Issue 8, Sep 27, 2026
The Skill Evaluation Trap
Senior AI Engineer interview at Google, and the interviewer asks:
“Your team shipped a code-review skill for your coding agent six months ago. Nobody knows if it helps. How do you build a production feedback loop that measures its quality from real PRs and turns that evidence into concrete skill edits?”
Don’t say: “I’d have an LLM judge score the reviews, then ask the model to improve the prompt.”
Why LLM judges quietly turn your agent skills into context-window dead weight, and how top teams build closed-loop feedback from real human outcome signals.
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The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.