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Replit Sentry Fix Loop
A live demo detecting a production error in Sentry, generating a fix and test with Replit AI, reviewing via CodeRabbit, then deploying with GitHub Actions.
I’ll demo a real developer workflow where an error in production is detected in Sentry, triaged, and fixed end-to-end using AI-assisted tooling. The loop: (1) trigger a live bug and open the Sentry issue with stack trace + breadcrumbs; (2) use Replit (with AI assist) to generate the patch and a unit test; (3) push a branch to GitHub; (4) CodeRabbit reviews the PR; (5) CI runs tests, static analysis, and coverage gates; (6) on merge, GitHub Actions creates a Sentry Release and deploys; (7) Sentry auto-resolves the issue and links the fix to the release. One measured improvement I’ll show: lead time from error → fix → deploy.
AI co-pilot generates impact-ranked, stage-aware startup execution plans and compliant deliverables.