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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You're mentoring a junior engineer who leans heavily on an AI assistant and can ship working code quickly, but struggles when you ask them to explain why it works. How do you coach that without slowing them down or making them defensive about using the tools?
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