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Explore a pragmatic approach to legacy system modernization using code-guided AI agents in this 33-minute conference talk from MLOps World. Learn how OpenHands Senior Researcher Calvin Smith and his team developed a scalable solution that combines static dependency analysis with intelligent agents to transform complex refactoring challenges into manageable, reviewable processes. Discover the technical patterns that enable effective collaboration between AI systems and human engineers, moving away from chaotic full-codebase automation toward controlled, incremental transformations. Master the use of static dependency analysis to guide agentic code transformations, understand how multiple agents can collaborate on complex modernization tasks, and learn to structure AI-led code refactors into safe, reviewable pull requests. Gain insights into the feedback loop between static analysis, AI agents, and human expertise, and understand why hybrid "AI + human-in-the-loop" systems consistently outperform autonomous approaches in enterprise software modernization scenarios.
