Making Your Codebase AI-Agent Friendly: AGENTS.md and llms.txt Explained
The article discusses how to make your project more discoverable and usable by AI agents through the use of AGENTS.md and llms.txt files.
Why it matters
As AI agents become more prevalent in code generation, making your codebase agent-friendly can improve their output and increase the chances of your project being recommended.
Key Points
- 1AGENTS.md provides a guide for AI agents, including project structure, key files to modify, and common tasks
- 2llms.txt is an emerging standard that helps AI agents understand what your product does
- 3Agent-friendly projects can get better output from AI agents and be recommended more often
Details
As AI agents write more code, it's important to optimize your codebase for their use. The article explains that most codebases are still focused on human readers, making it difficult for AI agents to understand how the project works. To address this, the author recommends creating an AGENTS.md file that provides a structured guide for AI agents, including project structure, task-to-file mappings, and coding conventions. Additionally, the article introduces llms.txt, an emerging standard similar to robots.txt, which helps AI agents understand the purpose and use cases of your product. By implementing these practices, projects can get better output from AI agents and be recommended more often, which the author calls the new SEO for AI.
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