How I Made an Autonomous Kubernetes SRE Agent Observable with MLflow

AI infrastructure agents are exciting, but they are also difficult to trust. A Kubernetes debugging agent can generate a remediation plan, but if we cannot inspect its iterations, validation results, latency, artifacts, and failure modes, the system becomes a black box. That is a problem, especially when the agent is working near infrastructure. I built Kube-AutoFix as an autonomous Kubernetes SRE agent prototype that uses structured outputs, Pydantic validation, YAML safety checks, dry-run s...