],{"categories":3800},[],{"categories":3802},[223],{"categories":3804},[135],{"categories":3806},[157],{"categories":3808},[135],{"categories":3810},[220],{"categories":3812},[438],{"categories":3814},[392],{"categories":3816},[371],{"categories":3818},[135],{"categories":3820},[135],{"categories":3822},[135],{"categories":3824},[223],{"categories":3826},[135],{"categories":3828},[135],{"categories":3830},[135],{"categories":3832},[135],{"categories":3834},[135],{"categories":3836},[135],{"categories":3838},[96],{"categories":3840},[138],{"categories":3842},[96],{"categories":3844},[135,141],{"categories":3846},[],{"categories":3848},[220],{"categories":3850},[],{"categories":3852},[148],{"categories":3854},[135],{"categories":3856},[179],{"categories":3858},[138],{"categories":3860},[138],{"categories":3862},[96],{"categories":3864},[96],{"categories":3866},[96],{"categories":3868},[135],{"categories":3870},[135],{"categories":3872},[141],{"categories":3874},[96],{"categories":3876},[157],{"categories":3878},[248],{"categories":3880},[135],{"categories":3882},[],{"categories":3884},[179],{"categories":3886},[135],{"categories":3888},[135],{"categories":3890},[135],{"categories":3892},[135],{"categories":3894},[135],{"categories":3896},[157],{"categories":3898},[179],{"categories":3900},[157],{"categories":3902},[157],{"categories":3904},[135],{"categories":3906},[135],{"categories":3908},[135],{"categories":3910},[392],{"categories":3912},[135],{"categories":3914},[96],{"categories":3916},[179],{"categories":3918},[135],{"categories":3920},[135],{"categories":3922},[135],{"categories":3924},[96],{"categories":3926},[135],{"categories":3928},[135],{"categories":3930},[135],{"categories":3932},[2721],{"categories":3934},[3935],"Clinical AI",{"categories":3937},[220],{"categories":3939},[135],{"categories":3941},[135],{"categories":3943},[135],{"categories":3945},[283],{"categories":3947},[2174],{"categories":3949},[135],{"categories":3951},[148],{"categories":3953},[135],{"categories":3955},[96],{"categories":3957},[135],{"categories":3959},[135],{"categories":3961},[179],{"categories":3963},[135],{"categories":3965},[96],{"categories":3967},[157],{"categories":3969},[248],{"categories":3971},[135],{"categories":3973},[135],{"categories":3975},[141],{"categories":3977},[135],{"categories":3979},[135],{"categories":3981},[489],{"categories":3983},[135],{"categories":3985},[],{"categories":3987},[135],{"categories":3989},[157],{"categories":3991},[138],{"categories":3993},[135],{"categories":3995},[],{"categories":3997},[],{"categories":3999},[135],{"categories":4001},[],{"categories":4003},[141],{"categories":4005},[135],{"categories":4007},[96],{"categories":4009},[179],{"categories":4011},[179],{"categories":4013},[179],{"categories":4015},[179],{"categories":4017},[],{"categories":4019},[138],{"categories":4021},[96],{"categories":4023},[179],{"categories":4025},[135],{"categories":4027},[548],{"categories":4029},[148],{"categories":4031},[135],{"categories":4033},[138],{"categories":4035},[135],{"categories":4037},[96],{"categories":4039},[135],{"categories":4041},[135],{"categories":4043},[135,96],{"categories":4045},[96],{"categories":4047},[283],{"categories":4049},[179],{"categories":4051},[96],{"categories":4053},[179],{"categories":4055},[96],{"categories":4057},[135],{"categories":4059},[],{"categories":4061},[179],{"categories":4063},[248],{"categories":4065},[138],{"categories":4067},[135],{"categories":4069},[135],{"categories":4071},[],{"categories":4073},[157],{"categories":4075},[],{"categories":4077},[138],{"categories":4079},[96],{"categories":4081},[179],{"categories":4083},[135],{"categories":4085},[179],{"categories":4087},[138],{"categories":4089},[179],{"categories":4091},[179],{"categories":4093},[],{"categories":4095},[141],{"categories":4097},[96],{"categories":4099},[179],{"categories":4101},[179],{"categories":4103},[179],{"categories":4105},[179],{"categories":4107},[179],{"categories":4109},[179],{"categories":4111},[179],{"categories":4113},[179],{"categories":4115},[179],{"categories":4117},[179],{"categories":4119},[223],{"categories":4121},[138],{"categories":4123},[135],{"categories":4125},[135],{"categories":4127},[96],{"categories":4129},[96],{"categories":4131},[],{"categories":4133},[135,138],{"categories":4135},[],{"categories":4137},[96],{"categories":4139},[135],{"categories":4141},[179],{"categories":4143},[96],{"categories":4145},[829],{"categories":4147},[135],{"categories":4149},[135],{"categories":4151},[135],{"categories":4153},[135],{"categories":4155},[135],{"categories":4157},[371],{"categories":4159},[135],{"categories":4161},[96],{"categories":4163},[141],{"categories":4165},[96],{"categories":4167},[96],{"categories":4169},[],{"categories":4171},[96],{"categories":4173},[220],{"categories":4175},[179],{"categories":4177},[135],{"categories":4179},[],{"categories":4181},[148],{"categories":4183},[],{"categories":4185},[157],{"categories":4187},[96],{"categories":4189},[220],{"categories":4191},[135],{"categories":4193},[],{"categories":4195},[135],{"categories":4197},[],{"categories":4199},[248],{"categories":4201},[135],{"categories":4203},[],{"categories":4205},[],{"categories":4207},[179],{"categories":4209},[138],{"categories":4211},[135],{"categories":4213},[135],{"categories":4215},[141],{"categories":4217},[135],{"categories":4219},[135],{"categories":4221},[135],{"categories":4223},[141],{"categories":4225},[220],{"categories":4227},[],{"categories":4229},[135],{"categories":4231},[179],{"categories":4233},[],{"categories":4235},[135],{"categories":4237},[135],{"categories":4239},[220],{"categories":4241},[135],{"categories":4243},[248],{"categories":4245},[135],{"categories":4247},[283],{"categories":4249},[],{"categories":4251},[96],{"categories":4253},[248],{"categories":4255},[157],{"categories":4257},[],{"categories":4259},[135],{"categories":4261},[],{"categories":4263},[96],{"categories":4265},[220],{"categories":4267},[157],{"categories":4269},[],{"categories":4271},[2721],{"categories":4273},[141],{"categories":4275},[138],{"categories":4277},[135],{"categories":4279},[223],{"categories":4281},[96],{"categories":4283},[220],{"categories":4285},[157],{"categories":4287},[],{"categories":4289},[],{"categories":4291},[135],{"categories":4293},[138],{"categories":4295},[135],{"categories":4297},[248],{"categories":4299},[],{"categories":4301},[96],{"categories":4303},[96],{"categories":4305},[135],{"categories":4307},[96],{"categories":4309},[135],{"categories":4311},[179],{"categories":4313},[157],{"categories":4315},[135],{"categories":4317},[96],{"categories":4319},[148],{"categories":4321},[135],{"categories":4323},[135],{"categories":4325},[96],{"categories":4327},[135],{"categories":4329},[148],{"categories":4331},[248],{"categories":4333},[179],{"categories":4335},[],{"categories":4337},[248],{"categories":4339},[135],{"categories":4341},[],{"categories":4