Avoiding Prompt Drift in Production (ANSWERED)
Silent quality decay from model updates, data shift, registry bypass, and stale few-shot banks without version discipline.
TL;DR — Quick Answer
Prompt drift happens when live behavior diverges from intended design — due to model upgrades, changed retrieval corpora, edited templates without eval, or dynamic examples pulling bad shots. Prevent it with pinned model versions where possible, prompt version tags in logs, continuous eval on production samples, and alerts on metric shifts.
The Interview Question
What causes prompt drift in production and how do you detect and prevent it?
Deep Explanation
Sources of drift
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