Description
Kubernetes problems can be scanned and explained in a more readable way with AI-assisted diagnostics.
It is useful for developers and operators who need faster clues about failing workloads, events, and cluster configuration. Cluster data may include names, logs, secrets, or provider tokens, so review privacy settings and AI backend choices before sending data outside the machine.