Experimenting with AI code review

Graphite has been experimenting with the integration of AI into engineering workflows to enhance productivity and efficiency, particularly in the create-review-merge developer process. Key successful experiments include automating the generation of Pull Request (PR) descriptions, which improved the quality of commit messages and facilitated easier review of past changes; generating weekly digest notifications summarizing codebase changes, which helped engineers stay informed; translating vague inline comments into actionable code suggestions, which expedited review cycles; and using a Q&A bot to streamline onboarding by providing thorough answers to new engineers' queries. Additionally, AI-driven PR reviews offered quick, systematic checks for code style and test coverage, reducing review cycles. However, not all initiatives were successful, such as fully generative documentation and descriptive notifications, which suffered from inaccuracies and lack of added value, respectively. Overall, these experiments underscore the potential of AI to accelerate development workflows while also highlighting the need for careful integration to maintain trust and effectiveness.

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