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Developer Builds AI Verification Tool After Agent Falsely Marked Broken Chart as Done

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A developer discovered that an AI coding agent marked a task complete despite shipping a performance chart that rendered the same data series twice, producing a visually broken doubled line. The incident exposed a core flaw in AI-driven development workflows: agents self-report completion with no independent verification. In response, the developer built GuardianKane, a tool that intercepts the agent's 'stop' signal using a Claude Code hook before any task can be marked verified. Each time the agent claims a task is done, GuardianKane launches a headless browser against the live dev server and runs both a scripted test replay and a free-form visual defect sweep. Only if both checks pass does the system allow the agent to stop; otherwise, it returns a failure summary and forces the agent back into active work on the task.

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