Product guide

AI code review that shows its work.

AI review is useful when it adds a clear, inspectable first pass. Juror keeps human review, tests, and static analysis in the decision loop.

Direct answer

AI review is useful when it adds a clear, inspectable first pass. Juror keeps human review, tests, and static analysis in the decision loop.

01How an AI review is assembled
02What stays with humans
03Where benchmarks matter

How it works

AI review is useful when it adds a clear, inspectable first pass. Juror keeps human review, tests, and static analysis in the decision loop.

For ai code review that shows its work., use the published configuration and source repository as the product record. Keep the workflow small enough to inspect, and record any exception in the pull request rather than assuming a model result is final.

Limits to keep in view

Models, providers, and benchmark conditions change. Juror does not replace code ownership, test suites, static analysis, or a human decision to merge. Treat unknown cost and unevaluated compatibility as explicit unknowns.