Every organization has legacy applications — and most modernization projects fail not because of technology, but because teams cannot keep up with the analysis, planning, and execution at scale. What if your AI pair programmer could lead the modernization instead of just assisting it?

In this session, you will see how GitHub Copilot CLI turns the modernization workflow on its head. Rather than manually analyzing codebases, writing migration specs, and hand-crafting refactoring plans, you use Copilot's agentic capabilities to orchestrate the entire process: scanning legacy code for patterns and risks, generating structured migration proposals, executing refactoring steps autonomously, and validating the results — all from the command line.

Drawing on real enterprise modernization programs (including a major European bank with 150+ applications in flight), this session shows what agentic modernization looks like in practice: where it accelerates the work dramatically, where human judgment is still essential, and how to build a repeatable workflow your team can apply at scale. You will leave with a concrete methodology, live demo code, and the patterns needed to start applying agentic modernization in your own organization.

🤖 What you will learn:
✅ How GitHub Copilot CLI's agent mode works for autonomous code analysis and transformation
✅ A repeatable agentic modernization workflow: scan → plan → execute → validate
✅ Real-world patterns from modernizing 150+ applications at a European enterprise
✅ Where to trust the agent and where to keep a human in the loop
✅ How to build custom Copilot CLI extensions to encode your team's modernization rules