AI-Powered Code Transformations at Scale

Learn how to implement AI-powered code transformations at enterprise scale in this 16-minute conference talk from Conf42 Prompt 2025. Explore the core challenges facing software engineering teams when attempting large-scale code modifications and discover Code Plan, a symbolic framework designed to address these issues. Understand the architecture and techniques behind automated code transformation systems, including detailed coverage of Abstract Syntax Trees (AST) and chunking methodologies for processing large codebases. Examine real-world applications and impact of AI-driven code transformation tools, while gaining insights into future trends shaping the intersection of artificial intelligence and software development. Master practical approaches to scaling code modifications across enterprise environments and learn how symbolic frameworks can streamline complex refactoring operations.