Build Your Own Production-Ready Agentic Apps
Please have this ready on your laptop:
- ✓Git, able to clone GitHub repos
- ✓Walk through the linked checklist below
First come, first served: the room fills up quickly. Only join if you build along.
Preparation checklist →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.
