What Coding Without AI Taught Developers That the Next Generation May Never Learn

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A developer who learned to code in 2013 reflects on how struggling through problems without AI assistance built a form of deep, structural understanding that frictionless learning cannot replicate. Cognitive science supports this view: UCLA psychologist Robert Bjork's concept of 'desirable difficulty' shows that manageable obstacles during practice improve long-term retention. A 2008 study in Science similarly found that effortful retrieval through testing produced far better memory retention than repeated studying. Today's learners, who grow up with AI suggesting solutions from the start, develop different strengths — speed and tool fluency — but may miss the transferable reasoning skills forged by unassisted problem-solving. The author argues that the core question remains unanswered: if struggle itself was the education, what fills that gap when the struggle is removed?

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