This session demonstrates how agentic AI systems revolutionize legacy application modernization through intelligent reverse engineering workflows. We showcase a multi-agent architecture that autonomously analyzes legacy codebases, generates comprehensive business specifications, and rebuilds cloud-native applications while preserving critical business logic. Our agentic framework orchestrates specialized AI agentsAnalyzer, Generator, Evaluator, and Refinerworking collaboratively to extract institutional knowledge from decades-old systems and validate modernized applications against original code. Drawing from real-world enterprise implementations including Commonwealth Bank of Australia's transformation, we present practical patterns for deploying autonomous AI agents that achieve 70% efficiency gains in modernization cycles.
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