AI coding agents can produce a lot of code quickly. QA Review helps you decide what deserves your attention before you dig into the diff.
QA Review runs a separate quality pass on your implementation and returns a structured report: whether the feature works, whether tests and lint pass, how the implementation scores on functionality, code quality, and tests, and what should be fixed next.
How it works:
- Open an implementation and start a QA Review from the review panel
- Superconductor launches a QA agent against the implementation
- The QA agent checks the diff, runs relevant verification steps, and tests the app when applicable
- You get a scorecard, notes, and suggested improvements
The report is designed to be actionable. If the implementation is solid, you can review with more confidence. If it needs work, use Paste Into Chat to send the QA findings back to the implementation agent and have it fix the issues.
QA Review is currently in private beta. Email us to get it enabled for your project.
Have feedback or ideas for what we should build next? Let us know!