Your team's AI assistant keeps generating code that violates your security and API conventions. How do you make compliant code the default?
The naive fix is to nag the model in every prompt. The staff move is to treat your constraints as a versioned policy library injected as system context, so compliance is structural, then verify it with a linter because prompts are advisory, not enforced.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
The naive fix is to nag the model in every prompt. The staff move is to treat your constraints as a versioned policy library injected as system context, so compliance is structural, then verify it with a linter because prompts are advisory, not enforced.
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.
