The Agent Said It Worked. I Asked the Kernel.
Before evaluating an agent’s code, I built a backup client with eight known behaviors to check the instrument itself. My response to “it works” is becoming: “Let me see the packet capture.” This may become a personality problem. For now, it is an experiment. This experiment was inspired by Hemapriya Kanagala (@hemapriya_kanagala) and her article, What Happens When AI Outgrows the Tests We Use to…
The article discusses the challenges of evaluating AI agents and the need for independent evidence to support their claims of success. The author built a backup client with eight known behaviors to test the AI agent's code, highlighting the importance of comparing execution, network activity, and resulting state against requirements.
The author emphasizes that while frameworks and libraries can aid in software development, they do not automatically validate unfamiliar code. They argue that independent evidence, such as file comparisons, is crucial to challenge the results and avoid misleading agreements between an agent's implementation and its tests.
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