Bring a little context.
Paste a function or upload related files. Tell us what the code should do to give the review a better starting point.
Meet CodeScreeningYour code’s second pair of eyes.
Paste your code. Find the bugs hiding in plain sight.
Get a clear explanation and a better way forward.
Local checks stay in your browser
Screen complete
Your second look.
Take the next step with your AI.
Copy this prompt into your coding AI. It includes the findings and reviewed source. Review it before sharing.
What we checked
Review suggestions in your project. Code was not executed, and this screen cannot establish that every bug has been found.
Back to your codeLess guesswork.
A clearer next step.
Useful feedback starts with showing the work. Every finding points back to your code.
Take a closer lookChoose your second pair of eyes.
Start with focused local checks or add a free AI review. The reviewer is chosen for you, with safeguards handled behind the scenes.
See the issue. Make the call.
Get the exact lines, the failure condition, a suggested fix, and a test idea. Make your changes, then screen again.
A careful review.
A clearer next step.
Useful findings should explain themselves.
Grounded in your source.
Every AI finding must point to a real file, line, and code snippet. Findings that do not match are discarded.
Free AI, chosen for the task.
We select from approved free coding models. You can focus on your code without managing keys or model settings.
Patterns, then perspective.
Local checks identify specific patterns. AI adds a broader source review. Both explain what needs your attention.
Your code deserves a little care.
Local checks stay in your browser. AI reviews send submitted code to our inference provider under its data policies. Recognized credential patterns are redacted, but this cannot catch every secret. Source code is processed for the review and is not stored in our database. The shared service credential stays on the server; visitors never receive it.
AI processing policy