# Agent-readable repository structure: organize a codebase for safe AI changes

An agent-readable repository structure makes the next change easier to scope, review, and verify. The goal is not to arrange files for a model’s convenience. It is to make the product’s boundaries visible to any contributor: where requests enter, where data access lives, which code is shared, which files are protected, and which checks prove a change is complete.

Start with a map an agent can read in a few minutes. Name the main application surfaces, keep tests close to the behavior they protect, and put project instructions where the coding tool already looks for them. A clear tree reduces guessing before the first edit.

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*This is an excerpt. Read the full post at [otf-kit.dev/blog/agent-readable-repository-structure](https://otf-kit.dev/blog/agent-readable-repository-structure) — full-stack kits your AI coding agent can actually ship to production. [Browse the kits →](https://otf-kit.dev)*