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The Model Changed. My Skill Didn't. The Score Still Dropped.

This story is from 2026-10-07. It is preserved in the archive; the latest stories are on the live feed.

What agent evals taught me about moving model floors, noisy LLM judges, and treating the evaluator as part of the instrument My rule for evaluating an agent skill is deliberately asymmetric: Test the agent on the weakest model you intend to support. Choose the judge by measuring which model grades…

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  1. 2026-10-07 09:48 · DEV Community — AI
    The Model Changed. My Skill Didn't. The Score Still Dropped.

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