KubeTrace AI agent on Reflection's Beam investigates, patches and verifies Kubernetes incidents end-to-end
HowDevelop · x · 2026-10-16
A developer built KubeTrace AI on the newly launched Reflection AI Beam model (via Nebius inference), a bounded tool-calling agent that closes the loop on Kubernetes incidents: it investigates logs, events and code, traces failures to root cause, proposes code or manifest changes, runs regression tests in a sandbox, rebuilds and deploys the fix, then verifies recovery. An execution layer policy-checks every change, and hidden checks decide whether the incident is resolved, with all evidence, patches and failed attempts inspectable.
More from coding & agent
- Backend migration from Python to Go now takes one engineer just one week — rakyll · 2026-10-17
- Audio founder says Claude one-shot decompiled rival algorithms, moat gone — ChrisGPT · 2026-10-17
- Google's playbook for agent evals: four layers of checks beyond the vibe check — rseroter · 2026-10-17
- AgentForesight: a 7B online auditor that catches multi-agent failures mid-run — jiqizhixin · 2026-10-17
- Dev gives his agent an alarm tool to wake him during overnight /goal runs — zack_overflow · 2026-10-17
- Dev shares multi-agent orchestration recipe: 2-3 lead agents with many focused subagents — MoonL88537 · 2026-10-17