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Coding as Craft: Going Back to the Old Gym

Why 'reflexive AI usage' sounds like a diagnosis I don't want next to my name

Generating boilerplate code Summarizing documentation Explaining complex concepts Helping debug tricky error messages Drafting unit tests Formatting data Learn fundamentals deeply: Strong knowledge of algorithms, data structures, and design patterns gives you the ability to evaluate AI-generated solutions critically. Just as a chef might use a food processor for tedious prep work but would never dream of automating the creative aspects of recipe development and flavor balancing, we should use AI for what it’s good at while preserving the parts of coding that bring us joy and growth.

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