Taming GPT-4o for Production EKS Let’s be brutally honest for a second: the idea of letting an LLM blindly run kubectl apply on your production AWS EKS cluster is terrifying. It is the stuff of late-night DevOps nightmares. One rogue hallucination, an accidental namespace change, or a sudden ClusterRoleBinding injection, and your entire infrastructure could be compromised. As an AWS Community Builder and AWS Student Builder Group Leader managing developer ecosystems in the Global South, I see developers rushing to integrate GenAI into their pipelines every day. But zero-shot LLM generation for live infrastructure isn't just risky it's mathematically unsafe. I call this the "Infrastructure Hallucination" problem. To solve this, I built Kube-AutoFix : an autonomous Kubernetes debugging agent that acts as a Staff-Level SRE. It doesn’t just guess; it deploys, monitors, debugs, and mathematically validates its fixes.…