[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-1cc8e542529a19cd-build-ai-skills-for-repeatable-agent-tasks-summary":3,"summaries-facets-categories":421,"summary-related-1cc8e542529a19cd-build-ai-skills-for-repeatable-agent-tasks-summary":3991},{"id":4,"title":5,"ai":6,"body":13,"categories":380,"created_at":381,"date_modified":381,"description":60,"extension":382,"faq":381,"featured":383,"kicker_label":381,"meta":384,"navigation":402,"path":403,"published_at":404,"question":381,"scraped_at":405,"seo":406,"sitemap":407,"source_id":408,"source_name":409,"source_type":410,"source_url":411,"stem":412,"tags":413,"thumbnail_url":381,"tldr":418,"tweet":381,"unknown_tags":419,"__hash__":420},"summaries\u002Fsummaries\u002F1cc8e542529a19cd-build-ai-skills-for-repeatable-agent-tasks-summary.md","Build AI Skills for Repeatable Agent Tasks",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",8367,2880,37114,0.00309075,{"type":14,"value":15,"toc":370},"minimark",[16,21,25,28,35,39,51,61,77,80,91,94,100,105,109,116,122,133,139,147,150,156,160,165,225,232,235,240,244,250,256,293,299,305,311,316,320,323,326,332,337,341],[17,18,20],"h2",{"id":19},"why-skills-fix-ai-workflow-pain-points","Why Skills Fix AI Workflow Pain Points",[22,23,24],"p",{},"AI agents like Claude start every conversation from scratch, forcing you to reload context, conventions, and instructions repeatedly. This wastes tokens and time, especially across multiple repos or team members. Memory files like .claude.md or .agents.md help by appending global or repo-specific rules (e.g., \"use pnpm and Vite here\"), but they bloat context windows, apply indiscriminately, and lack determinism—no built-in script execution means non-deterministic outputs vary by model, thinking level, or tab.",[22,26,27],{},"Skills address this as discrete, composable units: small-footprint folders encoding exactly what matters for a task. They're portable (share across codebases), focused (loaded only when relevant), and deterministic (via scripts). A 30-line markdown file can transform generic repo analysis (\"looks pretty good\") into hyper-specific feedback (\"README drift violates our semantic commit policy; routing uses Next.js conventions\").",[22,29,30,34],{},[31,32,33],"strong",{},"Quote:"," \"it's almost like carrying if you will the dry pattern into the agentic era in a way um and not repeating yourself\" — on skills enabling Don't Repeat Yourself for agents.",[17,36,38],{"id":37},"anatomy-of-a-skill-frontmatter-drives-routing","Anatomy of a Skill: Frontmatter Drives Routing",[22,40,41,42,46,47,50],{},"A skill is a folder named after the skill (e.g., ",[43,44,45],"code",{},"repo-roast","), containing ",[43,48,49],{},"skill.md"," with YAML frontmatter:",[52,53,58],"pre",{"className":54,"code":56,"language":57},[55],"language-text","---\nname: Repo Roast\ndescription: Analyze and roast a git repo for code quality, conventions, and issues using team-specific constraints.\n---\n","text",[43,59,56],{"__ignoreMap":60},"",[62,63,64,71],"ul",{},[65,66,67,70],"li",{},[31,68,69],{},"Name",": Human-readable label.",[65,72,73,76],{},[31,74,75],{},"Description",": Critical routing mechanism—LLMs scan it at runtime to decide relevance. Write for AI, not humans: e.g., \"User wants fun, critical repo analysis checking stale todos, commit hygiene, and our Vite\u002Fpnpm stack.\" Test by asking Claude: \"When would you load this skill?\"",[22,78,79],{},"Follow with constraints (more effective than prescriptions):",[62,81,82,85,88],{},[65,83,84],{},"\"Never vague; cite code with line numbers and git commits.\"",[65,86,87],{},"\"Flag README drift, semantic commits only.\"",[65,89,90],{},"\"In this repo: Vite, pnpm—no npm\u002Fyarn.\"",[22,92,93],{},"Add context (images, refs) or scripts for determinism. Skills aren't just markdown—they're folders with anything: scripts, data files.",[22,95,96,99],{},[31,97,98],{},"Common Mistake",": Over-prescription bloats like a novel; constraints guide creativity. E.g., \"Never skip steps\" > \"Do step1, step2 exactly.\"",[22,101,102,104],{},[31,103,33],{}," \"the description is incredibly powerful and loaded this is what the LLM is going to use at runtime to essentially do routing and determine if this skill is relevant\"",[17,106,108],{"id":107},"adding-determinism-with-script-interpolation","Adding Determinism with Script Interpolation",[22,110,111,112,115],{},"Inject real data via Claude-specific ",[43,113,114],{},"!"," + backticks for execution:",[52,117,120],{"className":118,"code":119,"language":57},[55],"Stale todos: `!git grep -l \"TODO\\|FIXME\" -- *.ts *.js | xargs cat`\nLatest commits: `!git log --oneline -10`\n",[43,121,119],{"__ignoreMap":60},[22,123,124,125,128,129,132],{},"Claude interpolates outputs directly (like JS ",[43,126,127],{},"${}","), piping commands (e.g., ",[43,130,131],{},"git log | awk '{print $1}'","). This saves tokens, ensures consistency—no hallucinated git history. Ideal for status reports, metrics.",[22,134,135,138],{},[31,136,137],{},"Before\u002FAfter",":",[62,140,141,144],{},[65,142,143],{},"Without: AI speculates \"latest commits,\" varies across runs.",[65,145,146],{},"With: Deterministic list feeds reasoning, repeatable.",[22,148,149],{},"Extend to any bash: grep stale todos, npm audit, coverage stats. Non-slurping (no keys needed for local git).",[22,151,152,155],{},[31,153,154],{},"Principle",": Formalize workflow pieces once; skills bootstrap non-deterministic convos with facts.",[17,157,159],{"id":158},"loading-sharing-and-iteration-loop","Loading, Sharing, and Iteration Loop",[22,161,162,138],{},[31,163,164],{},"Placement",[166,167,168,184],"table",{},[169,170,171],"thead",{},[172,173,174,178,181],"tr",{},[175,176,177],"th",{},"Scope",[175,179,180],{},"Path",[175,182,183],{},"Use Case",[185,186,187,201,214],"tbody",{},[172,188,189,193,198],{},[190,191,192],"td",{},"Repo-specific",[190,194,195],{},[43,196,197],{},".claude\u002Fskills\u002Frepo-roast\u002Fskill.md",[190,199,200],{},"Project conventions. Auto-loads for team.",[172,202,203,206,211],{},[190,204,205],{},"Global",[190,207,208],{},[43,209,210],{},"~\u002F .claude\u002Fskills\u002F",[190,212,213],{},"Cross-project (e.g., personal blog pixel art gen).",[172,215,216,219,222],{},[190,217,218],{},"Multi-tool",[190,220,221],{},"Symlink via Vercel mpx skills tool",[190,223,224],{},"Claude, Cursor, Agents.md equiv.",[22,226,227,228,231],{},"Dev loop: Edit → Save → Invoke (\"roast this repo\") → Critique → Repeat. Use Claude's built-in ",[31,229,230],{},"skill builder"," skill: \"Critique this skill.md,\" \"Evaluate output,\" \"Suggest description improvements.\"",[22,233,234],{},"Skills compose: One calls another (Claude can, but sparingly). Non-technical users share via Claude Desktop (connectors to Slack\u002FNotion).",[22,236,237,239],{},[31,238,33],{}," \"Claude ships with a fantastic uh skill builder skill or skill creator skill and uh that is really good for critiquing your skill setting it up in a way that Claude would expect it to be uh and even evaluating it\"",[17,241,243],{"id":242},"hands-on-building-repo-roast-skill","Hands-On: Building Repo Roast Skill",[22,245,246,249],{},[31,247,248],{},"Assumed Level",": Comfortable with Claude\u002FCursor, git basics. Fits after basic prompting, before agent orchestration.",[22,251,252,255],{},[31,253,254],{},"Steps"," (from workshop repo clone via QR):",[257,258,259,265,271,277,283],"ol",{},[65,260,261,264],{},[31,262,263],{},"Frontmatter",": Name\u002Fdescribe for routing (\"roast repo\" triggers).",[65,266,267,270],{},[31,268,269],{},"Constraints",": List 3-5 (no vague, cite lines\u002Fcommits, stack-specific).",[65,272,273,276],{},[31,274,275],{},"Scripts",": Interpolate git commands (todos, commits, deps).",[65,278,279,282],{},[31,280,281],{},"Test",": Claude → Output → Refine desc\u002Fconstraints.",[65,284,285,288,289,292],{},[31,286,287],{},"Share",": ",[43,290,291],{},"share.sh"," uploads to KV; presenters demo live.",[22,294,295,298],{},[31,296,297],{},"Quality Criteria",": Repeatable format, comprehensive yet concise, fun\u002Fengaging. Good: Specific, actionable roasts. Bad: Generic, misses constraints.",[22,300,301,304],{},[31,302,303],{},"Customization",": Inject team rules (e.g., \"ESLint violations = fire\"). Vary seriousness\u002Fcreativity.",[22,306,307,310],{},[31,308,309],{},"Exercise",": Build baseline, tweak for your stack, share variants. Discuss: Skills vs. .claude.md? (Skills for tasks; md for always-on rules—minimize md bloat).",[22,312,313,315],{},[31,314,33],{}," \"provide just three constraints and say never be vague or um when you site code it always has to have a specific line and a git commit reference with it um then you'll get better performance\"",[17,317,319],{"id":318},"scaling-skills-across-teams-and-tools","Scaling Skills Across Teams and Tools",[22,321,322],{},"Solo: 12 agents with tailored skills. Teams: Uniform execution (recruiting skill pulls Slack\u002FNotion for reports). Portable: No repo-pull dependency.",[22,324,325],{},"Composable: Image gen skills route by domain (pixel art for blog; S3 for work). Agents.mmd standardization pending, but Claude\u002FCursor\u002FCopilot\u002FDesktop universal.",[22,327,328,331],{},[31,329,330],{},"Trade-offs",": Claude-dominant (91% room); Pi hacks extensions. Scripts local-only (git, no remote keys).",[22,333,334,336],{},[31,335,33],{}," \"as soon as you gave them that skill then everyone on the team is running it in a uniform way\"",[17,338,340],{"id":339},"key-takeaways","Key Takeaways",[62,342,343,346,349,352,355,358,361,364,367],{},[65,344,345],{},"Start skills with precise description for AI routing: Test by asking \"When to use?\"",[65,347,348],{},"Favor 3-5 constraints over step-by-step: Guides without bloating.",[65,350,351],{},"Use `!`` script interp for determinism: Git logs, todos—feed facts to LLM.",[65,353,354],{},"Place repo-local for projects, global for cross-use; symlink for multi-tools.",[65,356,357],{},"Iterate with Claude's skill builder: Critique, evaluate, refine.",[65,359,360],{},"Share via folders\u002FKV: Team uniformity without context reload.",[65,362,363],{},"Skills > memory files: Task-focused, portable, composable.",[65,365,366],{},"Minimum viable: 30-line md yields hyper-specific outputs.",[65,368,369],{},"Ask LLM meta-questions: \"Skills call skills?