Medium LLM
Your LLM Broke in Production. Do These 7 Things Before You Touch the Prompt.
eval
What happened
The article proposes a benchmark-driven incident runbook for debugging LLM failures in production. It argues against immediate 'hotfixing' of prompts, suggesting a systematic 7-step diagnostic process to avoid introducing regression errors.
Why it matters
Treating LLM failures as software bugs requiring systematic regression testing rather than prompt-tuning guesswork is a key maturity step for AI engineering.
The take
The author is absolutely right: hotfixing prompts in production without regression testing is a recipe for disaster. A structured incident runbook based on evaluations is the correct engineering approach, though the article body is brief.
Do this
Establish a golden evaluation dataset to run against your prompts before deploying any 'hotfixes' to production issues.
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