TL;DR: LLMs have evolved from simple chatbots to autonomous, decision-making agents—and LangChain4j is your Java ticket to ride. Clement Escoffi breaks down the core agentic AI patterns you need (think dynamic planning, memory, tool use, RAG, MCP and agent-to-agent workflows) and shows how to wire them up cleanly in a modular architecture.
In a hands-on Quarkus workshop, you’ll incrementally build and test a fully autonomous agent from scratch, complete with real-world examples and live coding. Perfect if you’re keen on task automation, intelligent assistants or beefing up your decision-support systems with Java-powered AI.
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