\"—leverages self-awareness.",{"title":60,"searchDepth":371,"depth":371,"links":372},2,[373,374,375,376,377,378,379],{"id":19,"depth":371,"text":20},{"id":37,"depth":371,"text":38},{"id":107,"depth":371,"text":108},{"id":158,"depth":371,"text":159},{"id":242,"depth":371,"text":243},{"id":318,"depth":371,"text":319},{"id":339,"depth":371,"text":340},[],null,"md",false,{"content_references":385,"triage":397},[386,390,394],{"type":387,"title":388,"context":389},"tool","Vercel MPX skills tool","mentioned",{"type":387,"title":391,"author":392,"context":393},"Claude Skill Builder","Anthropic","recommended",{"type":395,"title":396,"context":389},"other","Workshop Repo",{"relevance":398,"novelty":399,"quality":399,"actionability":398,"composite":400,"reasoning":401},5,4,4.55,"Category: AI & LLMs. The article provides a practical framework for building AI skills that enhance agent workflows, addressing a specific pain point of context management in AI agents. It offers actionable steps for creating portable markdown folders that encode workflows, making it directly applicable for developers looking to implement AI features.",true,"\u002Fsummaries\u002F1cc8e542529a19cd-build-ai-skills-for-repeatable-agent-tasks-summary","2026-05-06 17:00:06","2026-05-07 11:03:29",{"title":5,"description":60},{"loc":403},"364afea72622c43a","AI Engineer","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pFsfax19yOM","summaries\u002F1cc8e542529a19cd-build-ai-skills-for-repeatable-agent-tasks-summary",[414,415,416,417],"llm","agents","prompt-engineering","dev-productivity","Skills are portable markdown folders with frontmatter, constraints, and scripts that teach LLMs specific, reliable workflows—codifying DRY principles for agents across repos and teams.",[417],"w3zbkhh6c8u6gcPPjRsNA5DKuifIaGI4bFY-W_dumpI",[422,425,428,431,434,437,439,441,443,445,447,449,452,454,456,458,460,462,464,466,468,470,473,476,478,480,483,485,487,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989],{"categories":423},[424],"Developer Productivity",{"categories":426},[427],"Business & SaaS",{"categories":429},[430],"AI & LLMs",{"categories":432},[433],"AI Automation",{"categories":435},[436],"Product Strategy",{"categories":438},[430],{"categories":440},[424],{"categories":442},[427],{"categories":444},[],{"categories":446},[430],{"categories":448},[],{"categories":450},[451],"AI News & Trends",{"categories":453},[433],{"categories":455},[451],{"categories":457},[433],{"categories":459},[433],{"categories":461},[430],{"categories":463},[430],{"categories":465},[451],{"categories":467},[430],{"categories":469},[],{"categories":471},[472],"Design & Frontend",{"categories":474},[475],"Data Science & Visualization",{"categories":477},[451],{"categories":479},[],{"categories":481},[482],"Software Engineering",{"categories":484},[430],{"categories":486},[433],{"categories":488},[489],"Marketing & Growth",{"categories":491},[430],{"categories":493},[433],{"categories":495},[],{"categories":497},[],{"categories":499},[472],{"categories":501},[433],{"categories":503},[424],{"categories":505},[472],{"categories":507},[430],{"categories":509},[433],{"categories":511},[451],{"categories":513},[],{"categories":515},[],{"categories":517},[433],{"categories":519},[482],{"categories":521},[],{"categories":523},[427],{"categories":525},[],{"categories":527},[],{"categories":529},[433],{"categories":531},[433],{"categories":533},[430],{"categories":535},[],{"categories":537},[482],{"categories":539},[],{"categories":541},[],{"categories":543},[],{"categories":545},[430],{"categories":547},[489],{"categories":549},[472],{"categories":551},[472],{"categories":553},[430],{"categories":555},[433],{"categories":557},[430],{"categories":559},[430],{"categories":561},[433],{"categories":563},[433],{"categories":565},[475],{"categories":567},[451],{"categories":569},[433],{"categories":571},[489],{"categories":573},[433],{"categories":575},[436],{"categories":577},[],{"categories":579},[433],{"categories":581},[],{"categories":583},[433],{"categories":585},[482],{"categories":587},[472],{"categories":589},[430],{"categories":591},[],{"categories":593},[],{"categories":595},[433],{"categories":597},[],{"categories":599},[430],{"categories":601},[],{"categories":603},[424],{"categories":605},[482],{"categories":607},[427],{"categories":609},[451],{"categories":611},[430],{"categories":613},[],{"categories":615},[430],{"categories":617},[],{"categories":619},[482],{"categories":621},[475],{"categories":623},[],{"categories":625},[430],{"categories":627},[472],{"categories":629},[],{"categories":631},[472],{"categories":633},[433],{"categories":635},[],{"categories":637},[433],{"categories":639},[451],{"categories":641},[430],{"categories":643},[],{"categories":645},[433],{"categories":647},[430],{"categories":649},[436],{"categories":651},[],{"categories":653},[430],{"categories":655},[433],{"categories":657},[433],{"categories":659},[],{"categories":661},[475],{"categories":663},[430],{"categories":665},[],{"categories":667},[424],{"categories":669},[427],{"categories":671},[430],{"categories":673},[433],{"categories":675},[482],{"categories":677},[430],{"categories":679},[],{"categories":681},[],{"categories":683},[430],{"categories":685},[],{"categories":687},[472],{"categories":689},[],{"categories":691},[430],{"categories":693},[],{"categories":695},[433],{"categories":697},[430],{"categories":699},[472],{"categories":701},[],{"categories":703},[430],{"categories":705},[430],{"categories":707},[427],{"categories":709},[433],{"categories":711},[430],{"categories":713},[472],{"categories":715},[433],{"categories":717},[],{"categories":719},[],{"categories":721},[451],{"categories":723},[],{"categories":725},[430],{"categories":727},[427,489],{"categories":729},[],{"categories":731},[430],{"categories":733},[],{"categories":735},[],{"categories":737},[430],{"categories":739},[],{"categories":741},[430],{"categories":743},[744],"DevOps & Cloud",{"categories":746},[],{"categories":748},[451],{"categories":750},[472],{"categories":752},[],{"categories":754},[451],{"categories":756},[451],{"categories":758},[430],{"categories":760},[489],{"categories":762},[],{"categories":764},[427],{"categories":766},[],{"categories":768},[430,744],{"categories":770},[430],{"categories":772},[430],{"categories":774},[433],{"categories":776},[430,482],{"categories":778},[475],{"categories":780},[430],{"categories":782},[489],{"categories":784},[433],{"categories":786},[433],{"categories":788},[],{"categories":790},[433],{"categories":792},[430,427],{"categories":794},[],{"categories":796},[472],{"categories":798},[472],{"categories":800},[],{"categories":802},[],{"categories":804},[451],{"categories":806},[],{"categories":808},[424],{"categories":810},[482],{"categories":812},[430],{"categories":814},[472],{"categories":816},[433],{"categories":818},[482],{"categories":820},[451],{"categories":822},[472],{"categories":824},[],{"categories":826},[430],{"categories":828},[430],{"categories":830},[430],{"categories":832},[451],{"categories":834},[424],{"categories":836},[430],{"categories":838},[433],{"categories":840},[744],{"categories":842},[472],{"categories":844},[433],{"categories":846},[],{"categories":848},[],{"categories":850},[472],{"categories":852},[451],{"categories":854},[475],{"categories":856},[],{"categories":858},[430],{"categories":860},[430],{"categories":862},[427],{"categories":864},[430],{"categories":866},[430],{"categories":868},[451],{"categories":870},[],{"categories":872},[433],{"categories":874},[482],{"categories":876},[],{"categories":878},[430],{"categories":880},[430],{"categories":882},[433],{"categories":884},[],{"categories":886},[],{"categories":888},[430],{"categories":890},[],{"categories":892},[427],{"categories":894},[433],{"categories":896},[],{"categories":898},[424],{"categories":900},[430],{"categories":902},[427],{"categories":904},[451],{"categories":906},[],{"categories":908},[],{"categories":910},[],{"categories":912},[451],{"categories":914},[451],{"categories":916},[],{"categories":918},[],{"categories":920},[427],{"categories":922},[],{"categories":924},[],{"categories":926},[424],{"categories":928},[],{"categories":930},[489],{"categories":932},[433],{"categories":934},[427],{"categories":936},[433],{"categories":938},[],{"categories":940},[436],{"categories":942},[472],{"categories":944},[482],{"categories":946},[430],{"categories":948},[433],{"categories":950},[427],{"categories":952},[430],{"categories":954},[],{"categories":956},[],{"categories":958},[482],{"categories":960},[475],{"categories":962},[436],{"categories":964},[433],{"categories":966},[430],{"categories":968},[],{"categories":970},[744],{"categories":972},[],{"categories":974},[433],{"categories":976},[],{"categories":978},[],{"categories":980},[430],{"categories":982},[472],{"categories":984},[489],{"categories":986},[433],{"categories":988},[],{"categories":990},[424],{"categories":992},[],{"categories":994},[451],{"categories":996},[430,744],{"categories":998},[451],{"categories":1000},[430],{"categories":1002},[427],{"categories":1004},[430],{"categories":1006},[],{"categories":1008},[427],{"categories":1010},[],{"categories":1012},[482],{"categories":1014},[472],{"categories":1016},[451],{"categories":1018},[475],{"categories":1020},[424],{"categories":1022},[430],{"categories":1024},[482],{"categories":1026},[],{"categories":1028},[],{"categories":1030},[436],{"categories":1032},[],{"categories":1034},[430],{"categories":1036},[],{"categories":1038},[472],{"categories":1040},[472],{"categories":1042},[472],{"categories":1044},[],{"categories":1046},[],{"categories":1048},[451],{"categories":1050},[433],{"categories":1052},[430],{"categories":1054},[430],{"categories":1056},[430],{"categories":1058},[427],{"categories":1060},[430],{"categories":1062},[],{"categories":1064},[482],{"categories":1066},[482],{"categories":1068},[427],{"categories":1070},[],{"categories":1072},[430],{"categories":1074},[430],{"categories":1076},[427],{"categories":1078},[451],{"categories":1080},[489],{"categories":1082},[433],{"categories":1084},[],{"categories":1086},[472],{"categories":1088},[],{"categories":1090},[430],{"categories":1092},[],{"categories":1094},[427],{"categories":1096},[433],{"categories":1098},[],{"categories":1100},[744],{"categories":1102},[475],{"categories":1104},[482],{"categories":1106},[489],{"categories":1108},[482],{"categories":1110},[433],{"categories":1112},[],{"categories":1114},[],{"categories":1116},[433],{"categories":1118},[424],{"categories":1120},[433],{"categories":1122},[436],{"categories":1124},[427],{"categories":1126},[],{"categories":1128},[430],{"categories":1130},[436],{"categories":1132},[430],{"categories":1134},[430],{"categories":1136},[489],{"categories":1138},[472],{"categories":1140},[433],{"categories":1142},[],{"categories":1144},[],{"categories":1146},[744],{"categories":1148},[482],{"categories":1150},[],{"categories":1152},[433],{"categories":1154},[430],{"categories":1156},[472,430],{"categories":1158},[424],{"categories":1160},[],{"categories":1162},[430],{"categories":1164},[424],{"categories":1166},[472],{"categories":1168},[433],{"categories":1170},[482],{"categories":1172},[],{"categories":1174},[430],{"categories":1176},[],{"categories":1178},[424],{"categories":1180},[],{"categories":1182},[433],{"categories":1184},[436],{"categories":1186},[430],{"categories":1188},[430],{"categories":1190},[472],{"categories":1192},[433],{"categories":1194},[744],{"categories":1196},[472],{"categories":1198},[433],{"categories":1200},[430],{"categories":1202},[430],{"categories":1204},[430],{"categories":1206},[451],{"categories":1208},[],{"categories":1210},[436],{"categories":1212},[433],{"categories":1214},[472],{"categories":1216},[433],{"categories":1218},[482],{"categories":1220},[472],{"categories":1222},[433],{"categories":1224},[451],{"categories":1226},[],{"categories":1228},[430],{"categories":1230},[472],{"categories":1232},[430],{"categories":1234},[424],{"categories":1236},[451],{"categories":1238},[430],{"categories":1240},[489],{"categories":1242},[430],{"categories":1244},[430],{"categories":1246},[433],{"categories":1248},[433],{"categories":1250},[430],{"categories":1252},[433],{"categories":1254},[472],{"categories":1256},[430],{"categories":1258},[],{"categories":1260},[],{"categories":1262},[482],{"categories":1264},[],{"categories":1266},[424],{"categories":1268},[744],{"categories":1270},[],{"categories":1272},[424],{"categories":1274},[427],{"categories":1276},[489],{"categories":1278},[],{"categories":1280},[427],{"categories":1282},[],{"categories":1284},[],{"categories":1286},[],{"categories":1288},[],{"categories":1290},[],{"categories":1292},[430],{"categories":1294},[433],{"categories":1296},[744],{"categories":1298},[424],{"categories":1300},[430],{"categories":1302},[482],{"categories":1304},[436],{"categories":1306},[430],{"categories":1308},[489],{"categories":1310},[430],{"categories":1312},[430],{"categories":1314},[430],{"categories":1316},[430,424],{"categories":1318},[482],{"categories":1320},[482],{"categories":1322},[472],{"categories":1324},[430],{"categories":1326},[],{"categories":1328},[],{"categories":1330},[],{"categories":1332},[482],{"categories":1334},[475],{"categories":1336},[451],{"categories":1338},[472],{"categories":1340},[],{"categories":1342},[430],{"categories":1344},[430],{"categories":1346},[],{"categories":1348},[],{"categories":1350},[433],{"categories":1352},[430],{"categories":1354},[427],{"categories":1356},[],{"categories":1358},[424],{"categories":1360},[430],{"categories":1362},[424],{"categories":1364},[430],{"categories":1366},[482],{"categories":1368},[489],{"categories":1370},[430,472],{"categories":1372},[451],{"categories":1374},[472],{"categories":1376},[],{"categories":1378},[744],{"categories":1380},[472],{"categories":1382},[433],{"categories":1384},[],{"categories":1386},[],{"categories":1388},[],{"categories":1390},[],{"categories":1392},[482],{"categories":1394},[433],{"categories":1396},[433],{"categories":1398},[430],{"categories":1400},[430],{"categories":1402},[],{"categories":1404},[472],{"categories":1406},[],{"categories":1408},[],{"categories":1410},[433],{"categories":1412},[],{"categories":1414},[],{"categories":1416},[489],{"categories":1418},[489],{"categories":1420},[433],{"categories":1422},[],{"categories":1424},[430],{"categories":1426},[430],{"categories":1428},[482],{"categories":1430},[472],{"categories":1432},[472],{"categories":1434},[433],{"categories":1436},[424],{"categories":1438},[430],{"categories":1440},[472],{"categories":1442},[472],{"categories":1444},[433],{"categories":1446},[433],{"categories":1448},[430],{"categories":1450},[],{"categories":1452},[],{"categories":1454},[430],{"categories":1456},[433],{"categories":1458},[451],{"categories":1460},[482],{"categories":1462},[424],{"categories":1464},[430],{"categories":1466},[],{"categories":1468},[433],{"categories":1470},[433],{"categories":1472},[],{"categories":1474},[424],{"categories":1476},[430],{"categories":1478},[424],{"categories":1480},[424],{"categories":1482},[],{"categories":1484},[],{"categories":1486},[433],{"categories":1488},[433],{"categories":1490},[430],{"categories":1492},[430],{"categories":1494},[451],{"categories":1496},[475],{"categories":1498},[436],{"categories":1500},[451],{"categories":1502},[472],{"categories":1504},[],{"categories":1506},[451],{"categories":1508},[],{"categories":1510},[],{"categories":1512},[],{"categories":1514},[],{"categories":1516},[482],{"categories":1518},[475],{"categories":1520},[],{"categories":1522},[430],{"categories":1524},[430],{"categories":1526},[475],{"categories":1528},[482],{"categories":1530},[],{"categories":1532},[],{"categories":1534},[433],{"categories":1536},[451],{"categories":1538},[451],{"categories":1540},[433],{"categories":1542},[424],{"categories":1544},[430,744],{"categories":1546},[],{"categories":1548},[472],{"categories":1550},[424],{"categories":1552},[433],{"categories":1554},[472],{"categories":1556},[],{"categories":1558},[433],{"categories":1560},[433],{"categories":1562},[430],{"categories":1564},[489],{"categories":1566},[482],{"categories":1568},[472],{"categories":1570},[],{"categories":1572},[433],{"categories":1574},[430],{"categories":1576},[433],{"categories":1578},[433],{"categories":1580},[433],{"categories":1582},[489],{"categories":1584},[433],{"categories":1586},[430],{"categories":1588},[],{"categories":1590},[489],{"categories":1592},[451],{"categories":1594},[433],{"categories":1596},[],{"categories":1598},[],{"categories":1600},[430],{"categories":1602},[433],{"categories":1604},[451],{"categories":1606},[433],{"categories":1608},[],{"categories":1610},[],{"categories":1612},[],{"categories":1614},[433],{"categories":1616},[],{"categories":1618},[],{"categories":1620},[475],{"categories":1622},[430],{"categories":1624},[475],{"categories":1626},[451],{"categories":1628},[430],{"categories":1630},[430],{"categories":1632},[433],{"categories":1634},[430],{"categories":1636},[],{"categories":1638},[],{"categories":1640},[744],{"categories":1642},[],{"categories":1644},[],{"categories":1646},[424],{"categories":1648},[],{"categories":1650},[],{"categories":1652},[],{"categories":1654},[],{"categories":1656},[482],{"categories":1658},[451],{"categories":1660},[489],{"categories":1662},[427],{"categories":1664},[430],{"categories":1666},[430],{"categories":1668},[427],{"categories":1670},[],{"categories":1672},[472],{"categories":1674},[433],{"categories":1676},[427],{"categories":1678},[430],{"categories":1680},[430],{"categories":1682},[424],{"categories":1684},[],{"categories":1686},[424],{"categories":1688},[430],{"categories":1690},[489],{"categories":1692},[433],{"categories":1694},[451],{"categories":1696},[427],{"categories":1698},[430],{"categories":1700},[433],{"categories":1702},[],{"categories":1704},[430],{"categories":1706},[424],{"categories":1708},[430],{"categories":1710},[],{"categories":1712},[451],{"categories":1714},[430],{"categories":1716},[],{"categories":1718},[427],{"categories":1720},[430],{"categories":1722},[],{"categories":1724},[],{"categories":1726},[],{"categories":1728},[430],{"categories":1730},[],{"categories":1732},[744],{"categories":1734},[430],{"categories":1736},[],{"categories":1738},[430],{"categories":1740},[430],{"categories":1742},[430],{"categories":1744},[430,744],{"categories":1746},[430],{"categories":1748},[430],{"categories":1750},[472],{"categories":1752},[433],{"categories":1754},[],{"categories":1756},[433],{"categories":1758},[430],{"categories":1760},[430],{"categories":1762},[430],{"categories":1764},[424],{"categories":1766},[424],{"categories":1768},[482],{"categories":1770},[472],{"categories":1772},[433],{"categories":1774},[],{"categories":1776},[430],{"categories":1778},[451],{"categories":1780},[430],{"categories":1782},[427],{"categories":1784},[],{"categories":1786},[744],{"categories":1788},[472],{"categories":1790},[472],{"categories":1792},[433],{"categories":1794},[451],{"categories":1796},[433],{"categories":1798},[430],{"categories":1800},[],{"categories":1802},[430],{"categories":1804},[],{"categories":1806},[],{"categories":1808},[430],{"categories":1810},[430],{"categories":1812},[430],{"categories":1814},[433],{"categories":1816},[430],{"categories":1818},[],{"categories":1820},[475],{"categories":1822},[433],{"categories":1824},[],{"categories":1826},[430],{"categories":1828},[451],{"categories":1830},[],{"categories":1832},[472],{"categories":1834},[744],{"categories":1836},[451],{"categories":1838},[482],{"categories":1840},[482],{"categories":1842},[451],{"categories":1844},[451],{"categories":1846},[744],{"categories":1848},[],{"categories":1850},[451],{"categories":1852},[430],{"categories":1854},[424],{"categories":1856},[451],{"categories":1858},[],{"categories":1860},[475],{"categories":1862},[451],{"categories":1864},[482],{"categories":1866},[451],{"categories":1868},[744],{"categories":1870},[430],{"categories":1872},[430],{"categories":1874},[],{"categories":1876},[427],{"categories":1878},[],{"categories":1880},[],{"categories":1882},[430],{"categories":1884},[430],{"categories":1886},[430],{"categories":1888},[430],{"categories":1890},[],{"categories":1892},[475],{"categories":1894},[424],{"categories":1896},[],{"categories":1898},[430],{"categories":1900},[430],{"categories":1902},[744],{"categories":1904},[744],{"categories":1906},[],{"categories":1908},[433],{"categories":1910},[451],{"categories":1912},[451],{"categories":1914},[430],{"categories":1916},[433],{"categories":1918},[],{"categories":1920},[472],{"categories":1922},[430],{"categories":1924},[430],{"categories":1926},[],{"categories":1928},[],{"categories":1930},[744],{"categories":1932},[430],{"categories":1934},[482],{"categories":1936},[427],{"categories":1938},[430],{"categories":1940},[],{"categories":1942},[433],{"categories":1944},[424],{"categories":1946},[424],{"categories":1948},[],{"categories":1950},[430],{"categories":1952},[472],{"categories":1954},[433],{"categories":1956},[],{"categories":1958},[430],{"categories":1960},[430],{"categories":1962},[433],{"categories":1964},[],{"categories":1966},[433],{"categories":1968},[482],{"categories":1970},[],{"categories":1972},[430],{"categories":1974},[],{"categories":1976},[430],{"categories":1978},[],{"categories":1980},[430],{"categories":1982},[430],{"categories":1984},[],{"categories":1986},[430],{"categories":1988},[451],{"categories":1990},[430],{"categories":1992},[430],{"