AI Coding Tools Boost Output but May Be Eroding Deep Engineering Skills

AI-assisted coding tools like GitHub Copilot and Cursor have made it faster than ever to generate syntactically correct code, but senior engineers warn this speed comes at a hidden cost. By supplying solutions without requiring developers to reason through problems, these tools reduce the 'productive friction' that builds lasting technical mastery. Psychologists link deep skill development to flow states, which require a balance between challenge and ability — a balance AI can inadvertently short-circuit by making tasks too easy. Over time, engineers may find themselves proficient at producing features yet unable to explain, debug, or extend the systems they build. Experts argue that deliberately practicing constraint-based coding, scrutinising AI suggestions critically, and preserving space for unassisted problem-solving are key to growing as an engineer rather than simply becoming a faster code consumer.