From “plain‐Jane chatbots” to full-blown digital doers, Clement Escoffi’s deep dive shows how LangChain4j turns Java into an agentic AI playground—think reasoning, planning, memory, tool hookups, RAG, multi-step goals and even agent-to-agent chit-chat.
With live coding in Quarkus and real-world examples, you’ll incrementally build, test and deploy autonomous agents for everything from task automation to decision support. It’s your fast track to robust, maintainable AI agents in Java.
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