Make your codebase agent ready

As AI agents increasingly write, review, and debug software, the passage argues that codebases should provide structured, easily discoverable context rather than relying on agents to explore entire repositories. It presents “progressive disclosure” through informative PR descriptions, commit messages, review comments, documentation, and links to related work as a way to help agents understand both implementation details and the reasoning behind changes. The text characterizes effective agent support as providing “eyes” through contextual summaries and history, “hands” through reusable workflows and automated fixes, and “legs” through access to external systems such as issue trackers, CI logs, telemetry, and crash reports. It uses Gitar as an example of a platform that enhances PR descriptions, learns from review patterns, connects code changes to tickets, tracks unresolved work, and handles flaky CI jobs, arguing that capturing institutional knowledge in these systems can improve consistency and decision-making for both agents and human developers.

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