How it works
AI code review uses models or tooling to inspect a change and propose questions or findings. It is a review aid, not a replacement for tests or accountable owners.
For what is ai code review?, 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.