Many enterprises want to adopt Generative and Agentic AI, but their most important business capabilities still live inside mature Java and Jakarta EE applications.

This session explores how AI can accelerate the modernization of enterprise Java without forcing a wholesale rewrite. It covers practical patterns for understanding legacy code, identifying service boundaries, extracting business rules, documenting dependencies, exposing capabilities through APIs, and introducing AI-assisted development and testing into existing delivery pipelines.

The session also examines how Jakarta EE applications can evolve incrementally toward cloud-native and AI-ready architectures while preserving security, transaction integrity, reliability, and established business behavior.

Attendees will learn how to combine AI-assisted software engineering with Jakarta EE modernization patterns to reduce technical debt, improve developer productivity, and prepare existing enterprise applications for future integration with intelligent agents and AI-driven workflows.