Building KubeAgent: an AI on-call assistant for Kubernetes

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Hey Product Hunt folks,

I'm building KubeAgent, a CLI for Kubernetes teams who are tired of finding out about cluster issues only after something is already on fire.

The idea is simple: run `kubeagent onboard` once to scan your cluster and build a local knowledge base, then run `kubeagent watch`. When something looks wrong, KubeAgent checks logs/events/describes, tries to explain the likely root cause, and suggests a fix. Safe actions like pod restarts can be applied automatically; risky actions wait for human approval through Slack, PagerDuty, Discord, Teams, Telegram, or a webhook.

I'm building it because I wanted something between "another alert in a dashboard" and "give an AI agent full access to prod." The hard part has been drawing the safety line clearly enough that it can be useful without being reckless.

Current focus:

- better Kubernetes issue detection

- clearer incident writeups

- safer approval flows

- making onboarding feel boring in a good way

Would genuinely appreciate feedback from anyone running Kubernetes in a small team or solo setup. What would make you trust, or not trust, an AI-assisted on-call tool?

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This sounds like a thoughtful approach to AI-assisted Kubernetes monitoring without going overboard on autonomy. Building in those safety checks and approval flows seems key for real-world trust. If you're up for it, I'm launching on PH soon... would appreciate a follow (See "PRODUCT HUNT LAUNCH" Link in my profile). The Sponge is an AI flashcard tool that turns any content into spaced repetition study material.

 cool. would you use it though Rian? if not, why?