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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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AI-ready · Upskilling

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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I use a simple test on myself: if I can't explain, without looking, why the code I just shipped works the way it does, I've outsourced understanding, not just typing, and that's the line I don't want to cross.

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