Making Your Codebase AI-Agent Friendly: AGENTS.md and llms.txt Explained

In 2026, a significant percentage of code is being written by AI agents — Codex, Claude Code, Cursor, Copilot. Yet most codebases are still optimized only for human readers. Here is how to make your project discoverable and usable by AI agents. The problem When an AI agent opens your repo, it typically reads: README.md — often marketing-focused, not structured for machines Source files — scattered across dozens of files package.json — minimal metadata The agent has to piece together how your project works from scattered context. This wastes tokens and leads to worse output. AGENTS.md — A guide for AI agents Create an AGENTS.md file at the root of your repo. This is like a README but written specifically for AI coding agents: # AGENTS.md ## What is this project? One paragraph description. ## Project Structure File tree with descriptions of key directories. ## Key Files to Modify Table mapping tasks to specific files. ## Conventions - Styling approach - API patterns - Database access pat