Shipping trustworthy code with Chunk CLI

AI coding agents, though efficient in generating code, often fall short of enforcing team-specific coding conventions, such as lint rules and review patterns. Chunk CLI addresses this by integrating team-specific quality checks into the local development workflow, ensuring code adheres to established standards before reaching Continuous Integration (CI). It leverages pull request history to learn and enforce these conventions, wiring lint and test checks into AI agent sessions for self-correction. This process involves mining review comments to create a tailored review prompt, automating checks via hooks during the commit process, and utilizing a review skill for diff evaluation. Additionally, Chunk tasks run autonomously in CircleCI pipelines for systematic fixes, validating changes and opening pull requests without local intervention. This approach transforms quality checks from hopeful reminders into automated, consistent enforcement, aligning AI-generated code with actual team practices and standards.

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