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 make sure you're still building real debugging and system-design skill when an AI assistant can generate most of your day-to-day code, and how do you know if you're starting to lose that muscle?
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