video1.0<iframe src="https://www.loom.com/embed/d1aecafaaa6d4ec8a1b86de043842e40" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d1aecafaaa6d4ec8a1b86de043842e40-68c41bc00093a0af.gif217.659This Loom presents PatchPilot, an AI system that speeds up production incident fixes by automating everything except the final human decision to release to production. It targets a slow and fragmented workflow where engineers repeatedly cross-check metrics, logs, and deployments, reproduce failures, write fixes and regression tests, open pull requests, and wait while monitoring recovery. PatchPilot investigates real incidents, reproduces bugs in an isolated sandbox, finds root causes with evidence, and verifies each pipeline stage before stopping at a human approval gate. In a live demo, a checkout failure affected about 31 percent of customers with a 31 percent error rate, and the timeline included real tool calls, logs, and stack traces.