Engineer tests AI agent on real DevOps tasks, finds useful but unreliable results

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A software engineer spent several months assigning real DevOps work to Claude Code, an AI agent, across eight distinct tasks including CI log analysis, on-call response, and pull request review. A key finding was that the same PR reviewed twice by the AI produced different and sometimes contradictory verdicts, highlighting the tool's non-deterministic nature. The engineer concluded that AI agents should act as advisory reviewers only, never as gatekeepers with merge or deploy rights. Strict constraints proved essential to safe usage: the agent was limited to file edits and draft PRs, barred from committing to main, and restricted to a single attempt per failure. The overall takeaway was that AI is genuinely useful for repetitive, low-stakes DevOps toil, but human oversight and hard guardrails remain non-negotiable.

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