JavaOne 2026

JavaOne 2026 Session

Duke in front of a whiteboard

Building High-Performance AI Agents and Services with Helidon

Summary

AI agents are advancing, but the performance and scalability—both for the agents and their supporting services—often lag behind. In this lab, you'll:

  • Build scalable services with Helidon using Virtual Thread–based MCP servers
  • Implement high-performance agents via Helidon's compile-time integration with LangChain4j

Who should attend:

  • Java developers and architects exploring AI agent frameworks
  • Platform and SRE engineers focused on performance and scalability
  • Teams evaluating AI, LangChain4j, and microservices in a cloud native environment

Leave with a production-ready pattern for building scalable AI agents and services with Helidon, Virtual Threads and LangChain4j.

Profile

Type: Hands-on Lab (90 min)

Track: Machine Learning and Artificial Intelligence

Audience Level: Intermediate

Speakers:
  • Ryan Eberhard
  • Romain Grecourt
Sessions: