Your LLM coding assistant keeps suggesting deprecated APIs. How do you fix stale knowledge?
The model's training cutoff is frozen, but your dependencies shift weekly. Retraining is the wrong reflex. Here is how teams keep code suggestions current without touching the weights.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
The model's training cutoff is frozen, but your dependencies shift weekly. Retraining is the wrong reflex. Here is how teams keep code suggestions current without touching the weights.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