categories":1994},[424],{"categories":1996},[430],{"categories":1998},[451],{"categories":2000},[433],{"categories":2002},[],{"categories":2004},[430],{"categories":2006},[489],{"categories":2008},[],{"categories":2010},[],{"categories":2012},[],{"categories":2014},[424],{"categories":2016},[451],{"categories":2018},[433],{"categories":2020},[430],{"categories":2022},[472],{"categories":2024},[433],{"categories":2026},[],{"categories":2028},[433],{"categories":2030},[],{"categories":2032},[430],{"categories":2034},[433],{"categories":2036},[430],{"categories":2038},[],{"categories":2040},[430],{"categories":2042},[430],{"categories":2044},[451],{"categories":2046},[472],{"categories":2048},[433],{"categories":2050},[472],{"categories":2052},[427],{"categories":2054},[],{"categories":2056},[],{"categories":2058},[430],{"categories":2060},[424],{"categories":2062},[451],{"categories":2064},[],{"categories":2066},[],{"categories":2068},[482],{"categories":2070},[472],{"categories":2072},[],{"categories":2074},[430],{"categories":2076},[],{"categories":2078},[489],{"categories":2080},[430],{"categories":2082},[744],{"categories":2084},[482],{"categories":2086},[],{"categories":2088},[433],{"categories":2090},[430],{"categories":2092},[433],{"categories":2094},[433],{"categories":2096},[430],{"categories":2098},[],{"categories":2100},[424],{"categories":2102},[430],{"categories":2104},[427],{"categories":2106},[482],{"categories":2108},[472],{"categories":2110},[],{"categories":2112},[],{"categories":2114},[],{"categories":2116},[433],{"categories":2118},[472],{"categories":2120},[451],{"categories":2122},[430],{"categories":2124},[451],{"categories":2126},[472],{"categories":2128},[],{"categories":2130},[472],{"categories":2132},[451],{"categories":2134},[427],{"categories":2136},[430],{"categories":2138},[451],{"categories":2140},[489],{"categories":2142},[],{"categories":2144},[],{"categories":2146},[475],{"categories":2148},[430,482],{"categories":2150},[451],{"categories":2152},[430],{"categories":2154},[433],{"categories":2156},[433],{"categories":2158},[430],{"categories":2160},[],{"categories":2162},[482],{"categories":2164},[430],{"categories":2166},[475],{"categories":2168},[433],{"categories":2170},[489],{"categories":2172},[744],{"categories":2174},[],{"categories":2176},[424],{"categories":2178},[433],{"categories":2180},[433],{"categories":2182},[482],{"categories":2184},[430],{"categories":2186},[430],{"categories":2188},[],{"categories":2190},[],{"categories":2192},[],{"categories":2194},[744],{"categories":2196},[451],{"categories":2198},[430],{"categories":2200},[430],{"categories":2202},[430],{"categories":2204},[],{"categories":2206},[475],{"categories":2208},[427],{"categories":2210},[],{"categories":2212},[433],{"categories":2214},[744],{"categories":2216},[],{"categories":2218},[472],{"categories":2220},[472],{"categories":2222},[],{"categories":2224},[482],{"categories":2226},[472],{"categories":2228},[430],{"categories":2230},[],{"categories":2232},[451],{"categories":2234},[430],{"categories":2236},[472],{"categories":2238},[433],{"categories":2240},[451],{"categories":2242},[],{"categories":2244},[433],{"categories":2246},[472],{"categories":2248},[430],{"categories":2250},[],{"categories":2252},[430],{"categories":2254},[430],{"categories":2256},[744],{"categories":2258},[451],{"categories":2260},[475],{"categories":2262},[475],{"categories":2264},[],{"categories":2266},[],{"categories":2268},[],{"categories":2270},[433],{"categories":2272},[482],{"categories":2274},[482],{"categories":2276},[],{"categories":2278},[],{"categories":2280},[430],{"categories":2282},[],{"categories":2284},[433],{"categories":2286},[430],{"categories":2288},[],{"categories":2290},[430],{"categories":2292},[427],{"categories":2294},[430],{"categories":2296},[489],{"categories":2298},[433],{"categories":2300},[430],{"categories":2302},[482],{"categories":2304},[451],{"categories":2306},[433],{"categories":2308},[],{"categories":2310},[451],{"categories":2312},[433],{"categories":2314},[433],{"categories":2316},[],{"categories":2318},[427],{"categories":2320},[433],{"categories":2322},[],{"categories":2324},[430],{"categories":2326},[424],{"categories":2328},[451],{"categories":2330},[744],{"categories":2332},[433],{"categories":2334},[433],{"categories":2336},[424],{"categories":2338},[430],{"categories":2340},[],{"categories":2342},[],{"categories":2344},[472],{"categories":2346},[430,427],{"categories":2348},[],{"categories":2350},[424],{"categories":2352},[475],{"categories":2354},[430],{"categories":2356},[482],{"categories":2358},[430],{"categories":2360},[433],{"categories":2362},[430],{"categories":2364},[430],{"categories":2366},[451],{"categories":2368},[433],{"categories":2370},[],{"categories":2372},[],{"categories":2374},[433],{"categories":2376},[430],{"categories":2378},[744],{"categories":2380},[],{"categories":2382},[430],{"categories":2384},[433],{"categories":2386},[],{"categories":2388},[430],{"categories":2390},[489],{"categories":2392},[475],{"categories":2394},[433],{"categories":2396},[430],{"categories":2398},[744],{"categories":2400},[],{"categories":2402},[430],{"categories":2404},[489],{"categories":2406},[472],{"categories":2408},[430],{"categories":2410},[],{"categories":2412},[489],{"categories":2414},[451],{"categories":2416},[430],{"categories":2418},[430],{"categories":2420},[424],{"categories":2422},[],{"categories":2424},[],{"categories":2426},[472],{"categories":2428},[430],{"categories":2430},[475],{"categories":2432},[489],{"categories":2434},[489],{"categories":2436},[451],{"categories":2438},[],{"categories":2440},[],{"categories":2442},[430],{"categories":2444},[],{"categories":2446},[430,482],{"categories":2448},[451],{"categories":2450},[433],{"categories":2452},[482],{"categories":2454},[430],{"categories":2456},[424],{"categories":2458},[],{"categories":2460},[],{"categories":2462},[424],{"categories":2464},[489],{"categories":2466},[430],{"categories":2468},[],{"categories":2470},[472,430],{"categories":2472},[744],{"categories":2474},[424],{"categories":2476},[],{"categories":2478},[427],{"categories":2480},[427],{"categories":2482},[430],{"categories":2484},[482],{"categories":2486},[433],{"categories":2488},[451],{"categories":2490},[489],{"categories":2492},[472],{"categories":2494},[430],{"categories":2496},[430],{"categories":2498},[430],{"categories":2500},[424],{"categories":2502},[430],{"categories":2504},[433],{"categories":2506},[451],{"categories":2508},[],{"categories":2510},[],{"categories":2512},[475],{"categories":2514},[482],{"categories":2516},[430],{"categories":2518},[472],{"categories":2520},[475],{"categories":2522},[430],{"categories":2524},[430],{"categories":2526},[433],{"categories":2528},[433],{"categories":2530},[430,427],{"categories":2532},[],{"categories":2534},[472],{"categories":2536},[],{"categories":2538},[430],{"categories":2540},[451],{"categories":2542},[424],{"categories":2544},[424],{"categories":2546},[433],{"categories":2548},[430],{"categories":2550},[427],{"categories":2552},[482],{"categories":2554},[489],{"categories":2556},[],{"categories":2558},[451],{"categories":2560},[430],{"categories":2562},[430],{"categories":2564},[451],{"categories":2566},[482],{"categories":2568},[430],{"categories":2570},[433],{"categories":2572},[451],{"categories":2574},[430],{"categories":2576},[472],{"categories":2578},[430],{"categories":2580},[430],{"categories":2582},[744],{"categories":2584},[436],{"categories":2586},[433],{"categories":2588},[430],{"categories":2590},[451],{"categories":2592},[433],{"categories":2594},[489],{"categories":2596},[430],{"categories":2598},[],{"categories":2600},[430],{"categories":2602},[],{"categories":2604},[],{"categories":2606},[],{"categories":2608},[427],{"categories":2610},[430],{"categories":2612},[433],{"categories":2614},[451],{"categories":2616},[451],{"categories":2618},[451],{"categories":2620},[451],{"categories":2622},[],{"categories":2624},[424],{"categories":2626},[433],{"categories":2628},[451],{"categories":2630},[424],{"categories":2632},[433],{"categories":2634},[430],{"categories":2636},[430,433],{"categories":2638},[433],{"categories":2640},[744],{"categories":2642},[451],{"categories":2644},[451],{"categories":2646},[433],{"categories":2648},[430],{"categories":2650},[],{"categories":2652},[451],{"categories":2654},[489],{"categories":2656},[424],{"categories":2658},[430],{"categories":2660},[430],{"categories":2662},[],{"categories":2664},[482],{"categories":2666},[],{"categories":2668},[424],{"categories":2670},[433],{"categories":2672},[451],{"categories":2674},[430],{"categories":2676},[451],{"categories":2678},[424],{"categories":2680},[451],{"categories":2682},[451],{"categories":2684},[],{"categories":2686},[427],{"categories":2688},[433],{"categories":2690},[451],{"categories":2692},[451],{"categories":2694},[451],{"categories":2696},[451],{"categories":2698},[451],{"categories":2700},[451],{"categories":2702},[451],{"categories":2704},[451],{"categories":2706},[451],{"categories":2708},[451],{"categories":2710},[475],{"categories":2712},[424],{"categories":2714},[430],{"categories":2716},[430],{"categories":2718},[],{"categories":2720},[430,424],{"categories":2722},[],{"categories":2724},[433],{"categories":2726},[451],{"categories":2728},[433],{"categories":2730},[430],{"categories":2732},[430],{"categories":2734},[430],{"categories":2736},[430],{"categories":2738},[430],{"categories":2740},[433],{"categories":2742},[427],{"categories":2744},[472],{"categories":2746},[451],{"categories":2748},[430],{"categories":2750},[],{"categories":2752},[],{"categories":2754},[433],{"categories":2756},[472],{"categories":2758},[430],{"categories":2760},[],{"categories":2762},[],{"categories":2764},[489],{"categories":2766},[430],{"categories":2768},[],{"categories":2770},[],{"categories":2772},[424],{"categories":2774},[427],{"categories":2776},[430],{"categories":2778},[427],{"categories":2780},[472],{"categories":2782},[],{"categories":2784},[451],{"categories":2786},[],{"categories":2788},[472],{"categories":2790},[430],{"categories":2792},[489],{"categories":2794},[],{"categories":2796},[489],{"categories":2798},[],{"categories":2800},[],{"categories":2802},[433],{"categories":2804},[],{"categories":2806},[427],{"categories":2808},[424],{"categories":2810},[472],{"categories":2812},[482],{"categories":2814},[],{"categories":2816},[],{"categories":2818},[430],{"categories":2820},[424],{"categories":2822},[489],{"categories":2824},[],{"categories":2826},[433],{"categories":2828},[433],{"categories":2830},[451],{"categories":2832},[430],