Making major updates trivial with the right context

Software engineers often spend a significant portion of their time maintaining existing code, which involves keeping up with updates to code libraries, especially when major releases introduce backward-incompatible changes. AI code assistants can aid in code refactoring during such upgrades, but their effectiveness is limited by their knowledge cutoff date, which may be outdated compared to new library versions. To enhance the accuracy of AI-assisted updates, users should provide detailed prompts specifying the library versions involved, and supplement these with release notes or migration guides. Asking questions and providing feedback during the process can further refine the results. An example illustrates the process of upgrading the Conform library using AI, emphasizing the benefits of combining AI insights with detailed documentation to efficiently manage complex code refactoring tasks.