Accelerating Enterprise Modernization with Agentic AI: Inside AWS Transform

Enterprises today sit on mountains of legacy code — decades-old mainframe systems, monolithic .NET applications, and complex database architectures that resist modular change. Traditional modernization approaches take 18+ months of manual effort and face a shrinking pool of engineers who understand these systems. What if AI agents could reason about, plan, and execute code transformations at enterprise scale?
In this session, Saurabh Sharma will walk through AWS Transform — the first agentic AI service purpose-built for enterprise modernization. You'll see how specialized AI agents collaborate to analyze legacy workloads, decompose monoliths, transform code across languages and frameworks, and continuously remediate technical debt — all without the traditional bottlenecks of sequential tooling and scarce expertise.
What you'll learn:

• How agentic AI differs from traditional rule-based migration tools — agents that reason, plan, and adapt
• Real-world transformation patterns: mainframe → cloud-native, .NET modernization, and custom code/API/framework transformations (including Python)
• How "continuous modernization" shifts tech debt remediation from one-time projects to an always-on capability

Who should attend: Software engineers, data practitioners, and technical leaders interested in the intersection of AI and large-scale software engineering. Whether you're modernizing legacy systems at work or curious about how LLMs are being applied beyond chatbots to real production code transformation — this session is for you.
PyData St. Louis is part of the global PyData community. PyData is an educational program of NumFOCUS, a nonprofit organization that promotes open practices in research, data, and scientific computing.