343},[157],{"categories":4345},[96],{"categories":4347},[],{"categories":4349},[135],{"categories":4351},[135],{"categories":4353},[135],{"categories":4355},[135],{"categories":4357},[96],{"categories":4359},[141],{"categories":4361},[138],{"categories":4363},[135],{"categories":4365},[220],{"categories":4367},[157],{"categories":4369},[157],{"categories":4371},[135],{"categories":4373},[223],{"categories":4375},[96],{"categories":4377},[135],{"categories":4379},[135],{"categories":4381},[96],{"categories":4383},[135],{"categories":4385},[141],{"categories":4387},[220],{"categories":4389},[157],{"categories":4391},[96],{"categories":4393},[135],{"categories":4395},[148],{"categories":4397},[135],{"categories":4399},[96],{"categories":4401},[135],{"categories":4403},[179],{"categories":4405},[],{"categories":4407},[138],{"categories":4409},[135],{"categories":4411},[135],{"categories":4413},[135],{"categories":4415},[157],{"categories":4417},[157],{"categories":4419},[135],{"categories":4421},[157],{"categories":4423},[135],{"categories":4425},[96],{"categories":4427},[135],{"categories":4429},[135],{"categories":4431},[135],{"categories":4433},[135],{"categories":4435},[135],{"categories":4437},[],{"categories":4439},[135],{"categories":4441},[220],{"categories":4443},[141],{"categories":4445},[179],{"categories":4447},[96],{"categories":4449},[135],{"categories":4451},[135],{"categories":4453},[220],{"categories":4455},[96],{"categories":4457},[135],{"categories":4459},[248],{"categories":4461},[135],{"categories":4463},[223],{"categories":4465},[135],{"categories":4467},[135],{"categories":4469},[179],{"categories":4471},[135],{"categories":4473},[135],{"categories":4475},[135],{"categories":4477},[96],{"categories":4479},[283],{"categories":4481},[135],{"categories":4483},[157],{"categories":4485},[96],{"categories":4487},[223],{"categories":4489},[],{"categories":4491},[96],{"categories":4493},[157],{"categories":4495},[135],{"categories":4497},[2028],{"categories":4499},[220],{"categories":4501},[312],{"categories":4503},[135],{"categories":4505},[135],{"categories":4507},[138],{"categories":4509},[157],{"categories":4511},[141],{"categories":4513},[157],{"categories":4515},[135],{"categories":4517},[],{"categories":4519},[96],{"categories":4521},[96],{"categories":4523},[135],{"categories":4525},[135],{"categories":4527},[223],{"categories":4529},[],{"categories":4531},[179],{"categories":4533},[],{"categories":4535},[179],{"categories":4537},[135],{"categories":4539},[135],{"categories":4541},[96],{"categories":4543},[135],{"categories":4545},[96],{"categories":4547},[96],{"categories":4549},[],{"categories":4551},[179],{"categories":4553},[135],{"categories":4555},[],{"categories":4557},[135],{"categories":4559},[135],{"categories":4561},[],{"categories":4563},[220],{"categories":4565},[157],{"categories":4567},[96],{"categories":4569},[135],{"categories":4571},[135],{"categories":4573},[248],{"categories":4575},[135],{"categories":4577},[135],{"categories":4579},[135],{"categories":4581},[138],{"categories":4583},[135],{"categories":4585},[],{"categories":4587},[135],{"categories":4589},[135],{"categories":4591},[],{"categories":4593},[138],{"categories":4595},[179],{"categories":4597},[157],{"categories":4599},[148],{"categories":4601},[438],{"categories":4603},[135],{"categories":4605},[135],{"categories":4607},[135],{"categories":4609},[157],{"categories":4611},[179],{"categories":4613},[220],{"categories":4615},[135],{"categories":4617},[135],{"categories":4619},[135],{"categories":4621},[179],{"categories":4623},[220],{"categories":4625},[135],{"categories":4627},[135],{"categories":4629},[179],{"categories":4631},[220],{"categories":4633},[135],{"categories":4635},[179],{"categories":4637},[96],{"categories":4639},[96],{"categories":4641},[96],{"categories":4643},[157],{"categories":4645},[179],{"categories":4647},[96],{"categories":4649},[96],{"categories":4651},[135],{"categories":4653},[157],{"categories":4655},[220],{"categories":4657},[135],{"categories":4659},[135],{"categories":4661},[],{"categories":4663},[96],{"categories":4665},[],{"categories":4667},[135],{"categories":4669},[135],{"categories":4671},[],{"categories":4673},[],{"categories":4675},[96],{"categories":4677},[141],{"categories":4679},[96],{"categories":4681},[4682],"Liability & Ethics",{"categories":4684},[135],{"categories":4686},[96],{"categories":4688},[138],{"categories":4690},[96],{"categories":4692},[141],{"categories":4694},[248],{"categories":4696},[96],{"categories":4698},[135],{"categories":4700},[],{"categories":4702},[525],{"categories":4704},[96],{"categories":4706},[],{"categories":4708},[138],{"categories":4710},[96],{"categories":4712},[],{"categories":4714},[96],{"categories":4716},[135],{"categories":4718},[135],{"categories":4720},[135],{"categories":4722},[179],{"categories":4724},[135],{"categories":4726},[135],{"categories":4728},[96],{"categories":4730},[135],{"categories":4732},[135],{"categories":4734},[135],{"categories":4736},[179],{"categories":4738},[96],{"categories":4740},[157],{"categories":4742},[220],{"categories":4744},[138],{"categories":4746},[135],{"categories":4748},[135],{"categories":4750},[],{"categories":4752},[96],{"categories":4754},[96],{"categories":4756},[438],{"categories":4758},[220],{"categories":4760},[283],{"categories":4762},[179],{"categories":4764},[135],{"categories":4766},[220],{"categories":4768},[135],{"categories":4770},[138],{"categories":4772},[],{"categories":4774},[96],{"categories":4776},[135],{"categories":4778},[135],{"categories":4780},[96],{"categories":4782},[135],{"categories":4784},[220],{"categories":4786},[],{"categories":4788},[96],{"categories":4790},[148],{"categories":4792},[179],{"categories":4794},[96],{"categories":4796},[141],{"categories":4798},[],{"categories":4800},[135],{"categories":4802},[148],{"categories":4804},[135],{"categories":4806},[96],{"categories":4808},[179],{"categories":4810},[138],{"categories":4812},[283],{"categories":4814},[135],{"categories":4816},[135],{"categories":4818},[135],{"categories":4820},[179],{"categories":4822},[141],{"categories":4824},[135],{"categories":4826},[220],{"categories":4828},[179],{"categories":4830},[283],{"categories":4832},[135],{"categories":4834},[96],{"categories":4836},[],{"categories":4838},[489],{"categories":4840},[],{"categories":4842},[135],{"categories":4844},[283],{"categories":4846},[223],{"categories":4848},[96],{"categories":4850},[96],{"categories":4852},[4853],"Design News & Tools",{"categories":4855},[135],{"categories":4857},[179],{"categories":4859},[135],{"categories":4861},[135],{"categories":4863},[138],{"categories":4865},[135],{"categories":4867},[220],{"categories":4869},[96],{"categories":4871},[96],{"categories":4873},[220],{"categories":4875},[135],{"categories":4877},[438],{"categories":4879},[96],{"categories":4881},[135],{"categories":4883},[135],{"categories":4885},[438],{"categories":4887},[135],{"categories":4889},[248],{"categories":4891},[135],{"categories":4893},[96],{"categories":4895},[],{"categories":4897},[135],{"categories":4899},[135],{"categories":4901},[135],{"categories":4903},[179],{"categories":4905},[138],{"categories":4907},[],{"categories":4909},[135],{"categories":4911},[135],{"categories":4913},[157],{"categories":4915},[548],{"categories":4917},[157],{"categories":4919},[220],{"categories":4921},[135],{"categories":4923},[135,96],{"categories":4925},[248,141],{"categories":4927},[135],{"categories":4929},[135],{"categories":4931},[135],{"categories":4933},[],{"categories":4935},[96],{"categories":4937},[],{"categories":4939},[157],{"categories":4941},[135],{"categories":4943},[157],{"categories":4945},[],{"categories":4947},[96],{"categories":4949},[135],{"categories":4951},[179],{"categories":4953},[135],{"categories":4955},[],{"categories":4957},[96],{"categories":4959},[135],{"categories":4961},[],{"categories":4963},[220],{"categories":4965},[135],{"categories":4967},[96],{"categories":4969},[135],{"categories":4971},[135],{"categories":4973},[138],{"categories":4975},[96],{"categories":4977},[135],{"categories":4979},[],{"categories":4981},[283],{"categories":4983},[248],{"categories":4985},[141],{"categories":4987},[141],{"categories":4989},[135],{"categories":4991},[138],{"categories":4993},[138],{"categories":4995},[135],{"categories":4997},[96],{"categories":4999},[135],{"categories":5001},[135],{"categories":5003},[135],{"categories":5005},[157],{"categories":5007},[135],{"categories":5009},[138],{"categories":5011},[135],{"categories":5013},[96],{"categories":5015},[135],{"categories":5017},[248],{"categories":5019},[135],{"categories":5021},[179],{"categories":5023},[135],{"categories":5025},[135],{"categories":5027},[96],{"categories":5029},[135],{"categories":5031},[],{"categories":5033},[157],{"categories":5035},[],{"categories":5037},[157],{"categories":5039},[96],{"categories":5041},[138],{"categories":5043},[],{"categories":5045},[223],{"categories":5047},[283],{"categories":5049},[135],{"categories":5051},[157],{"categories":5053},[135],{"categories":5055},[],{"categories":5057},[179],{"categories":5059},[96],{"categories":5061},[157],{"categories":5063},[220],{"categories":5065},[135],{"categories":5067},[135],{"categories":5069},[96],{"categories":5071},[157],{"categories":5073},[96],{"categories":5075},[179],{"categories":5077},[135],{"categories":5079},[148],{"categories":5081},[138],{"categories":5083},[148],{"categories":5085},[179],{"categories":5087},[157],{"categories":5089},[135],{"categories":5091},[220],{"categories":5093},[141],{"categories":5095},[135],{"categories":5097},[135],{"categories":5099},[135],{"categories":5101},[135],{"categories":5103},[135],{"categories":5105},[96],{"categories":5107},[135],{"categories":5109},[96],{"categories":5111},[135],{"categories":5113},[135],{"categories":5115},[138],{"categories":5117},[135],{"categories":5119},[96],{"categories":5121},[96],{"categories":5123},[220],{"categories":5125},[96],{"categories":5127},[96],{"categories":5129},[138],{"categories":5131},[96],{"categories":5133},[220],{"categories":5135},[],{"categories":5137},[135],{"categories":5139},[223],{"categories":5141},[438],{"categories":5143},[135],{"categories":5145},[135],{"categories":5147},[135],{"categories":5149},[157],{"categories":5151},[135],{"categories":5153},[],{"categories":5155},[96],{"categories":5157},[248],{"categories":5159},[135],{"categories":5161},[179],{"categories":5163},[96],{"categories":5165},[135],{"categories":5167},[248],{"categories":5169},[96],{"categories":5171},[141],{"categories":5173},[141],{"categories":5175},[135],{"categories":5177},[135],{"categories":5179},[135],{"categories":5181},[138],{"categories":5183},[],{"categories":5185},[135],{"categories":5187},[135],{"categories":5189},[96],{"categories":5191},[96],{"categories":5193},[135],{"categories":5195},[135],{"categories":5197},[135],{"categories":5199},[157],{"categories":5201},[],{"categories":5203},[138],{"categories":5205},[135],{"categories":5207},[135],{"categories":5209},[96],{"categories":5211},[96],{"categories":5213},[],{"categories":5215},[157],{"categories":5217},[157],{"categories":5219},[135],{"categories":5221},[248],{"categories":5223},[141],{"categories":5225},[220],{"categories":5227},[],{"categories":5229},[135],{"categories":5231},[96],{"categories":5233},[138],{"categories":5235},[135],{"categories":5237},[157],{"categories":5239},[138],{"categories":5241},[179],{"categories":5243},[223],{"categories":5245},[179],{"categories":5247},[96],{"categories":5249},[],{"categories":5251},[179],{"categories":5253},[96],{"categories":5255},[220],{"categories":5257},[223],{"categories":5259},[135],{"categories":5261},[],{"categories":5263},[96],{"categories":5265},[96],{"categories":5267},[2721],{"categories":5269},[179],{"categories":5271},[157],{"categories":5273},[135],{"categories":5275},[135],{"categories":5277},[135],{"categories":5279},[135],{"categories":5281},[141],{"categories":5283},[135],{"categories":5285},[138],{"categories":5287},[1584],{"categories":5289},[283],{"categories":5291},[138],{"categories":5293},[],{"categories":5295},[],{"categories":5297},[179],{"categories":5299},[96],{"categories":5301},[220],{"categories":5303},[135],{"categories":5305},[179],{"categories":5307},[],{"categories":5309},[96],{"categories":5311},[96],{"categories":5313},[96],{"categories":5315},[],{"categories":5317},[135],{"categories":5319},[],{"categories":5321},[179],{"categories":5323},[138],{"categories":5325},[220],{"categories":5327},[135],{"categories":5329},[96],{"categories":5331},[179],{"categories":5333},[135],{"categories":5335},[179],{"categories":5337},[],{"categories":5339},[179],{"categories":5341},[138],{"categories":5343},[438],{"categories":5345},[96],{"categories":5347},[135],{"categories":5349},[],{"categories":5351},[157],{"categories":5353},[96],{"categories":5355},[148],{"categories":5357},[96],{"categories":5359},[138],{"categories":5361},[],{"categories":5363},[],{"categories":5365},[],{"categories":5367},[220],{"categories":5369},[96],{"categories":5371},[135],{"categories":5373},[135],{"categories":5375},[],{"categories":5377},[],{"categories":5379},[],{"categories":5381},[220],{"categories":5383},[135],{"categories":5385},[],{"categories":5387},[96],{"categories":5389},[135],{"categories":5391},[138],{"categories":5393},[],{"categories":5395},[],{"categories":5397},[135],{"categories":5399},[220],{"categories":5401},[135],{"categories":5403},[179],{"categories":5405},[],{"categories":5407},[135],{"categories":5409},[248],{"categories":5411},[179],{"categories":5413},[248],{"categories":5415},[223],{"categories":5417},[135],{"categories":5419},[135],{"categories":5421},[],{"categories":5423},[],{"categories":5425},[96],{"categories":5427},[],{"categories":5429},[135],{"categories":5431},[438],{"categories":5433