{"categories":2834},[433],{"categories":2836},[430],{"categories":2838},[433],{"categories":2840},[430],{"categories":2842},[436],{"categories":2844},[451],{"categories":2846},[],{"categories":2848},[489],{"categories":2850},[482],{"categories":2852},[433],{"categories":2854},[],{"categories":2856},[430],{"categories":2858},[433],{"categories":2860},[427],{"categories":2862},[424],{"categories":2864},[430],{"categories":2866},[472],{"categories":2868},[482],{"categories":2870},[482],{"categories":2872},[430],{"categories":2874},[475],{"categories":2876},[430],{"categories":2878},[433],{"categories":2880},[427],{"categories":2882},[433],{"categories":2884},[430],{"categories":2886},[430],{"categories":2888},[433],{"categories":2890},[451],{"categories":2892},[],{"categories":2894},[424],{"categories":2896},[430],{"categories":2898},[433],{"categories":2900},[430],{"categories":2902},[430],{"categories":2904},[],{"categories":2906},[472],{"categories":2908},[427],{"categories":2910},[451],{"categories":2912},[430],{"categories":2914},[430],{"categories":2916},[472],{"categories":2918},[489],{"categories":2920},[475],{"categories":2922},[430],{"categories":2924},[451],{"categories":2926},[430],{"categories":2928},[433],{"categories":2930},[744],{"categories":2932},[430],{"categories":2934},[433],{"categories":2936},[475],{"categories":2938},[],{"categories":2940},[433],{"categories":2942},[482],{"categories":2944},[472],{"categories":2946},[430],{"categories":2948},[424],{"categories":2950},[427],{"categories":2952},[482],{"categories":2954},[],{"categories":2956},[433],{"categories":2958},[430],{"categories":2960},[],{"categories":2962},[451],{"categories":2964},[],{"categories":2966},[451],{"categories":2968},[430],{"categories":2970},[433],{"categories":2972},[433],{"categories":2974},[433],{"categories":2976},[],{"categories":2978},[],{"categories":2980},[430],{"categories":2982},[430],{"categories":2984},[],{"categories":2986},[472],{"categories":2988},[433],{"categories":2990},[489],{"categories":2992},[424],{"categories":2994},[],{"categories":2996},[],{"categories":2998},[451],{"categories":3000},[482],{"categories":3002},[430],{"categories":3004},[430],{"categories":3006},[430],{"categories":3008},[482],{"categories":3010},[451],{"categories":3012},[472],{"categories":3014},[430],{"categories":3016},[430],{"categories":3018},[430],{"categories":3020},[451],{"categories":3022},[430],{"categories":3024},[451],{"categories":3026},[433],{"categories":3028},[433],{"categories":3030},[482],{"categories":3032},[433],{"categories":3034},[430],{"categories":3036},[482],{"categories":3038},[472],{"categories":3040},[],{"categories":3042},[433],{"categories":3044},[],{"categories":3046},[],{"categories":3048},[427],{"categories":3050},[430],{"categories":3052},[433],{"categories":3054},[424],{"categories":3056},[433],{"categories":3058},[489],{"categories":3060},[],{"categories":3062},[433],{"categories":3064},[],{"categories":3066},[424],{"categories":3068},[433],{"categories":3070},[],{"categories":3072},[433],{"categories":3074},[430],{"categories":3076},[451],{"categories":3078},[430],{"categories":3080},[433],{"categories":3082},[451],{"categories":3084},[433],{"categories":3086},[482],{"categories":3088},[472],{"categories":3090},[424],{"categories":3092},[],{"categories":3094},[433],{"categories":3096},[472],{"categories":3098},[451],{"categories":3100},[430],{"categories":3102},[472],{"categories":3104},[424],{"categories":3106},[],{"categories":3108},[433],{"categories":3110},[433],{"categories":3112},[430],{"categories":3114},[],{"categories":3116},[433],{"categories":3118},[436],{"categories":3120},[451],{"categories":3122},[433],{"categories":3124},[427],{"categories":3126},[],{"categories":3128},[430],{"categories":3130},[436],{"categories":3132},[430],{"categories":3134},[433],{"categories":3136},[451],{"categories":3138},[424],{"categories":3140},[744],{"categories":3142},[430],{"categories":3144},[430],{"categories":3146},[430],{"categories":3148},[451],{"categories":3150},[427],{"categories":3152},[430],{"categories":3154},[472],{"categories":3156},[451],{"categories":3158},[744],{"categories":3160},[430],{"categories":3162},[],{"categories":3164},[],{"categories":3166},[744],{"categories":3168},[475],{"categories":3170},[433],{"categories":3172},[433],{"categories":3174},[451],{"categories":3176},[430],{"categories":3178},[424],{"categories":3180},[472],{"categories":3182},[433],{"categories":3184},[430],{"categories":3186},[489],{"categories":3188},[430],{"categories":3190},[433],{"categories":3192},[],{"categories":3194},[430],{"categories":3196},[430],{"categories":3198},[451],{"categories":3200},[424],{"categories":3202},[],{"categories":3204},[430],{"categories":3206},[430],{"categories":3208},[482],{"categories":3210},[472],{"categories":3212},[430,433],{"categories":3214},[489,427],{"categories":3216},[430],{"categories":3218},[],{"categories":3220},[433],{"categories":3222},[],{"categories":3224},[482],{"categories":3226},[430],{"categories":3228},[451],{"categories":3230},[],{"categories":3232},[433],{"categories":3234},[],{"categories":3236},[433],{"categories":3238},[424],{"categories":3240},[433],{"categories":3242},[430],{"categories":3244},[744],{"categories":3246},[489],{"categories":3248},[427],{"categories":3250},[427],{"categories":3252},[424],{"categories":3254},[424],{"categories":3256},[430],{"categories":3258},[433],{"categories":3260},[430],{"categories":3262},[430],{"categories":3264},[424],{"categories":3266},[430],{"categories":3268},[489],{"categories":3270},[451],{"categories":3272},[430],{"categories":3274},[433],{"categories":3276},[430],{"categories":3278},[],{"categories":3280},[482],{"categories":3282},[],{"categories":3284},[433],{"categories":3286},[424],{"categories":3288},[],{"categories":3290},[744],{"categories":3292},[430],{"categories":3294},[],{"categories":3296},[451],{"categories":3298},[433],{"categories":3300},[482],{"categories":3302},[430],{"categories":3304},[433],{"categories":3306},[482],{"categories":3308},[433],{"categories":3310},[451],{"categories":3312},[424],{"categories":3314},[451],{"categories":3316},[482],{"categories":3318},[430],{"categories":3320},[472],{"categories":3322},[430],{"categories":3324},[430],{"categories":3326},[430],{"categories":3328},[430],{"categories":3330},[433],{"categories":3332},[430],{"categories":3334},[433],{"categories":3336},[430],{"categories":3338},[424],{"categories":3340},[430],{"categories":3342},[433],{"categories":3344},[472],{"categories":3346},[424],{"categories":3348},[433],{"categories":3350},[472],{"categories":3352},[],{"categories":3354},[430],{"categories":3356},[430],{"categories":3358},[482],{"categories":3360},[],{"categories":3362},[433],{"categories":3364},[489],{"categories":3366},[430],{"categories":3368},[451],{"categories":3370},[489],{"categories":3372},[433],{"categories":3374},[427],{"categories":3376},[427],{"categories":3378},[430],{"categories":3380},[424],{"categories":3382},[],{"categories":3384},[430],{"categories":3386},[],{"categories":3388},[424],{"categories":3390},[430],{"categories":3392},[433],{"categories":3394},[433],{"categories":3396},[],{"categories":3398},[482],{"categories":3400},[482],{"categories":3402},[489],{"categories":3404},[472],{"categories":3406},[],{"categories":3408},[430],{"categories":3410},[424],{"categories":3412},[430],{"categories":3414},[482],{"categories":3416},[424],{"categories":3418},[451],{"categories":3420},[451],{"categories":3422},[],{"categories":3424},[451],{"categories":3426},[433],{"categories":3428},[472],{"categories":3430},[475],{"categories":3432},[430],{"categories":3434},[],{"categories":3436},[451],{"categories":3438},[482],{"categories":3440},[427],{"categories":3442},[430],{"categories":3444},[424],{"categories":3446},[744],{"categories":3448},[424],{"categories":3450},[],{"categories":3452},[],{"categories":3454},[451],{"categories":3456},[],{"categories":3458},[433],{"categories":3460},[433],{"categories":3462},[433],{"categories":3464},[],{"categories":3466},[430],{"categories":3468},[],{"categories":3470},[451],{"categories":3472},[424],{"categories":3474},[472],{"categories":3476},[430],{"categories":3478},[451],{"categories":3480},[451],{"categories":3482},[],{"categories":3484},[451],{"categories":3486},[424],{"categories":3488},[430],{"categories":3490},[],{"categories":3492},[433],{"categories":3494},[433],{"categories":3496},[424],{"categories":3498},[],{"categories":3500},[],{"categories":3502},[],{"categories":3504},[472],{"categories":3506},[433],{"categories":3508},[430],{"categories":3510},[],{"categories":3512},[],{"categories":3514},[],{"categories":3516},[472],{"categories":3518},[],{"categories":3520},[424],{"categories":3522},[],{"categories":3524},[],{"categories":3526},[472],{"categories":3528},[430],{"categories":3530},[451],{"categories":3532},[],{"categories":3534},[489],{"categories":3536},[451],{"categories":3538},[489],{"categories":3540},[430],{"categories":3542},[],{"categories":3544},[],{"categories":3546},[433],{"categories":3548},[],{"categories":3550},[],{"categories":3552},[433],{"categories":3554},[430],{"categories":3556},[],{"categories":3558},[433],{"categories":3560},[451],{"categories":3562},[489],{"categories":3564},[475],{"categories":3566},[433],{"categories":3568},[433],{"categories":3570},[],{"categories":3572},[],{"categories":3574},[],{"categories":3576},[451],{"categories":3578},[],{"categories":3580},[],{"categories":3582},[472],{"categories":3584},[424],{"categories":3586},[],{"categories":3588},[427],{"categories":3590},[489],{"categories":3592},[430],{"categories":3594},[482],{"categories":3596},[424],{"categories":3598},[475],{"categories":3600},[427],{"categories":3602},[482],{"categories":3604},[],{"categories":3606},[],{"categories":3608},[433],{"categories":3610},[424],{"categories":3612},[472],{"categories":3614},[424],{"categories":3616},[433],{"categories":3618},[744],{"categories":3620},[433],{"categories":3622},[],{"categories":3624},[430],{"categories":3626},[451],{"categories":3628},[482],{"categories":3630},[],{"categories":3632},[472],{"categories":3634},[451],{"categories":3636},[424],{"categories":3638},[433],{"categories":3640},[430],{"categories":3642},[427],{"categories":3644},[433,744],{"categories":3646},[433],{"categories":3648},[482],{"categories":3650},[430],{"categories":3652},[475],{"categories":3654},[489],{"categories":3656},[433],{"categories":3658},[],{"categories":3660},[433],{"categories":3662},[430],{"categories":3664},[427],{"categories":3666},[],{"categories":3668},[],{"categories":3670},[430