AI Agents Don't Get Lost, So the Refactoring Never Happens

AI Agents and the Refactoring That Never Happens

As AI agents become daily tools, engineers are quietly skipping the refactorings that used to keep systems maintainable. The author argues that agents' ability to navigate messy code removes the human signal—getting lost—that triggered restructuring. This leads to codebodies no human can fully understand, rubber-stamp reviews, and misplaced trust in agents. The article also notes that clean code reduces token costs and improves agent accuracy, urging teams to deliberately reintroduce the refactoring checkpoint.