Benchmarks & research
A code-review study asks Jev whether a pull request needs changes and which file deserves attention.
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Across 983 pull requests tested three times, the author reports stronger file selection than approve-or-change judgments. The latter results do not support automatic approval or blocking; Jev saw code changes, not the rest of each repository.
You can read this published study to see how the AI judged code updates. It asks the AI to find which file needs the most attention. Your developer can borrow these exact test questions to build a similar check for your own project.
The AI reads only the changed code, not your whole project. This test shows that the tool often guesses wrong about whether code is ready. Keep a person in charge of final reviews instead of letting the software approve updates on its own.