Why problem-solving fundamentals matter more than ever in the age of AI coding

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A software developer with over 30 years of experience argues that learning to code remains valuable, but the most critical skill is no longer writing syntax. He reflects that early education in algorithms, flowcharts, and logical reasoning proved more enduring than any specific programming language. As AI tools dramatically reduce the cost of generating and debugging code, he contends that deeply understanding problems, defining requirements, and evaluating trade-offs has become the scarce and sought-after skill. He draws a parallel between foundational computer science concepts taught decades ago and the thinking required to design AI workflows and review AI-generated code today. His advice to new developers is to focus on building strong mental models of how systems work, rather than memorizing language syntax or prompt engineering tricks.

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