About KeePassXC's Code Quality Control
13 days ago
- #AI in Development
- #KeePassXC
- #Code Quality
- KeePassXC has a robust quality control process for code contributions, ensuring thorough review, testing, and sign-off before merging.
- The project recently updated its contribution policy to address Generative AI use, requiring disclosure if AI contributes significantly to a code submission.
- All code, including AI-assisted submissions, undergoes the same rigorous review process by maintainers, with no shortcuts taken.
- AI is used in two main ways: as an additional tool in code reviews to spot errors and for drafting simple pull requests, which are then reviewed and tweaked by humans.
- KeePassXC maintains transparency in its AI use, with all AI-assisted pull requests labeled and open for public review.
- The team emphasizes that AI is not used for complex tasks like rewriting the crypto stack or large refactors, and there are no AI features within KeePassXC itself.
- Concerns about AI code being inherently inferior or deceptive are addressed by highlighting the deterministic nature of code and the importance of review and testing.
- The project commits to not integrating AI features into KeePassXC and to maintaining high standards for all code submissions, whether human or AI-generated.