The Performance Blind Spot: AI Agents Write Slow Code
118 functions with slowdowns from 3x to 446x in two Claude Code PRs. AI agents optimize for correctness, not performance — here's the data.
AI EngineeringThoughts on design, development, AI infrastructure, and building products.
118 functions with slowdowns from 3x to 446x in two Claude Code PRs. AI agents optimize for correctness, not performance — here's the data.
AI EngineeringBuild custom Claude Code skills that auto-activate based on context. Step-by-step tutorial covering SKILL.md structure, frontmatter, LLM-based matching, and team sharing via git.
AI DevelopmentAnthropic analyzed 9,830 conversations. Iterative refinement doubles fluency markers. Polished outputs suppress evaluation. Quality hooks force iteration.
AI EngineeringContext engineering is the highest-impact skill in agent development. Three compression layers turn a 200K token window from liability into advantage.
AI & TechnologySeven named failure modes from 500+ autonomous agent sessions. Each has a detection signal, a real example, and a concrete fix. The taxonomy HN asked for.
AI EngineeringUse official docs for setup; use Blake's reference for architecture, safety, extensibility, and 36 blind duel results.
AI DevelopmentA 7B model with sparse expert access matches agents 50x its size. Route routine work to small models and judgment calls to frontier models.
AI & TechnologyThree top HN Claude Code threads converge on one conclusion: CLI-first architecture is cheaper, faster, and more composable than IDE agent workflows.
AI & TechnologyClaude Code is not an IDE feature. It is infrastructure. 84 hooks, 48 skills, 19 agents, and 15,000 lines of orchestration prove the point.
AI & TechnologyYou cannot debias yourself by trying harder. 10 AI agents debating each other is a structural intervention for better decisions.
AI EngineeringClaude Code vs Codex CLI, scored blind on 5 dimensions across 36 duels. The winner matters less than the synthesis combining both agents' strongest ideas.
AI Engineering121,000 developers surveyed, 92.6% using AI tools, productivity stuck at 10%. The wall is infrastructure, not intelligence. Three root causes and fixes.
AI EngineeringTechnical writing at Introl
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