We're facing frequent rollbacks due to our code review process failing to catch issues, particularly with database queries and security vulnerabilities. While the code may work fine on test data, real users encounter problems. Our developers, though skilled, may lack experience in spotting certain mistakes, especially in security. We're hitting a pace of about 18 deployments a day, which makes thorough manual reviews difficult, and our automated tests often miss edge cases, leading to these frustrating situations. We're considering investing in better code review tools like Greptile, but I'm curious if anyone else has used AI-assisted reviewers or what their experiences have been. Any suggestions on how to enhance our review process and testing framework?
1 Answer
It sounds like you need to improve your testing procedures. People are bound to miss things during reviews, so adding robust tests could help prevent issues from slipping through. After encountering failures, just make sure to create more tests that reflect real scenarios.
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