},[135],{"categories":5435},[135],{"categories":5437},[135],{"categories":5439},[135],{"categories":5441},[],{"categories":5443},[96],{"categories":5445},[135],{"categories":5447},[135],{"categories":5449},[],{"categories":5451},[96],{"categories":5453},[135],{"categories":5455},[179],{"categories":5457},[135],{"categories":5459},[248],{"categories":5461},[141],{"categories":5463},[135],{"categories":5465},[135],{"categories":5467},[96],{"categories":5469},[223],{"categories":5471},[96],{"categories":5473},[96],{"categories":5475},[],{"categories":5477},[96],{"categories":5479},[],{"categories":5481},[135],{"categories":5483},[],{"categories":5485},[179],{"categories":5487},[141],{"categories":5489},[],{"categories":5491},[135],{"categories":5493},[],{"categories":5495},[220],{"categories":5497},[138],{"categories":5499},[],{"categories":5501},[141],{"categories":5503},[248],{"categories":5505},[135],{"categories":5507},[157],{"categories":5509},[138],{"categories":5511},[223],{"categories":5513},[141],{"categories":5515},[157],{"categories":5517},[96],{"categories":5519},[157],{"categories":5521},[],{"categories":5523},[148],{"categories":5525},[135],{"categories":5527},[],{"categories":5529},[96],{"categories":5531},[138],{"categories":5533},[220],{"categories":5535},[135],{"categories":5537},[138],{"categories":5539},[96],{"categories":5541},[283],{"categories":5543},[135],{"categories":5545},[135],{"categories":5547},[135],{"categories":5549},[138],{"categories":5551},[223],{"categories":5553},[96],{"categories":5555},[],{"categories":5557},[135],{"categories":5559},[135],{"categories":5561},[157],{"categories":5563},[96],{"categories":5565},[179],{"categories":5567},[157],{"categories":5569},[135],{"categories":5571},[148],{"categories":5573},[],{"categories":5575},[220],{"categories":5577},[179],{"categories":5579},[138],{"categories":5581},[96],{"categories":5583},[135],{"categories":5585},[135],{"categories":5587},[96],{"categories":5589},[148],{"categories":5591},[135],{"categories":5593},[96],{"categories":5595},[135],{"categories":5597},[141],{"categories":5599},[96],{"categories":5601},[96,283],{"categories":5603},[135],{"categories":5605},[135],{"categories":5607},[96],{"categories":5609},[157],{"categories":5611},[135],{"categories":5613},[135],{"categories":5615},[223],{"categories":5617},[96],{"categories":5619},[248],{"categories":5621},[96],{"categories":5623},[141],{"categories":5625},[],{"categories":5627},[96],{"categories":5629},[135],{"categories":5631},[141],{"categories":5633},[],{"categories":5635},[],{"categories":5637},[157],{"categories":5639},[135],{"categories":5641},[135],{"categories":5643},[96],{"categories":5645},[223],{"categories":5647},[248],{"categories":5649},[135],{"categories":5651},[135],{"categories":5653},[96],{"categories":5655},[],{"categories":5657},[96],{"categories":5659},[179],{"categories":5661},[96],{"categories":5663},[],{"categories":5665},[179],{"categories":5667},[157],{"categories":5669},[2721],{"categories":5671},[138],{"categories":5673},[157],{"categories":5675},[135],{"categories":5677},[96],{"categories":5679},[135],{"categories":5681},[135],{"categories":5683},[248],{"categories":5685},[157],{"categories":5687},[],{"categories":5689},[179],{"categories":5691},[135],{"categories":5693},[],{"categories":5695},[96],{"categories":5697},[135],{"categories":5699},[135],{"categories":5701},[135],{"categories":5703},[135],{"categories":5705},[96],{"categories":5707},[135],{"categories":5709},[135],{"categories":5711},[148],{"categories":5713},[135],{"categories":5715},[96],{"categories":5717},[135],{"categories":5719},[135],{"categories":5721},[135],{"categories":5723},[135],{"categories":5725},[135],{"categories":5727},[135],{"categories":5729},[141],{"categories":5731},[],{"categories":5733},[148],{"categories":5735},[179],{"categories":5737},[96],{"categories":5739},[135],{"categories":5741},[157],{"categories":5743},[],{"categories":5745},[157],{"categories":5747},[157],{"categories":5749},[96],{"categories":5751},[157],{"categories":5753},[135],{"categories":5755},[135],{"categories":5757},[135],{"categories":5759},[96],{"categories":5761},[157],{"categories":5763},[135],{"categories":5765},[135],{"categories":5767},[96],{"categories":5769},[179],{"categories":5771},[135],{"categories":5773},[135],{"categories":5775},[135],{"categories":5777},[141],{"categories":5779},[135],{"categories":5781},[96],{"categories":5783},[220],{"categories":5785},[],{"categories":5787},[135],{"categories":5789},[223],{"categories":5791},[96],{"categories":5793},[135],{"categories":5795},[135],{"categories":5797},[],{"categories":5799},[135],{"categories":5801},[135],{"categories":5803},[179],{"categories":5805},[135],{"categories":5807},[135],{"categories":5809},[96],{"categories":5811},[248],{"categories":5813},[],{"categories":5815},[],{"categories":5817},[157],{"categories":5819},[135],{"categories":5821},[179],{"categories":5823},[157],{"categories":5825},[179],{"categories":5827},[135],{"categories":5829},[248],{"categories":5831},[223],{"categories":5833},[135],{"categories":5835},[138],{"categories":5837},[96],{"categories":5839},[135],{"categories":5841},[96],{"categories":5843},[96],{"categories":5845},[135],{"categories":5847},[141],{"categories":5849},[],{"categories":5851},[223],{"categories":5853},[135],{"categories":5855},[],{"categories":5857},[179],{"categories":5859},[135],{"categories":5861},[223],{"categories":5863},[135],{"categories":5865},[157],{"categories":5867},[157],{"categories":5869},[157],{"categories":5871},[96],{"categories":5873},[96],{"categories":5875},[96],{"categories":5877},[135],{"categories":5879},[135],{"categories":5881},[220],{"categories":5883},[223],{"categories":5885},[223],{"categories":5887},[],{"categories":5889},[179],{"categories":5891},[135],{"categories":5893},[135],{"categories":5895},[157],{"categories":5897},[],{"categories":5899},[179],{"categories":5901},[179],{"categories":5903},[179],{"categories":5905},[],{"categories":5907},[96],{"categories":5909},[135],{"categories":5911},[],{"categories":5913},[138],{"categories":5915},[141],{"categories":5917},[],{"categories":5919},[135],{"categories":5921},[135],{"categories":5923},[],{"categories":5925},[157],{"categories":5927},[],{"categories":5929},[],{"categories":5931},[],{"categories":5933},[],{"categories":5935},[135],{"categories":5937},[179],{"categories":5939},[],{"categories":5941},[],{"categories":5943},[135],{"categories":5945},[135],{"categories":5947},[135],{"categories":5949},[223],{"categories":5951},[135],{"categories":5953},[223],{"categories":5955},[],{"categories":5957},[223],{"categories":5959},[223],{"categories":5961},[283],{"categories":5963},[96],{"categories":5965},[157],{"categories":5967},[],{"categories":5969},[],{"categories":5971},[223],{"categories":5973},[157],{"categories":5975},[157],{"categories":5977},[157],{"categories":5979},[],{"categories":5981},