A 60-Minute On-Call Playbook for Handling AI-Generated Code Failures in Production
Software teams increasingly ship AI-generated code but rarely have a structured response plan when that code fails in production. A proposed one-page playbook outlines a 60-minute incident response framework specifically for AI-assisted changes. The first step is immediate containment — rolling back the deployment or disabling a feature flag — before any investigation begins. Engineers then capture a snapshot of the original prompt, model output, git diff, and test results to reconstruct the context that was never formally handed off. The playbook concludes with reproducing the failure using a plain model, making a fix-or-revert decision, and documenting the failure mode so future on-call responders inherit useful context rather than silence.
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