GitHub analyzes 2,500+ repos to summarize top 5 patterns for writing agents.md
bibryam · x · 2026-08-30
GitHub's official blog analyzed over 2,500 agents.md files across public repositories to identify the key patterns for effectively configuring AI agents:
- Put commands early: Place specific instructions at the top.
- Show code, not prose: Use code snippets instead of descriptions to define style.
- Name the exact stack: Specify frameworks and libraries precisely.
- Set clear boundaries: Explicitly define what the agent should not do.
- Cover tests, structure, style, and Git: Include the full workflow context.
The post emphasizes that agents need an operating manual, not a personality. Vague personas like "helpful assistant" often fail, while specific roles (e.g., React test engineer) with clear constraints yield better results.
More from coding & agent
- Connected steps are not a workflow: nobody designs the handoff — usehive · 2026-10-16
- Making Blender animations with Opus, Astra and Argon: how you prompt still matters — chongdashu · 2026-10-16
- Running PolyStrata + Cline coding agent on a $0-fancy laptop at ~90 tok/s — rpwoerk · 2026-10-16
- How do you attribute agent gains: model training or infrastructure? — jrxna · 2026-10-16
- Feed Claude your books, blogs and top engineers' code for claude.md — 'it now writes better code than me' — blaizedsouza · 2026-10-16
- Open-source /label plugin auto-names and colors Claude Code sessions in one step — hermanschutte · 2026-10-16