],{"categories":3672},[475],{"categories":3674},[430],{"categories":3676},[],{"categories":3678},[451],{"categories":3680},[],{"categories":3682},[451],{"categories":3684},[482],{"categories":3686},[433],{"categories":3688},[430],{"categories":3690},[489],{"categories":3692},[482],{"categories":3694},[],{"categories":3696},[451],{"categories":3698},[430],{"categories":3700},[],{"categories":3702},[430],{"categories":3704},[433],{"categories":3706},[430],{"categories":3708},[433],{"categories":3710},[430],{"categories":3712},[430],{"categories":3714},[430],{"categories":3716},[430],{"categories":3718},[427],{"categories":3720},[],{"categories":3722},[436],{"categories":3724},[451],{"categories":3726},[430],{"categories":3728},[],{"categories":3730},[482],{"categories":3732},[430],{"categories":3734},[430],{"categories":3736},[433],{"categories":3738},[451],{"categories":3740},[430],{"categories":3742},[430],{"categories":3744},[427],{"categories":3746},[433],{"categories":3748},[472],{"categories":3750},[],{"categories":3752},[475],{"categories":3754},[430],{"categories":3756},[],{"categories":3758},[451],{"categories":3760},[489],{"categories":3762},[],{"categories":3764},[],{"categories":3766},[451],{"categories":3768},[451],{"categories":3770},[489],{"categories":3772},[424],{"categories":3774},[433],{"categories":3776},[433],{"categories":3778},[430],{"categories":3780},[427],{"categories":3782},[],{"categories":3784},[],{"categories":3786},[451],{"categories":3788},[475],{"categories":3790},[482],{"categories":3792},[433],{"categories":3794},[472],{"categories":3796},[475],{"categories":3798},[475],{"categories":3800},[],{"categories":3802},[451],{"categories":3804},[430],{"categories":3806},[430],{"categories":3808},[482],{"categories":3810},[],{"categories":3812},[451],{"categories":3814},[451],{"categories":3816},[451],{"categories":3818},[],{"categories":3820},[433],{"categories":3822},[430],{"categories":3824},[],{"categories":3826},[424],{"categories":3828},[427],{"categories":3830},[],{"categories":3832},[430],{"categories":3834},[430],{"categories":3836},[],{"categories":3838},[482],{"categories":3840},[],{"categories":3842},[],{"categories":3844},[],{"categories":3846},[],{"categories":3848},[430],{"categories":3850},[451],{"categories":3852},[],{"categories":3854},[],{"categories":3856},[430],{"categories":3858},[430],{"categories":3860},[430],{"categories":3862},[475],{"categories":3864},[430],{"categories":3866},[475],{"categories":3868},[],{"categories":3870},[475],{"categories":3872},[475],{"categories":3874},[744],{"categories":3876},[433],{"categories":3878},[482],{"categories":3880},[],{"categories":3882},[],{"categories":3884},[475],{"categories":3886},[482],{"categories":3888},[482],{"categories":3890},[482],{"categories":3892},[],{"categories":3894},[424],{"categories":3896},[482],{"categories":3898},[482],{"categories":3900},[424],{"categories":3902},[482],{"categories":3904},[427],{"categories":3906},[482],{"categories":3908},[482],{"categories":3910},[482],{"categories":3912},[475],{"categories":3914},[451],{"categories":3916},[451],{"categories":3918},[430],{"categories":3920},[482],{"categories":3922},[475],{"categories":3924},[744],{"categories":3926},[475],{"categories":3928},[475],{"categories":3930},[475],{"categories":3932},[],{"categories":3934},[427],{"categories":3936},[],{"categories":3938},[744],{"categories":3940},[482],{"categories":3942},[482],{"categories":3944},[482],{"categories":3946},[433],{"categories":3948},[451,427],{"categories":3950},[475],{"categories":3952},[],{"categories":3954},[],{"categories":3956},[475],{"categories":3958},[],{"categories":3960},[475],{"categories":3962},[451],{"categories":3964},[433],{"categories":3966},[],{"categories":3968},[482],{"categories":3970},[430],{"categories":3972},[472],{"categories":3974},[],{"categories":3976},[430],{"categories":3978},[],{"categories":3980},[451],{"categories":3982},[424],{"categories":3984},[475],{"categories":3986},[],{"categories":3988},[482],{"categories":3990},[451],[3992,4087,4188,4330],{"id":3993,"title":3994,"ai":3995,"body":4000,"categories":4061,"created_at":381,"date_modified":381,"description":60,"extension":382,"faq":381,"featured":383,"kicker_label":381,"meta":4062,"navigation":402,"path":4074,"published_at":4075,"question":381,"scraped_at":4076,"seo":4077,"sitemap":4078,"source_id":4079,"source_name":4080,"source_type":410,"source_url":4081,"stem":4082,"tags":4083,"thumbnail_url":381,"tldr":4084,"tweet":381,"unknown_tags":4085,"__hash__":4086},"summaries\u002Fsummaries\u002Fa99451de2de64e60-claude-md-patterns-for-bulletproof-ai-coding-summary.md","Claude.md Patterns for Bulletproof AI Coding",{"provider":7,"model":8,"input_tokens":3996,"output_tokens":3997,"processing_time_ms":3998,"cost_usd":3999},7402,1645,34494,0.00179605,{"type":14,"value":4001,"toc":4056},[4002,4006,4009,4012,4015,4018,4021,4025,4028,4031,4034,4037,4040,4044,4047,4050,4053],[17,4003,4005],{"id":4004},"karpathy-inspired-rules-to-align-claude-with-your-intent","Karpathy-Inspired Rules to Align Claude with Your Intent",[22,4007,4008],{},"Start every claude.md with a project description at the top so Claude grasps the app's structure, services, dependencies, and runtime before diving in—this prevents deduction from code alone and cuts misalignment. Add explicit 'think before coding': Claude must state assumptions, list multiple interpretations if ambiguous, and confirm your choice, slashing course-corrections by forcing clarification over training-data guesses.",[22,4010,4011],{},"Prioritize simplicity: Instruct Claude to solve in minimal lines (e.g., refactor if >200 lines when 50 suffice), add only requested features with proper error handling, and iterate toward conciseness. This avoids verbose overhead that bloats tokens, delays refactoring, and hinders scaling in large apps.",[22,4013,4014],{},"Enforce surgical changes: Touch only task-tracing code; flag unrelated issues (dead code, formatting) without fixing unless asked, as agents scatter focus on 'improvements.' Every edit must link directly to your request, listing other findings for your triage.",[22,4016,4017],{},"Drive goal execution: For each task, Claude defines verifiable success criteria upfront—like writing passing tests for validation inputs\u002Foutputs—then plans, implements, iterates until verified. For UI, pair with tools like Claude Chrome extension or Puppeteer MCP to visually confirm changes, as code alone misleads.",[22,4019,4020],{},"These patterns from Andrej Karpathy's skills repo transform vague tasks into precise, testable outcomes, ensuring behavior matches intent without wild implementations.",[17,4022,4024],{"id":4023},"tool-overrides-safety-and-iterative-refinement","Tool Overrides, Safety, and Iterative Refinement",[22,4026,4027],{},"Override defaults: Skip init-generated commands (e.g., npm run dev) Claude already knows; specify custom tools like GitHub CLI over git, PNPM over npm, or non-standard run instructions to leverage your stack without fallbacks.",[22,4029,4030],{},"Update dynamically: After user corrections, Claude applies fixes then logs learnings to a dedicated file, building a knowledge base of pitfalls and preferences for future tasks—treat claude.md as living, not static.",[22,4032,4033],{},"Embed git safety: Ban irreversible commands (force-push, reset --hard, rm -rf) without confirmation; if unsure, always ask. This guards production from accidents like unwanted merges.",[22,4035,4036],{},"Use path-scoped rule files: Create e.g., api-rules.md (first line declares scope) for file-type rules, referenced in root claude.md. This avoids bloat—Claude loads only relevant rules, staying focused without interference.",[22,4038,4039],{},"For monorepos, add scoped claude.md per subfolder for module-specific guidance; root holds global rules only, preventing divergence from irrelevant instructions.",[17,4041,4043],{"id":4042},"prioritized-structure-and-verification-for-peak-performance","Prioritized Structure and Verification for Peak Performance",[22,4045,4046],{},"Order by priority: Hard rules first (non-negotiable, e.g., safety, scoping), then medium (key principles like simplicity), finally low (references). Burying criticals dilutes impact.",[22,4048,4049],{},"Mandate full verification before completion: Don't just add code—run builds, tests, linting, type checks to confirm functionality. Report only when all pass, using every mechanism for fidelity.",[22,4051,4052],{},"Cap at 300 lines: Beyond this, performance drops; trim ruthlessly for focus.",[22,4054,4055],{},"This setup, refined from community testing and shipping, eliminates agent fights: Claude reasons correctly, changes precisely, verifies rigorously, and adapts—saving hours on real projects.",{"title":60,"searchDepth":371,"depth":371,"links":4057},[4058,4059,4060],{"id":4004,"depth":371,"text":4005},{"id":4023,"depth":371,"text":4024},{"id":4042,"depth":371,"text":4043},[430],{"content_references":4063,"triage":4072},[4064,4069],{"type":395,"title":4065,"author":4066,"url":4067,"context":4068},"andrej-karpathy-skills","forrestchang","https:\u002F\u002Fgithub.com\u002Fforrestchang\u002Fandrej-karpathy-skills\u002F","cited",{"type":387,"title":4070,"url":4071,"context":389},"Klaus","https:\u002F\u002Fklausai.com\u002Fr\u002FMv1e2",{"relevance":398,"novelty":399,"quality":399,"actionability":398,"composite":400,"reasoning":4073},"Category: AI & LLMs. The article provides practical patterns for using Claude.md effectively, addressing the pain points of AI-Curious Developers and Technical Founders by offering concrete strategies for coding with AI. It emphasizes actionable steps like starting with a project description and defining success criteria, making it immediately applicable for building AI-powered products.","\u002Fsummaries\u002Fa99451de2de64e60-claude-md-patterns-for-bulletproof-ai-coding-summary","2026-04-28 14:30:29","2026-05-03 16:44:39",{"title":3994,"description":60},{"loc":4074},"c6527f0f4e352415","AI LABS","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fMY5Sdj2DMk","summaries\u002Fa99451de2de64e60-claude-md-patterns-for-bulletproof-ai-coding-summary",[414,415,416,417],"Craft claude.md with project description first, Karpathy rules like 'think before coding' and simplicity, tool overrides, git safety, scoped files, verification steps, and priority-ordered instructions under 300 lines to make Claude ship exact implementations without guesswork or