JavaOne 2026 Session

Summary

As AI rapidly evolves from model experimentation to production-grade applications, Java developers are increasingly faced with a new paradigm: designing intelligent systems that can reason, interact, and adapt.

This talk explores the emerging Java AI application development journey through the lens of agent-based architecture, with a focus on how the Model Context Protocol (MCP) and Agent2Agent (A2A) communication patterns are transforming the way we build intelligent, context-aware services.

We’ll walk through the foundational shifts in building AI-native Java applications—moving beyond single-shot prompt-response interactions to multiagent coordination, persistent memory, and tool-augmented reasoning. We’ll also address the critical architectural trade-offs: performance versus flexibility, open source versus vendor-managed inference, local versus remote model deployment, and how to maintain security and observability in agent-based systems.