How to Write an AGENTS.md File That Actually Guides AI Coding Agents

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A developer working within the OpenClaw workspace found that effective AI agent behavior stemmed not from a single prompt but from a structured stack of Markdown instruction files, with AGENTS.md at the root. The AGENTS.md format, now part of the Agentic AI Foundation ecosystem under the Linux Foundation, gives developers a plain-text way to tell coding agents how to operate within a repository. The author recommends that a well-written AGENTS.md establish a clear boot order — specifying which files an agent should read before touching any code — to replace aimless searching with deliberate orientation. Judgment-based working principles, such as preferring local helpers over new dependencies, should be kept separate from frequently changing mechanics like build commands to prevent the file from becoming disorganized. Concrete boundary rules, for example using 'trash' instead of 'rm' for file deletion, are highlighted as especially valuable because they give agents specific, actionable limits rather than vague cautions.

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