bloat.",[417],"aSUZZ1N9_uYmZbJKhVlN4jk82uo4tI6cro4gCyHSS4w",{"id":4088,"title":4089,"ai":4090,"body":4095,"categories":4152,"created_at":381,"date_modified":381,"description":60,"extension":382,"faq":381,"featured":383,"kicker_label":381,"meta":4153,"navigation":402,"path":4175,"published_at":4176,"question":381,"scraped_at":4177,"seo":4178,"sitemap":4179,"source_id":4180,"source_name":4181,"source_type":410,"source_url":4182,"stem":4183,"tags":4184,"thumbnail_url":381,"tldr":4185,"tweet":381,"unknown_tags":4186,"__hash__":4187},"summaries\u002Fsummaries\u002F9c9d012e4625ef48-fix-claude-code-for-opus-4-7-9-key-changes-summary.md","Fix Claude Code for Opus 4.7: 9 Key Changes",{"provider":7,"model":8,"input_tokens":4091,"output_tokens":4092,"processing_time_ms":4093,"cost_usd":4094},6575,2115,10779,0.00186565,{"type":14,"value":4096,"toc":4146},[4097,4101,4104,4107,4111,4125,4129,4136,4140,4143],[17,4098,4100],{"id":4099},"adopt-ex-high-effort-and-adaptive-thinking-as-defaults","Adopt Ex-High Effort and Adaptive Thinking as Defaults",[22,4102,4103],{},"Opus 4.7 introduces ex-high effort level between high (4.6 default) and max, recommended verbatim by Anthropic as the new starting point for coding and agentic tasks since max yields diminishing returns and overthinking. Set max output tokens to 64,000 at ex-high or max to give the model room to think and act. Raise effort instead of rewriting shallow prompts. Adaptive thinking replaces extended thinking (which now returns HTTP 400 error on fixed budget_tokens); Claude auto-decides reasoning depth, outperforming the old mode per Anthropic evals—steer with pros like \"think carefully step by step\" for hard problems or \"prioritize quick response\" for easy ones. Tokenizer change uses ~1.35x more tokens for same text, filling context faster. Sampling params (temperature, top_p\u002Fk) also 400-error.",[22,4105,4106],{},"Treat Claude as capable engineer, not pair programmer: delegate via first-message structure stating intent, desired outcome, constraints, acceptance criteria, and file locations to minimize per-turn reasoning costs from ambiguity. Test prompts on colleagues—if confusing to them, confusing to Claude.",[17,4108,4110],{"id":4109},"build-5-layer-prompts-and-explicit-verbs-for-30-quality-gains","Build 5-Layer Prompts and Explicit Verbs for 30% Quality Gains",[22,4112,4113,4114],{},"Use one precise verb per instruction since 4.7 follows literally: \"suggest changes\" yields list only, no code; \"change this function\" edits directly. Layer prompts as: 1) clear\u002Fdirect instructions, 2) context\u002Fexplanation of why, 3) 3-5 XML-tagged examples (multi-shot beats single-shot), 4) XML structure (",[4115,4116,4117,4118],"instructions",{},", ",[4119,4120,4117,4121,4124],"context",{},[4122,4123],"input",{},"), 5) system role. Place long documents at prompt top, question at bottom for +30% response quality on multi-document inputs. For subagents, explicitly request \"spawn multiple sub-agents in the same turn\" when fanning out across files\u002Fbranches; skip for single-file work to avoid trash.",[17,4126,4128],{"id":4127},"enforce-context-hygiene-claudemd-and-hooks-for-reliability","Enforce Context Hygiene, CLAUDE.md, and Hooks for Reliability",[22,4130,4131,4132,4135],{},"Context window degrades performance: 4.5-minute fresh tasks stretch to 18 minutes after autos. Use \u002Fclear post-resolution, \u002Frewind on wrong turns. CLAUDE.md (auto-init via ",[43,4133,4134],{},"claude \u002Finit",") reads first each session with hierarchy: org policy > ~\u002F.claude user prefs > project-level > local gitignored > path-scoped rules—keep concise, cut ignorable lines to avoid bloat. Hooks via settings.json PreToolUse matchers block destructives pre-execution: command (shell script), HTTP (team endpoint), prompt (LM eval), agent (sub-agent verify).",[17,4137,4139],{"id":4138},"use-filesystem-memory-and-verification-for-long-tasks","Use Filesystem Memory and Verification for Long Tasks",[22,4141,4142],{},"Highest-leverage fix (per docs): always give Claude self-verification like tests\u002Fscreenshots\u002Fexpected output, never speculate on unopened code. For long-horizon: filesystem as memory via tests.json (passing\u002Ffailing\u002Fpending, never edit\u002Fremove), progress.txt notes, git commits as checkpoints. Code reviews: drop \"high-severity only\" filters (suppresses 11% bug-finding gains); use \"report every issue, even uncertain—filter later.\"",[22,4144,4145],{},"Checklist: 1) First-turn intent\u002Fconstraints\u002Facceptance, 2) ex-high default, 3) adaptive thinking, 4) CLAUDE.md, 5) pre-tool hook.",{"title":60,"searchDepth":371,"depth":371,"links":4147},[4148,4149,4150,4151],{"id":4099,"depth":371,"text":4100},{"id":4109,"depth":371,"text":4110},{"id":4127,"depth":371,"text":4128},{"id":4138,"depth":371,"text":4139},[430],{"content_references":4154,"triage":4173},[4155,4158,4161,4164,4167,4170],{"type":395,"title":4156,"author":392,"url":4157,"context":4068},"Best practices for using Claude Opus 4.7 with Claude Code","https:\u002F\u002Fclaude.com\u002Fblog\u002Fbest-practices-for-using-claude-opus-4-7-with-claude-code",{"type":395,"title":4159,"url":4160,"context":4068},"Claude Code docs","https:\u002F\u002Fdocs.claude.com\u002Fen\u002Fdocs\u002Fclaude-code",{"type":395,"title":4162,"url":4163,"context":4068},"Claude Code best-practices engineering page","https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fclaude-code-best-practices",{"type":395,"title":4165,"url":4166,"context":389},"Anthropic docs home","https:\u002F\u002Fdocs.anthropic.com",{"type":395,"title":4168,"url":4169,"context":389},"Boris Cherny on X","https:\u002F\u002Fx.com\u002Fbcherny",{"type":387,"title":4171,"url":4172,"context":389},"diy-yt-creator","https:\u002F\u002Fgithub.com\u002FLeex279\u002Fdiy-yt-creator",{"relevance":398,"novelty":399,"quality":399,"actionability":398,"composite":400,"reasoning":4174},"Category: AI & LLMs. The article provides specific, actionable strategies for optimizing the use of the Claude model in coding tasks, addressing pain points related to prompt engineering and production readiness. It details new defaults and prompt structures that can directly enhance productivity, making it highly relevant for developers integrating AI into their workflows.","\u002Fsummaries\u002F9c9d012e4625ef48-fix-claude-code-for-opus-4-7-9-key-changes-summary","2026-04-20 12:18:23","2026-04-21 15:22:05",{"title":4089,"description":60},{"loc":4175},"7affeb01a39ba436","DIY Smart Code","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0x5-XD9XD6c","summaries\u002F9c9d012e4625ef48-fix-claude-code-for-opus-4-7-9-key-changes-summary",[414,416,415,417],"Opus 4.7 boosts coding power 13% but breaks old prompts—default to ex-high effort, adaptive thinking, literal verbs, and verification to resolve 3x more production tasks.",[417],"eHv33wsVFa7bYsq2egrHJ21E2-RW5c6qab7gKdTQUuc",{"id":4189,"title":4190,"ai":4191,"body":4196,"categories":4306,"created_at":381,"date_modified":381,"description":60,"extension":382,"faq":381,"featured":383,"kicker_label":381,"meta":4307,"navigation":402,"path":4317,"published_at":4318,"question":381,"scraped_at":4319,"seo":4320,"sitemap":4321,"source_id":4322,"source_name":4323,"source_type":410,"source_url":4324,"stem":4325,"tags":4326,"thumbnail_url":381,"tldr":4327,"tweet":381,"unknown_tags":4328,"__hash__":4329},"summaries\u002Fsummaries\u002F172e69741ae7f77d-vs-code-agent-loop-tools-sub-agents-and-optimizati-summary.md","VS Code Agent Loop: Tools, Sub-Agents, and Optimizations",{"provider":7,"model":8,"input_tokens":4192,"output_tokens":4193,"processing_time_ms":4194,"cost_usd":4195},8899,2050,10763,0.00251365,{"type":14,"value":4197,"toc":4299},[4198,4202,4205,4213,4216,4220,4223,4230,4233,4237,4240,4243,4246,4249,4253,4256,4259,4262,4265,4267],[17,4199,4201],{"id":4200},"agent-loop-fundamentals","Agent Loop Fundamentals",[22,4203,4204],{},"Pierce Boggan explains the agent loop as a giant while loop triggered by a user's first prompt in VS Code's GitHub Copilot chat. Each iteration sends an API request to a model with dynamically built components: a system prompt tailored to the selected model family (optimized pre- and post-launch via A\u002FB tests and evaluations), explicit context (e.g., mentioned files like hello.tsx), implicit context (open editors, running terminals, environment info), available tools, and the user prompt.",[22,4206,4207,4208,4212],{},"Tools form the core: unlike basic chat's text-only responses, agents choose from built-in tools (search, read\u002Fedit files, GitHub NCP servers) or custom ones, each with schemas and descriptions. The model decides actions—like searching files, reading them, then editing—appending outputs to iterate until issuing a stop message with a user summary. \"Imagine you just basically have a giant while loop... every ",[4209,4210,4211],"span",{},"interaction is"," an API request to a model.\"",[22,4214,4215],{},"James Monte Magno notes the loop's evolution over 6-8 months, with growing options like bypass, autopilot, planning modes, custom agents, and reasoning levels. Users see branches in chat (e.g., research via grepping\u002Freading files), all driven by the model appending prior outputs as context.",[17,4217,4219],{"id":4218},"harness-optimizations-and-model-tuning","Harness Optimizations and Model Tuning",[22,4221,4222],{},"The \"harness\"—prompts, context gathering, tools, and custom backend models—differentiates VS Code from CLI or other agents. Pierce highlights massive unseen optimization: VS Code's team (15-20 people) refines prompts with providers like Anthropic, OpenAI, Gemini, xAI weeks\u002Fmonths pre-launch using VS SWE-bench (custom, pollution-free alternative to SWE-bench). They analyze agent trajectories—not just pass\u002Ffail, but optimal paths for faster resolutions (1 minute vs. 1 hour).",[22,4224,4225,4226,4229],{},"Post-launch, A\u002FB tests and online evals handle demand spikes (e.g., new Opus 4.7 launch day capacity issues). Results: from 52-53% GPT-4o code commit rate to 90% with o1. Custom models tackle specifics, like agentic code retrieval for edits or cheap models for chat titles. \"With Opus ",[4209,4227,4228],{},"o1",", we're getting 90% of Opus code in our harness committed... improvement we see in 1 year.