[138],{"categories":5983},[157],{"categories":5985},[157],{"categories":5987},[138],{"categories":5989},[157],{"categories":5991},[141],{"categories":5993},[157],{"categories":5995},[157],{"categories":5997},[157],{"categories":5999},[223],{"categories":6001},[179],{"categories":6003},[179],{"categories":6005},[135],{"categories":6007},[157],{"categories":6009},[223],{"categories":6011},[283],{"categories":6013},[223],{"categories":6015},[223],{"categories":6017},[223],{"categories":6019},[],{"categories":6021},[141],{"categories":6023},[],{"categories":6025},[283],{"categories":6027},[157],{"categories":6029},[157],{"categories":6031},[157],{"categories":6033},[96],{"categories":6035},[179,141],{"categories":6037},[223],{"categories":6039},[],{"categories":6041},[],{"categories":6043},[223],{"categories":6045},[],{"categories":6047},[223],{"categories":6049},[179],{"categories":6051},[96],{"categories":6053},[],{"categories":6055},[157],{"categories":6057},[135],{"categories":6059},[220],{"categories":6061},[],{"categories":6063},[135],{"categories":6065},[],{"categories":6067},[179],{"categories":6069},[138],{"categories":6071},[223],{"categories":6073},[],{"categories":6075},[157],{"categories":6077},[179],[6079,6187,6322,6448],{"id":6080,"title":6081,"ai":6082,"body":6087,"categories":6160,"created_at":97,"date_modified":97,"description":89,"extension":98,"faq":97,"featured":99,"kicker_label":97,"meta":6161,"navigation":111,"path":6170,"published_at":6171,"question":97,"scraped_at":6172,"seo":6173,"sitemap":6174,"source_id":6175,"source_name":6176,"source_type":119,"source_url":6177,"stem":6178,"tags":6179,"thumbnail_url":6182,"tldr":6183,"tweet":6184,"unknown_tags":6185,"__hash__":6186},"summaries\u002Fsummaries\u002F79f11dd3e4b705d8-5-essential-concepts-for-modern-ai-agent-architect-summary.md","5 Essential Concepts for Modern AI Agent Architecture",{"provider":7,"model":8,"input_tokens":6083,"output_tokens":6084,"processing_time_ms":6085,"cost_usd":6086},6133,704,3820,0.00258925,{"type":14,"value":6088,"toc":6155},[6089,6093,6096,6119,6123,6126,6140,6144,6147],[17,6090,6092],{"id":6091},"managing-agent-behavior-and-context","Managing Agent Behavior and Context",[22,6094,6095],{},"Modern AI agents require more than just a base LLM to function effectively; they need structured instructions and modular knowledge to operate within specific environments.",[33,6097,6098,6109],{},[36,6099,6100,6103,6104,6108],{},[39,6101,6102],{},"agents.md",": This markdown file acts as a project-specific \"readme\" for agents. Located at the root of a project, it provides the agent with essential context like coding conventions, test commands, and style rules. These files can be nested, with files closer to the working directory overriding those at the root. Similar implementations exist, such as ",[6105,6106,6107],"code",{},"Claude.md",".",[36,6110,6111,6114,6115,6118],{},[39,6112,6113],{},"Agent Skills",": To prevent context window bloat, agents use a modular \"skill\" system. A skill is a folder containing a ",[6105,6116,6117],{},"skill.md"," file (which includes metadata and a description) and necessary scripts. The agent only pulls in these resources when the user's request matches the skill's description, keeping the primary context window clean.",[17,6120,6122],{"id":6121},"interfacing-with-tools-and-other-agents","Interfacing with Tools and Other Agents",[22,6124,6125],{},"Standardized protocols are critical for agents to interact with external systems and other AI entities without requiring custom integrations for every connection.",[33,6127,6128,6134],{},[36,6129,6130,6133],{},[39,6131,6132],{},"Model Context Protocol (MCP)",": An open standard for connecting AI applications to external tools, databases, and SaaS platforms. By using an MCP server, developers can wrap a tool in a standard interface, allowing any MCP-compliant agent to interact with it without needing a bespoke connector.",[36,6135,6136,6139],{},[39,6137,6138],{},"Agent-to-Agent (A2A)",": This protocol enables coordination between different agents. Each agent publishes an \"agent card\"—a description of its capabilities and communication interface. This allows one agent (e.g., a procurement agent) to discover and delegate tasks to another (e.g., a finance agent) seamlessly.",[17,6141,6143],{"id":6142},"scaling-workflows-with-sub-agents","Scaling Workflows with Sub-Agents",[22,6145,6146],{},"When tasks exceed the capacity of a single context window or require parallel processing, developers utilize the sub-agent pattern.",[33,6148,6149],{},[36,6150,6151,6154],{},[39,6152,6153],{},"Sub-Agents",": A parent agent spawns child agents to handle specific, isolated pieces of work. Each sub-agent operates in its own fresh context window, performs its assigned task, and returns a result to the parent. This pattern is essential for managing large codebases or executing independent checks in parallel to improve performance.",{"title":89,"searchDepth":90,"depth":90,"links":6156},[6157,6158,6159],{"id":6091,"depth":90,"text":6092},{"id":6121,"depth":90,"text":6122},{"id":6142,"depth":90,"text":6143},[135],{"content_references":6162,"triage":6168},[6163,6166,6167],{"type":6164,"title":6132,"url":6165,"context":105},"tool","https:\u002F\u002Fmodelcontextprotocol.io\u002F",{"type":103,"title":6102,"context":105},{"type":103,"title":6138,"context":105},{"relevance":107,"novelty":108,"quality":108,"actionability":108,"composite":109,"reasoning":6169},"Category: AI & LLMs. The article provides in-depth insights into modern AI agent architecture, addressing specific pain points such as managing context and interfacing with tools, which are crucial for developers building AI-powered products. It outlines actionable concepts like the Model Context Protocol and agent skills that can be directly applied in real-world projects.","\u002Fsummaries\u002F79f11dd3e4b705d8-5-essential-concepts-for-modern-ai-agent-architect-summary","2026-06-23 11:00:39","2026-06-23 12:56:18",{"title":6081,"description":89},{"loc":6170},"79f11dd3e4b705d8","IBM Technology","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=k5jYwyhDMxA","summaries\u002F79f11dd3e4b705d8-5-essential-concepts-for-modern-ai-agent-architect-summary",[6180,6181,123,126],"llm","automation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fk5jYwyhDMxA\u002Fhqdefault.jpg","Modern AI agents rely on five key standards and patterns—agents.md, agent skills, MCP, A2A, and sub-agents—to manage context, interact with external tools, and coordinate complex workflows.","This video provides a high-level overview of five emerging standards and patterns in agentic AI architecture: `agents.md` for project-specific instructions, agent skills for modular tasks, the [Model Context Protocol](https:\u002F\u002Fmodelcontextprotocol.io\u002F) for tool integration, A2A for inter-agent communication, and the sub-agent pattern for managing complex