AI code review tools for GitLab: test the merge-request path

Check whether the tool runs inside your pipeline or sends code to a separate service. Evaluate branch protections, forked merge requests, token scope and how a failed check is reported. Verify GitLab support before adopting a tool; a GitHub Action alone is not evidence of a working GitLab integration.

Build a small evaluation set

1. Record one failing behavior and the expected result.
2. Add a similar clean case to expose false positives.
3. Run the checker and retain the exact version and output.
4. Review any proposed fix and rerun the regression test.

Keep adoption reversible

Start in an advisory mode while you understand the findings. Decide which checks merit blocking a merge, document exceptions and keep source access limited to what the workflow needs. See the BugClass documentation for the current detector and integration scope and the pricing page for current availability. This page makes no claim that a particular detector catches every bug in its category.