What We Lose When Coding Becomes Reviewing
A recent Anthropic research note acknowledges a paradox: effective use of AI coding assistants like Claude requires supervision, which in turn relies on the coding skills that AI overuse may diminish. This observation aligns with findings from studies by MIT and Microsoft, as well as Anthropic's own research, which indicate a significant drop in debugging skills among engineers heavily using AI tools. Prominent LLM user Simon Willison also reports a loss of mental models for AI-assisted systems, suggesting that the practice of coding as a thinking process is being eroded by AI. AI
IMPACT AI coding assistants may lead to skill atrophy, potentially impacting the future supply of experienced engineers and the industry's ability to innovate.