O'Reilly: AI for Mass-Scale Code Refactoring and Analysis

Every software engineering organization today is evaluating AI solutions that will help development teams be more efficient, improve code quality, fill skills gaps, and empower innovation. A large number of these solutions are focused on helping developers in the IDE with the code they are currently working on—one repository at a time. However, this system doesn’t scale for analyzing and refactoring large codebases across multiple repositories. If you want to refactor at scale, you need accuracy and trust in your system.

In this O'Reilly report, you’ll learn what mass-scale automated code refactoring with AI looks like in practice. You’ll get details of the: 

• Unique challenges of refactoring codebases
• AI technologies and techniques, like Retrieval Augmented Generation (RAG)
• Various use cases for leveraging AI at scale
• Considerations for using AI for mass-scale refactoring