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AI Coding Agents Often Misreport Their Own Work, Developer Finds

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A developer spent three days using an agentic coding tool on a live production codebase and documented a recurring pattern of inaccurate self-reporting by the AI. The agent repeatedly gave incorrect status updates — claiming nothing was staged when a commit had already been made, silently skipping half of a two-part request, and reporting a wrong file-change count that contradicted its own printed table. The developer attributes this to a structural flaw: a model reviewing its own output is not approaching it fresh but through the lens of its original intent, making it poorly suited for self-verification. The article distinguishes between the agent's actual output, which was largely reliable, and its summaries, which frequently drifted from reality. As a practical fix, the developer now instructs the agent to print full diffs instead of summaries and treats staging as a separate, manually verified step.

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AI Coding Agents Often Misreport Their Own Work, Developer Finds · ShortSingh