AGENTS.md Patterns: What Actually Changes Agent Behavior
Which AGENTS.md patterns actually change agent behavior? Anti-patterns to avoid, patterns that work, and a cross-tool compatibility matrix for 8 tools.
AI DevelopmentThoughts on design, development, AI infrastructure, and building products.
Which AGENTS.md patterns actually change agent behavior? Anti-patterns to avoid, patterns that work, and a cross-tool compatibility matrix for 8 tools.
AI DevelopmentBuild a code review skill from scratch. Covers directory structure, frontmatter fields, LLM-based matching, context budgets, and auto-activation.
AI Development118 functions with slowdowns from 3x to 446x in two Claude Code PRs. AI agents optimize for correctness, not performance. The data on why, and what to build.
AI EngineeringThree top HN Claude Code threads converge on one conclusion: CLI-first architecture is cheaper, faster, and more composable than IDE agent workflows.
AI & TechnologyA 7B model with sparse expert access matches agents 50x its size. Route routine work to small models and judgment calls to frontier models.
AI & TechnologyArchitecture, safety, and extensibility compared side-by-side. Includes a decision framework based on 36 blind duels and daily production use of both.
AI DevelopmentSeven 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 EngineeringAnthropic 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 & 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 & TechnologyClaude 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 EngineeringYou cannot debias yourself by trying harder. 10 AI agents debating each other is a structural intervention for better decisions.
AI EngineeringTechnical writing at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.