Clean code in the age of coding agents
Summary
The article argues that clean, well-structured code remains essential even with coding agents and large language models. It outlines core qualities (readability, simplicity, modularity, and testability), explains how poor structure increases token costs and degrades agent performance, and offers practical steps to guide and review automated changes.