Coding Tools War Meets the AI DevOps Reliability Gap

AI coding tools continue expanding across repository investigation, terminal execution, testing, security review, MCP tools, pull requests, deployment, persistent memory, and multi-agent workflows. New practitioner guidance reinforces that generated frontend, DevOps, and infrastructure code remains a draft: automated review can miss business semantics and encourage automation bias, requiring specifications, architecture review, reproducible environments, testing, and human approval.