Train with coding assistants like Magnus Carlsen trains with chess engines

The author argues that developers should use AI coding assistants the way Magnus Carlsen uses chess engines—not as autopilot but as a learning tool through rigorous post-game analysis. Rather than accepting LLM-generated code directly, developers should review it critically during code review to understand why solutions work and catch mistakes, shifting the time investment from coding to learning-focused review. The effectiveness of this approach depends entirely on whether the developer engages thoughtfully with the AI's output or blindly accepts it without comprehension.

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