# I Built an AI Kubernetes Pod Debugger — Diagnoses CrashLoopBackOff, OOMKilled, and More in Seconds

Why I Built This K8s error messages are designed for cluster operators, not for the developer who just shipped a feature and now has a pod stuck in CrashLoopBackOff at 11pm. kubectl get pods tells you something is broken. It doesn't tell you why, and it definitely doesn't tell you what to do about it. I kept doing the same 4-command loop — get pods , describe pod , logs , Google the error — and thought there had to be a better way. So I automated the loop and added an AI in the middle. The 6 Failure Types It Handles ImagePullBackOff — wrong image name, missing credentials, private registry issues CrashLoopBackOff — app crash on startup, missing env vars, bad config OOMKilled — container exceeding memory limits Pending — insufficient cluster resources, node selector issues Failed — job completion errors, config map missing Init Container failures — init container exits non-zero How It Works The tool runs three kubectl commands in sequence, then hands everything to Ollama. First, kubectl