How to Perform Large Code Refactors in Cursor

Software engineers are discovering they can refactor messy code in minutes rather than hours, thanks to AI coding agents like Cursor and Claude that excel at the tedious but crucial work of cleaning up antipatterns and duplicate code. As these AI tools dramatically increase coding output, they're also creating more need for refactoring—but fortunately, they're exceptional at the task itself, handling the complex working memory requirements of tracking variables and ensuring input-output consistency across files. The key is having actual conversations with AI agents rather than just asking single questions, spending 10-15 minutes planning significant refactors, and always comparing the before-and-after functionality using a fresh AI context to catch bugs the original agent missed. With coding agents now capable of creating test scripts, generating commit messages, and conducting their own code reviews, what once required careful human oversight has become a fast, iterative process that smart developers are embracing earlier and more frequently than ever before.