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Modernizing Legacy Code with AI Agents | A Comprehensive Demo In this episode, we delve into the complex world of legacy code modernization with the help of AI agents. Our client, one of the largest global retailers, faced the challenge of poorly documented legacy code built in the late '90s and early 2000s. To tackle this, we introduce an AI-driven approach to understand, document, and refactor the old code base. Key topics include the ingestion of code and documentation into a context lakehouse, detailed code analysis, generation of business context diagrams, forward-looking recommendations for refactoring, and the creation of comprehensive test cases and product requirement documents. Join us for an in-depth demo showcasing the transformative power of AI in updating legacy systems. 00:00 Introduction to Legacy Code Modernization 00:08 Client's Legacy Code Challenges 01:09 AI Agents for Code Refactoring 01:39 Demo: Legacy Platform Modernization 02:38 Building the Context Lakehouse 04:02 AI's Code Analysis and Documentation 07:11 Generating Test Cases and PRDs 09:58 Translating and Modernizing Code 10:37 Conclusion and Next Steps Key Highlights & Overview: Learning <strong>Code Documentation Ai</strong> is essential for modern technical workflows and software skills. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.