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.
Type: Hands-on Lab (90 min)
Track: Machine Learning and Artificial Intelligence
Audience Level: Intermediate
Speakers:
- Ryan Eberhard
- Romain Grecourt