AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.
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How do you set and enforce a policy on what code and data engineers can paste into external AI coding tools, given that your codebase includes proprietary algorithms and some customer data flows through it?
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