Build Your Own Production-Ready Agentic Apps
Time and room for this session are published in October. when the timetable goes live.
Most agentic AI demos stop at "hello world." In this lab, attendees will build a real agentic application using Quarkus + LangChain4j (Java) and iteratively evolve it from a simple LLM client into a production-minded workflow.
We start with a minimal baseline, then add tool/function calling, external capability integration with MCP, and most of all, multi-step agentic orchestration patterns. Along the way, we validate each step with observable behavior, discuss trade-offs, and compare agentic vs non-agentic alternatives to avoid over-engineering.
By the end, every participant leaves with a running Java project and a practical blueprint they can reuse in their own team: when to use agents, when not to, how to structure tools and orchestrate agents, and how to keep reliability, safety, and cost in check.
