You’ve likely heard it everywhere lately: “This is the year of Agentic AI”!! Well, then why not roll up your sleeves and try creating your own Java-based Agentic AI app? As a Java developer, you are absolutely equipped to take on the challenge! In this session, you’ll explore a variety of Agentic AI capabilities with Java.

We’ll start by creating a simple AI client to interact with an LLM. We’ll then explore how we can make this app “agentic” by adding a variety of agentic capabilities, such as local function calling, MCP, Agent2Agent, and more. In addition, we’ll try out different techniques and patterns to get your LLM leveled up to leverage these Agentic capabilities. We’ll also attempt to show that agents are in fact not always needed, and show alternative patterns to accomplish AI tasks.

Come to this session to learn how to build Agentic AI applications with Java from the experts and engineers actively working on Quarkus AI and LangChain4j. Not a Quarkus developer but rather a Spring, or other stack developer? No worries! The concepts translate across the Java spectrum.