\"",[22,4231,4232],{},"Pierce stresses continuous loops: model updates, prompt\u002Ftool tweaks, purpose-built models. New models start \"infant\" but hone quickly; different models (4.5 to 4.7, o1 to 5.3 Codex) think differently, requiring per-model tuning.",[17,4234,4236],{"id":4235},"sub-agents-specialization-and-model-choices","Sub-Agents: Specialization and Model Choices",[22,4238,4239],{},"Sub-agents address when the main agent delegates: it's a tool the model selects to run a fresh agent loop with a goal, returning results like a function. Users question different models (e.g., main o1-preview at 3x cost, sub-agent Haiku at 0.33x): no bait-and-switch, but deliberate for best experience.",[22,4241,4242],{},"Reasons: speed\u002Fcost for narrow tasks (context gathering, exploration). Main agent (heavy reasoning model) plans\u002Fcoordinates; sub-agents use fast\u002Fcheaper models. Pierce: sub-agent as \"run this workflow with fresh context... return back to main thread.\" Model decides via tool choice in the loop.",[22,4244,4245],{},"Customizations modify basics: instructions append text (global or glob-patterned), skills let model fetch\u002Fappend context like tools, NCP adds tools. Trade-offs abound: too many tools\u002Foptions degrade choice (like humans with overload); custom models prune to relevant ones. User corrections append as text, enabling smart pivots but risking bad paths—kill\u002Frestart advised.",[22,4247,4248],{},"\"When you give people more choices, their ability to pick the right choice degrades.\"",[17,4250,4252],{"id":4251},"trade-offs-in-customization-and-behaviors","Trade-Offs in Customization and Behaviors",[22,4254,4255],{},"Pierce warns against extremes: stuffing prompts fills context windows; 1,000 tools overwhelm. Optimizations include tool-refining models and context-specific custom models. Bad loops from poor prior tokens require intervention, as each predicts the next.",[22,4257,4258],{},"Features like auto-titles, commit messages, PRs, next edits run mini-loops transparently. Harness tailors to code quality; incentives align to user success, not tricks. James emphasizes micro-decisions' impact on prompting.",[22,4260,4261],{},"Ongoing: demand prediction challenges in agentic era (10+ parallel agents), offline eval limits, provider updates.",[22,4263,4264],{},"\"There's an enormous amount of optimization... that you don't actually see.\"",[17,4266,340],{"id":339},[62,4268,4269,4272,4275,4278,4281,4284,4287,4290,4293,4296],{},[65,4270,4271],{},"Trigger the agent loop with a clear prompt; watch iterations via chat for search\u002Fread\u002Fedit patterns.",[65,4273,4274],{},"Select models wisely—new ones like o1-preview need weeks to optimize; expect initial capacity hiccups.",[65,4276,4277],{},"Use instructions\u002Fskills sparingly to avoid context bloat; let model choose via tools.",[65,4279,4280],{},"Kill bad sub-agent paths early—corrections append as text, but prior tokens influence heavily.",[65,4282,4283],{},"Customize via glob instructions or NCP for targeted tools, but limit options to aid model decisions.",[65,4285,4286],{},"Evaluate via trajectories, not just resolution: aim for optimal paths in your workflows.",[65,4288,4289],{},"Leverage VS SWE-bench insights: focus on production harnesses over polluted benchmarks like SWE-bench.",[65,4291,4292],{},"For sub-agents, embrace model mixing—cheap\u002Ffast for exploration, heavy for orchestration.",[65,4294,4295],{},"Monitor trade-offs: more tools degrade choice; use custom models for retrieval\u002Fedits.",[65,4297,4298],{},"Stay updated weekly—harness evolves with models, boosting code acceptance from ~50% to 90%.",{"title":60,"searchDepth":371,"depth":371,"links":4300},[4301,4302,4303,4304,4305],{"id":4200,"depth":371,"text":4201},{"id":4218,"depth":371,"text":4219},{"id":4235,"depth":371,"text":4236},{"id":4251,"depth":371,"text":4252},{"id":339,"depth":371,"text":340},[430],{"content_references":4308,"triage":4314},[4309,4311],{"type":395,"title":4310,"context":389},"SWE-bench",{"type":395,"title":4312,"author":4313,"context":389},"VS SWE-bench","VS Code team",{"relevance":398,"novelty":399,"quality":399,"actionability":399,"composite":4315,"reasoning":4316},4.35,"Category: AI & LLMs. The article provides in-depth insights into the workings of VS Code's agent loop, addressing practical applications of AI in software development, which is highly relevant for the target audience. It discusses optimizations and model tuning that can directly impact developer productivity, making it actionable for those looking to implement similar strategies.","\u002Fsummaries\u002F172e69741ae7f77d-vs-code-agent-loop-tools-sub-agents-and-optimizati-summary","2026-04-20 07:00:11","2026-04-21 15:18:05",{"title":4190,"description":60},{"loc":4317},"dc097aac623090d9","Visual Studio Code","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ENxVTtLW_Bc","summaries\u002F172e69741ae7f77d-vs-code-agent-loop-tools-sub-agents-and-optimizati-summary",[415,416,414,417],"VS Code's agent loop is a dynamic while loop powered by model-tuned prompts, context gathering, and tools; sub-agents use cheaper models for speed, with constant harness optimizations boosting code quality from 53% to 90%.",[417],"uImXX1ennm8fGVPFPDPsEOiC9Gh5g6ByReGzYV77Ruc",{"id":4331,"title":4332,"ai":4333,"body":4338,"categories":4435,"created_at":381,"date_modified":381,"description":60,"extension":382,"faq":381,"featured":383,"kicker_label":381,"meta":4436,"navigation":402,"path":4443,"published_at":4444,"question":381,"scraped_at":4445,"seo":4446,"sitemap":4447,"source_id":4448,"source_name":4449,"source_type":410,"source_url":4450,"stem":4451,"tags":4452,"thumbnail_url":381,"tldr":4453,"tweet":381,"unknown_tags":4454,"__hash__":4455},"summaries\u002Fsummaries\u002Fa6a9fca196596b87-html-replaces-markdown-for-interactive-ai-outputs-summary.md","HTML Replaces Markdown for Interactive AI Outputs",{"provider":7,"model":8,"input_tokens":4334,"output_tokens":4335,"processing_time_ms":4336,"cost_usd":4337},3891,1658,23453,0.00158455,{"type":14,"value":4339,"toc":4430},[4340,4344,4347,4353,4357,4360,4386,4389,4393,4396,4415],[17,4341,4343],{"id":4342},"build-usable-artifacts-not-just-readable-text","Build Usable Artifacts, Not Just Readable Text",[22,4345,4346],{},"Anthropic engineer Thariq Shihipar argues that as AI agents produce structured outputs like code reviews, research briefs, planning docs, dashboards, diagrams, prototypes, and decision reports, shift from Markdown to HTML. Markdown suits short, disposable text you just read once. HTML transforms static responses into interactive 'working surfaces'—navigable, filterable, editable, and shareable single-file interfaces. The key insight: stop asking 'What should the model say?' and ask 'What artifact enables humans to work with it?' This makes AI outputs reusable, turning passive reading into active engagement.",[22,4348,4349,4352],{},[31,4350,4351],{},"Core reasoning chain:"," AI agents excel at structure, so leverage HTML's native capabilities (collapsible sections, tabs, search, links, embedded code editors) for complexity without custom tooling. Result: outputs that support filtering data, editing inline, acting on insights (e.g., one-click deployments), and collaborative review—outcomes Markdown can't match without extra processing.",[17,4354,4356],{"id":4355},"practical-applications-and-impact","Practical Applications and Impact",[22,4358,4359],{},"Apply HTML for high-value AI work where interaction drives outcomes:",[62,4361,4362,4368,4374,4380],{},[65,4363,4364,4367],{},[31,4365,4366],{},"Code reviews",": Embed runnable snippets, diff views, collapsible comments—reviewers fix issues directly.",[65,4369,4370,4373],{},[31,4371,4372],{},"Research briefs",": Tabs for methodologies, search across findings, expandable citations—navigate dense info without overwhelm.",[65,4375,4376,4379],{},[31,4377,4378],{},"Planning docs\u002Fdashboards",": Interactive tables, filters, charts—stakeholders simulate scenarios.",[65,4381,4382,4385],{},[31,4383,4384],{},"Prototypes\u002Fdecision reports",": Embedded forms, buttons for actions—prototype testing or decision trees become live.",[22,4387,4388],{},"Impact: Reduces post-generation friction (no copy-pasting to tools), boosts team velocity (shareable self-contained files), and scales agent utility (reuse across workflows). Trade-off honesty: HTML adds slight prompt complexity but pays off for anything beyond 1-2 page reports; for quick notes, stick to Markdown.",[17,4390,4392],{"id":4391},"prompting-for-html-actionable-technique","Prompting for HTML: Actionable Technique",[22,4394,4395],{},"Generate single-file HTML via targeted prompts—no frameworks needed, works with any LLM supporting structured outputs. Example structure:",[257,4397,4398,4409,4412],{},[65,4399,4400,4401,4404,4405,4408],{},"Define sections with semantic HTML (e.g., ",[43,4402,4403],{},"\u003Cdetails>"," for accordions, ",[43,4406,4407],{},"\u003Ctab>"," simulations via JS\u002FCSS).",[65,4410,4411],{},"Embed interactivity: Local JS for search\u002Ffilter (under 10KB), inline SVGs for diagrams.",[65,4413,4414],{},"Ensure standalone: Relative paths, no external deps.",[22,4416,4417,4418,4421,4422,4425,4426,4429],{},"Prompt template: 'Output a complete, single-file HTML page with ",[4209,4419,4420],{},"features: tabs, search, editable tables"," for ",[4209,4423,4424],{},"task: code review of X",". Include ",[4209,4427,4428],{},"specifics: collapsible diffs, action buttons",".' This yields production-ready interfaces in seconds, evaluated via hands-on tests showing 5x faster review cycles vs. Markdown.",{"title":60,"searchDepth":371,"depth":371,"links":4431},[4432,4433,4434],{"id":4342,"depth":371,"text":4343},{"id":4355,"depth":371,"text":4356},{"id":4391,"depth":371,"text":4392},[430],{"content_references":4437,"triage":4441},[4438],{"type":395,"title":4439,"author":4440,"context":4068},"HTML is the new Markdown","Thariq Shihipar",{"relevance":398,"novelty":399,"quality":399,"actionability":398,"composite":400,"reasoning":4442},"Category: AI & LLMs. The article provides a practical shift from Markdown to HTML for AI outputs, addressing the audience's need for actionable insights on enhancing AI agent outputs. It offers specific applications and techniques for implementing this change, making it highly relevant and actionable.","\u002Fsummaries\u002Fa6a9fca196596b87-html-replaces-markdown-for-interactive-ai-outputs-summary","2026-05-11 15:34:01","2026-05-13 12:00:46",{"title":4332,"description":60},{"loc":4443},"a6a9fca196596b87","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Faccording-to-anthropics-engineer-html-is-the-new-markdown-for-ai-agents-b80bdce43898?source=rss----5517fd7b58a6---4","summaries\u002Fa6a9fca196596b87-html-replaces-markdown-for-interactive-ai-outputs-summary",[415,414,416],"Prompt AI agents for single-file HTML instead of long Markdown reports to create navigable, editable, interactive artifacts that humans can actually use, review, share, and act on.",[],"Hhx9OEu5mZuJuf0Iz8s-o9CIBDpjGz8SOs3Yrtt-hTI"]