workflows.",[123,126],"cS8UwJqF2ywT_fdp0eCNy7TrunL5IPQU9buEu09V9ig",{"id":6188,"title":6189,"ai":6190,"body":6195,"categories":6293,"created_at":97,"date_modified":97,"description":89,"extension":98,"faq":97,"featured":99,"kicker_label":97,"meta":6294,"navigation":111,"path":6306,"published_at":6307,"question":97,"scraped_at":6308,"seo":6309,"sitemap":6310,"source_id":6311,"source_name":6312,"source_type":119,"source_url":6313,"stem":6314,"tags":6315,"thumbnail_url":6317,"tldr":6318,"tweet":6319,"unknown_tags":6320,"__hash__":6321},"summaries\u002Fsummaries\u002F7c892869bcc3c947-building-multi-agent-systems-when-to-skip-the-llm-summary.md","Building Multi-Agent Systems: When to Skip the LLM",{"provider":7,"model":8,"input_tokens":6191,"output_tokens":6192,"processing_time_ms":6193,"cost_usd":6194},9218,899,4417,0.003653,{"type":14,"value":6196,"toc":6285},[6197,6201,6204,6212,6218,6222,6225,6229,6264,6268],[17,6198,6200],{"id":6199},"the-hybrid-architecture-determinism-meets-intelligence","The Hybrid Architecture: Determinism Meets Intelligence",[22,6202,6203],{},"Building a multi-agent system often leads to the trap of over-relying on LLMs for every decision. The \"Race Condition\" project demonstrates that the most robust systems are hybrid: they use LLMs for high-level reasoning and judgment, but rely on deterministic code for computationally expensive or mission-critical tasks. By offloading NP-hard problems (like marathon route planning) to established algorithms, the system gains reliability, unit-testability, and massive performance gains.",[17,6205,6207,6208,6211],{"id":6206},"the-before_model_callback-pattern","The ",[6105,6209,6210],{},"before_model_callback"," Pattern",[22,6213,6214,6215,6217],{},"The core technical innovation in this system is the use of the ",[6105,6216,6210],{}," feature within the Google Agent Development Kit (ADK). This allows developers to intercept the agent's lifecycle before the model is ever invoked. By injecting deterministic logic at this stage, the system can return tool calls or state updates immediately, bypassing the LLM entirely. This approach preserves the agent's lifecycle management, telemetry, and observability while eliminating the latency and cost of an LLM call.",[17,6219,6221],{"id":6220},"scaling-to-1000-agents","Scaling to 1,000 Agents",[22,6223,6224],{},"To run 1,000 agents simultaneously, the system treats the simulator as a game server and the runners as independent entities. The runners use an \"Autopilot\" mode—a deterministic heuristic engine derived from research on runner behavior. Because these agents are stateless and run on Cloud Run, the system offloads session state to Redis. This architecture ensures that adding more runners does not increase token consumption, as the AI only performs the initial judgment, while the code handles the execution.",[17,6226,6228],{"id":6227},"key-takeaways","Key Takeaways",[33,6230,6231,6237,6246,6252,6258],{},[36,6232,6233,6236],{},[39,6234,6235],{},"Optimize for the Right Tool:"," Use LLMs for judgment and reasoning; use deterministic algorithms for math, pathfinding, and repetitive procedural tasks.",[36,6238,6239,6242,6243,6245],{},[39,6240,6241],{},"Leverage Callbacks:"," Use interceptors like ",[6105,6244,6210],{}," to bypass LLM calls for known, repeatable workflows while keeping the agent framework's telemetry and lifecycle benefits.",[36,6247,6248,6251],{},[39,6249,6250],{},"Design for Statelessness:"," When scaling to thousands of agents, keep processes stateless and use a shared session store (like Redis) to maintain state across distributed instances.",[36,6253,6254,6257],{},[39,6255,6256],{},"Unit Test Your Logic:"," Deterministic code is unit-testable, whereas LLM outputs are probabilistic. Move critical path logic into code to ensure reliability.",[36,6259,6260,6263],{},[39,6261,6262],{},"Use AI for Algorithm Selection:"," Even if the final implementation is deterministic, use LLMs (via AI Studio or CLI) to research, suggest, and review the best algorithms for your specific constraints.",[17,6265,6267],{"id":6266},"notable-quotes","Notable Quotes",[33,6269,6270,6273,6279,6282],{},[36,6271,6272],{},"\"The real best answers are not to go with full large language models... the routing logic is fully deterministic.\"",[36,6274,6275,6276,6278],{},"\"The model is required by the LLM agent in order to create the object but it's never actually called because the ",[6105,6277,6210],{}," intercepts every invocation.\"",[36,6280,6281],{},"\"It would be easy to write this where you short circuit like tool calling and your callback does all the work by itself but then you lose things like visibility and telemetry.\"",[36,6283,6284],{},"\"The AI decides, the code runs.\"",{"title":89,"searchDepth":90,"depth":90,"links":6286},[6287,6288,6290,6291,6292],{"id":6199,"depth":90,"text":6200},{"id":6206,"depth":90,"text":6289},"The before_model_callback Pattern",{"id":6220,"depth":90,"text":6221},{"id":6227,"depth":90,"text":6228},{"id":6266,"depth":90,"text":6267},[135],{"content_references":6295,"triage":6304},[6296,6300,6302],{"type":6164,"title":6297,"url":6298,"context":6299},"Google Agent Development Kit (ADK)","https:\u002F\u002Fgoo.gle\u002F3PItVzL","recommended",{"type":6164,"title":6301,"context":105},"Google AI Studio",{"type":6164,"title":6303,"context":105},"Redis",{"relevance":107,"novelty":108,"quality":108,"actionability":108,"composite":109,"reasoning":6305},"Category: AI & LLMs. The article provides a detailed exploration of building multi-agent systems, specifically addressing the balance between using LLMs and deterministic code, which is a core concern for developers integrating AI into their products. It offers actionable insights, such as the use of the `before_model_callback` pattern, which developers can implement to optimize their systems.","\u002Fsummaries\u002F7c892869bcc3c947-building-multi-agent-systems-when-to-skip-the-llm-summary","2026-06-06 16:00:20","2026-06-06 16:10:48",{"title":6189,"description":89},{"loc":6306},"7c892869bcc3c947","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Fzd0BWMH65s","summaries\u002F7c892869bcc3c947-building-multi-agent-systems-when-to-skip-the-llm-summary",[6180,6316,123,126],"python","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FFzd0BWMH65s\u002Fhqdefault.jpg","A deep dive into building scalable, cost-effective multi-agent systems by using deterministic code for heavy lifting and LLMs only for high-level judgment, demonstrated through a 1,000-agent marathon simulation.","This video demonstrates how to optimize a multi-agent system by offloading repetitive tasks from an LLM to deterministic code. The presenters walk through a marathon-routing simulation built on the [Google Agent Development Kit (ADK)](https:\u002F\u002Fgoo.gle\u002F3PItVzL), showing how to use a `before_model_callback` to bypass model calls for mechanical processes while maintaining the agentic lifecycle.