Six months of data from 12 engineering teams using AI code review.
Where it adds value
- Catching obvious null-pointer / off-by-one bugs.
- Style + naming inconsistency.
- Missing test coverage on changed lines.
Where it adds noise
- Architecture-level critique without context.
- Refactoring suggestions on legacy code.
- Confidently-wrong security claims.
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