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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A production incident traces back to code your team shipped that was largely AI-generated and passed review. How do you communicate that root cause to leadership and the affected customers without it reading as either an excuse or an overcorrection to ban the tools?
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