\n\n- [Github repo](https:\u002F\u002Fgoo.gle\u002Frace-condition) — Source code for the marathon simulation\n- [Previous episode](https:\u002F\u002Fgoo.gle\u002Fmarathonagent) — Context on the initial system architecture\n- [Agent Runtime](https:\u002F\u002Fgoo.gle\u002F4nXDhnX) — Core framework for managing agent execution\n- [Google Cloud Memory Store](https:\u002F\u002Fgoo.gle\u002F4nXxBtT) — Used for scaling stateless sessions via Redis\n- [Agent2Agent Protocol (A2A)](https:\u002F\u002Fgoo.gle\u002F4u5x8HF) — Communication standard for the multi-agent system\n- [Google ADK Community](https:\u002F\u002Fgoo.gle\u002F4ugzmUw) — Resources for the Redis session service implementation",[123,126],"-GxCC5YaNwzF4cfflnCjPdZlokZoy_vVViYIcc705Lg",{"id":6323,"title":6324,"ai":6325,"body":6330,"categories":6421,"created_at":97,"date_modified":97,"description":89,"extension":98,"faq":97,"featured":99,"kicker_label":97,"meta":6422,"navigation":111,"path":6433,"published_at":6434,"question":97,"scraped_at":6435,"seo":6436,"sitemap":6437,"source_id":6438,"source_name":6176,"source_type":119,"source_url":6439,"stem":6440,"tags":6441,"thumbnail_url":6443,"tldr":6444,"tweet":6445,"unknown_tags":6446,"__hash__":6447},"summaries\u002Fsummaries\u002F37f9b90c94bbae2e-the-four-types-of-memory-for-ai-agents-summary.md","The Four Types of Memory for AI Agents",{"provider":7,"model":8,"input_tokens":6326,"output_tokens":6327,"processing_time_ms":6328,"cost_usd":6329},5543,710,3668,0.00245075,{"type":14,"value":6331,"toc":6410},[6332,6336,6339,6343,6348,6351,6355,6361,6365,6372,6376,6383,6387,6390],[17,6333,6335],{"id":6334},"the-coala-framework-for-agentic-memory","The CoALA Framework for Agentic Memory",[22,6337,6338],{},"To move from static chatbots to functional AI agents, developers must implement persistent memory architectures. The CoALA (Cognitive Architectures for Language Agents) framework categorizes these into four distinct types, each serving a specific role in how an agent processes information and improves over time.",[17,6340,6342],{"id":6341},"the-four-memory-architectures","The Four Memory Architectures",[6344,6345,6347],"h3",{"id":6346},"_1-working-memory-context-window","1. Working Memory (Context Window)",[22,6349,6350],{},"This is the agent's immediate, volatile scratchpad. It holds the current conversation, system instructions, and active data. While modern context windows can handle up to a million tokens, they remain limited; stuffing too much information into the context window degrades performance and causes the model to lose track of information buried in the middle.",[6344,6352,6354],{"id":6353},"_2-semantic-memory-knowledge-base","2. Semantic Memory (Knowledge Base)",[22,6356,6357,6358,6360],{},"This stores persistent facts, rules, and conventions. While vector databases and knowledge graphs are common academic implementations, production systems often use simple Markdown files (e.g., ",[6105,6359,6107],{},") placed in project roots. These files provide the agent with architectural context and coding standards, preventing the agent from repeating basic errors across sessions.",[6344,6362,6364],{"id":6363},"_3-procedural-memory-skills","3. Procedural Memory (Skills)",[22,6366,6367,6368,6371],{},"This dictates how an agent performs tasks. Using an open-standard approach, skills are stored as folders containing instructions and metadata. To avoid overwhelming the working memory, agents use ",[39,6369,6370],{},"progressive disclosure",": they load only a lightweight index (name and description) of available skills. The full instructions and dependencies are only pulled into the context window when the agent identifies a task that requires that specific skill.",[6344,6373,6375],{"id":6374},"_4-episodic-memory-distilled-experience","4. Episodic Memory (Distilled Experience)",[22,6377,6378,6379,6382],{},"This is the agent's record of past interactions and decisions. A naive implementation—saving full transcripts—is rarely useful. Effective systems use ",[39,6380,6381],{},"distillation",", where the agent saves only high-value insights (e.g., \"the auth issue was in the middleware layer\") rather than raw logs. This allows the agent to learn and improve over time. However, this is the most difficult to implement, as it requires solving the \"forgetting\" problem: determining when information becomes obsolete or irrelevant.",[17,6384,6386],{"id":6385},"matching-memory-to-agent-complexity","Matching Memory to Agent Complexity",[22,6388,6389],{},"Not every agent requires all four memory types. Complexity should scale with the task:",[33,6391,6392,6398,6404],{},[36,6393,6394,6397],{},[39,6395,6396],{},"Reflex Agents (e.g., simple routers):"," Require only working memory.",[36,6399,6400,6403],{},[39,6401,6402],{},"Narrow Task Agents (e.g., password reset bots):"," Require working memory and procedural memory.",[36,6405,6406,6409],{},[39,6407,6408],{},"Complex Agents (e.g., coding assistants):"," Require all four types to manage product knowledge, specific skills, and long-term project history.",{"title":89,"searchDepth":90,"depth":90,"links":6411},[6412,6413,6420],{"id":6334,"depth":90,"text":6335},{"id":6341,"depth":90,"text":6342,"children":6414},[6415,6417,6418,6419],{"id":6346,"depth":6416,"text":6347},3,{"id":6353,"depth":6416,"text":6354},{"id":6363,"depth":6416,"text":6364},{"id":6374,"depth":6416,"text":6375},{"id":6385,"depth":90,"text":6386},[135],{"content_references":6423,"triage":6431},[6424,6429],{"type":6425,"title":6426,"author":6427,"context":6428},"paper","CoALA: Cognitive Architectures for Language Agents","Sumers et al. (Princeton University)","cited",{"type":6164,"title":6430,"context":105},"Claude Code",{"relevance":107,"novelty":108,"quality":108,"actionability":108,"composite":109,"reasoning":6432},"Category: AI & LLMs. The article provides a detailed exploration of memory architectures for AI agents, directly addressing the audience's need for practical applications in building AI-powered products. It introduces the CoALA framework, which categorizes memory types that can enhance agent functionality, making it actionable for developers looking to implement these concepts.","\u002Fsummaries\u002F37f9b90c94bbae2e-the-four-types-of-memory-for-ai-agents-summary","2026-05-26 11:00:06","2026-05-30 14:01:10",{"title":6324,"description":89},{"loc":6433},"37f9b90c94bbae2e","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=BacJ6sEhqMo","summaries\u002F37f9b90c94bbae2e-the-four-types-of-memory-for-ai-agents-summary",[6180,6442,123,126],"agents","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FBacJ6sEhqMo\u002Fhqdefault.jpg","AI agents move beyond simple chatbots by utilizing four distinct memory architectures—working, semantic, procedural, and episodic—to manage context, knowledge, skills, and past experience.","This video provides a high-level overview of the [CoALA framework](https:\u002F\u002Fibm.biz\u002F~OSlmklt3a), categorizing