Five Coding Habits That Sharpen Problem-Solving Skills in the AI Era

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A developer writing in 2026 argues that while AI tools can generate code rapidly, they risk eroding a programmer's ability to think through problems independently. The author outlines five habits adopted to counter this: thoroughly analyzing a problem before writing any code, building up from brute-force solutions rather than jumping to optimized ones, and using AI as a mentor for hints and feedback rather than a solution generator. Manually tracing through algorithms with small examples — known as dry runs — is highlighted as a powerful way to catch logic errors without a compiler. The author also emphasizes the value of being able to explain any solution clearly in plain language as a reliable test of genuine understanding.

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