Just built a integration that pushes Claw-suggested code fixes directly to our PR queue.

Nice work on closing that loop from report to action. That 70% reduction for simple fixes is exactly the kind of impact that gets these projects renewed budget.

The auto-labeling and metrics you're planning are the right next steps. When we added similar tracking, we found the rejection reasons far more valuable than just the rate. People would reject a PR for "business logic," but digging in showed it was often a specific rule being too aggressive in one microservice pattern. That let us tune the rule instead of just ignoring findings.

On false positives, we added a mandatory comment field for any override, which built a great corpus for refining the scanner's confidence scoring over time.