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Explore how AI-powered tooling transforms large-scale refactoring and codebase migrations in this 28-minute conference talk from the AI Coding Summit 2025. Discover how leveraging Large Language Models (LLMs), static analysis, and refactoring frameworks can automate repetitive code transformations, accelerate migration paths, and reduce human error in complex development tasks. Learn practical approaches for migrating legacy systems to modern frameworks, breaking monolithic architectures into service-based structures, and automating large-scale code changes across thousands of files. See demonstrations of tools like OpenAI Codex, GitHub Copilot, and fine-tuned models for domain-specific transformations, while understanding how to integrate these AI solutions with traditional migration tools and CI/CD systems. Gain insights into balancing automation with manual reviews, the importance of developer oversight, and lessons learned from real-world production rollouts. The presentation covers AI refactoring types, tools, and principles, implementation rules, framework transformations including JavaScript to Angular migrations, enhanced processes, testing and validation strategies, challenges and mitigation approaches, and process improvement techniques.