AI agent memory into four distinct types: working, semantic, procedural, and episodic. It explains how these components function in practice, using examples like Markdown-based knowledge bases and skill indexing to distinguish basic chatbots from persistent agentic systems.",[123,126],"FecDLXacVlpwAuAIbQkqauWYkrYP7MyNrnmX-UF01uE",{"id":6449,"title":6450,"ai":6451,"body":6456,"categories":6542,"created_at":97,"date_modified":97,"description":89,"extension":98,"faq":97,"featured":99,"kicker_label":97,"meta":6543,"navigation":111,"path":6560,"published_at":6561,"question":97,"scraped_at":6562,"seo":6563,"sitemap":6564,"source_id":6565,"source_name":6312,"source_type":119,"source_url":6566,"stem":6567,"tags":6568,"thumbnail_url":6571,"tldr":6572,"tweet":6573,"unknown_tags":6574,"__hash__":6575},"summaries\u002Fsummaries\u002Fb8bd86f99dc8bce7-architecting-codebases-for-ai-agent-readiness-summary.md","Architecting Codebases for AI Agent Readiness",{"provider":7,"model":8,"input_tokens":6452,"output_tokens":6453,"processing_time_ms":6454,"cost_usd":6455},6441,903,4152,0.00296475,{"type":14,"value":6457,"toc":6537},[6458,6462,6465,6489,6493,6496,6510,6514,6517],[17,6459,6461],{"id":6460},"optimizing-codebases-for-agentic-workflows","Optimizing Codebases for Agentic Workflows",[22,6463,6464],{},"To effectively leverage AI agents on existing (Brownfield) projects, developers must shift from writing code for humans to writing code that agents can navigate efficiently.",[33,6466,6467,6477,6483],{},[36,6468,6469,6472,6473,6476],{},[39,6470,6471],{},"Contextual Documentation:"," Implement ",[6105,6474,6475],{},"context.md"," files in every directory. These files should summarize the directory's purpose and list the files contained within, allowing agents to understand the codebase structure without reading every file, which saves context window space and improves performance.",[36,6478,6479,6482],{},[39,6480,6481],{},"Architectural Flattening:"," Move toward horizontal, flatter architectures. This structure allows agents to manage state more effectively and makes it easier for them to refactor code by breaking large files into smaller, modular functions.",[36,6484,6485,6488],{},[39,6486,6487],{},"Testing as a Foundation:"," Robust testing is non-negotiable when using agents. Because agents can generate and modify code rapidly, a strong test suite is the only way to ensure the codebase remains stable during high-velocity AI-assisted development.",[17,6490,6492],{"id":6491},"dynamic-context-management-with-firebase","Dynamic Context Management with Firebase",[22,6494,6495],{},"Managing LLM context windows is critical for performance. Instead of loading an entire codebase into a single prompt, use Firebase and Firestore to create \"sandboxed\" agent skills.",[33,6497,6498,6504],{},[36,6499,6500,6503],{},[39,6501,6502],{},"Dynamic Skill Loading:"," Package specific logic (e.g., \"refund support\" vs. \"upselling\") into discrete skills. By dynamically picking and loading these skills based on the user's current intent, you prevent context pollution and ensure the agent stays focused on the specific task at hand.",[36,6505,6506,6509],{},[39,6507,6508],{},"Automated Metadata Generation:"," Use automated pipelines (e.g., triggering Firestore functions upon file storage uploads) to generate YAML and metadata for these skills. This removes the need to manually write boilerplate logic for every new agent capability.",[17,6511,6513],{"id":6512},"the-shift-to-design-first-engineering","The Shift to Design-First Engineering",[22,6515,6516],{},"As AI tools lower the barrier to implementation, the primary bottleneck has shifted from writing code to defining the problem.",[33,6518,6519,6525,6531],{},[36,6520,6521,6524],{},[39,6522,6523],{},"Prioritize Design:"," Spend approximately 60% of the project lifecycle in the design and research phase. Tools like NotebookLM and the Gemini app are recommended for exploring problem spaces, validating ideas, and creating clear prompts before a single line of code is written.",[36,6526,6527,6530],{},[39,6528,6529],{},"Visual Prototyping:"," Use tools like Stitch to visualize ideas early. If you cannot describe or visually represent an idea clearly, it indicates the concept is not yet well-defined enough for an agent to build.",[36,6532,6533,6536],{},[39,6534,6535],{},"Human Pattern Matching:"," Humans remain superior at pattern matching. When working with agents, actively monitor the file system and streaming output to ensure the agent is adhering to established patterns. If the agent deviates, it is usually a sign that it lacks the necessary context or that the directory-level documentation is insufficient.",{"title":89,"searchDepth":90,"depth":90,"links":6538},[6539,6540,6541],{"id":6460,"depth":90,"text":6461},{"id":6491,"depth":90,"text":6492},{"id":6512,"depth":90,"text":6513},[157],{"content_references":6544,"triage":6558},[6545,6547,6549,6551,6553,6554,6556],{"type":6164,"title":6546,"context":105},"Firebase",{"type":6164,"title":6548,"context":105},"Firestore",{"type":6164,"title":6550,"context":105},"Antigravity",{"type":6164,"title":6552,"context":105},"Gemini",{"type":6164,"title":6301,"context":105},{"type":6164,"title":6555,"context":105},"NotebookLM",{"type":6164,"title":6557,"context":105},"Stitch",{"relevance":107,"novelty":108,"quality":108,"actionability":108,"composite":109,"reasoning":6559},"Category: AI & LLMs. The article provides actionable strategies for optimizing codebases for AI agents, addressing a specific pain point for developers looking to integrate AI into existing projects. It includes practical steps like implementing 'context.md' files and adopting flatter architectures, which are directly applicable to the audience's work.","\u002Fsummaries\u002Fb8bd86f99dc8bce7-architecting-codebases-for-ai-agent-readiness-summary","2026-05-19 16:00:21","2026-05-19 19:00:23",{"title":6450,"description":89},{"loc":6560},"b8bd86f99dc8bce7","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=urBML_2BbD8","summaries\u002Fb8bd86f99dc8bce7-architecting-codebases-for-ai-agent-readiness-summary",[123,6569,126,6570],"firebase","developer-productivity","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FurBML_2BbD8\u002Fhqdefault.jpg","To make existing codebases agent-ready, implement directory-level 'context.md' files, adopt flatter architectural patterns, and prioritize a rigorous design phase over raw coding speed.","This conversation covers strategies for preparing existing codebases for AI agents, specifically by using directory-level `context.md` files to manage context and structuring code to be more modular. The speaker also discusses using [Firebase](https:\u002F\u002Fgoo.gle\u002F4u3McWt) to dynamically serve agent skills and [Google AI Studio](https:\u002F\u002Fgoo.gle\u002F4umgrbO) for prototyping.",[123,6569,126,6570],"7ph5-__9cv6SZBihPz7oNEgaFqZ3jd_QMXlrSRn5CgQ"]