-
Notifications
You must be signed in to change notification settings - Fork 8
Description
Is your feature request related to a problem? Please describe.
Maintaining code quality in a growing open-source project can be challenging, especially when there are many contributors. It's easy to miss stylistic or architectural issues during manual reviews. I'm often frustrated when inconsistent patterns or minor issues make it into the codebase, increasing tech debt over time.
Describe 1~3 use cases of the proposed feature
- As a maintainer, I want CodeRabbit to provide AI-assisted code review suggestions to help identify issues early, so that I can focus on higher-level architectural decisions during PR reviews.
- As a contributor, I want to receive real-time, automated feedback on my pull requests, so that I can improve my code before maintainers review it.
- As a reviewer, I want CodeRabbit to suggest improvements or flag potential bugs, so I can ensure consistent code quality even in large or complex PRs.
Describe alternatives you've considered
- Manual reviews: Effective but time-consuming and error-prone, especially for larger projects with many contributors.
- Traditional linters and static analysis tools: Useful, but limited in scope and unable to understand context or make intelligent suggestions like CodeRabbit.
- GitHub Actions with custom review bots: Possible, but require significant setup and ongoing maintenance.
Additional context
CodeRabbit provides AI-assisted code reviews directly on pull requests and supports integrations with GitHub Actions. It can be configured to provide feedback only when requested or automatically on each PR. More info: https://www.coderabbit.ai
Adding this tool could help scale the review process, improve code quality, and reduce the burden on maintainers. And it is free for Open Source Projects!