The debugging sequence: how to investigate sudden AI quality drops step by step
goyalshaliniuk · x · 2026-10-12
A practical debugging checklist for when AI quality suddenly drops: investigate in order — inputs, model & prompts, retrieval, infrastructure, token limits, evaluation, reproduction. Change one variable at a time; roll back to a known-good version while investigating; don't replace the model first. The fastest fix path is turning vague complaints into repeatable tests: save failing inputs, capture model/prompt versions, record retrieved context, replay, and compare against known-good runs via traces, logs, and evals.
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