How to Write Effective CLAUDE.md Rules for Predictable AI Coding Agents

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A well-structured CLAUDE.md file should define what an AI coding agent like Claude Code may do, what it must avoid, and how to verify results — rather than listing vague preferences. Each rule should be tied to an observable outcome, such as running a specific test command and reporting its exit code. Sensitive data like API keys, CI tokens, or environment files must never appear in CLAUDE.md; boundaries should be stated instead, with real credentials passed through secure environment stores. Repository-wide rules belong in the root CLAUDE.md, while package-specific rules should live close to their respective packages, with local rules taking precedence in direct conflicts. Developers can validate a rule's effectiveness by testing it on a small, reversible task and inspecting the git diff to confirm only the intended file changed.

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