Learn how to orchestrate multiple AI agents in Java using LangChain4j's agentic module, from sequential pipelines and loops to goal-oriented planning and LLM-driven supervisors.
2026, Mar 01 — 24 minute(s) readDiscover how modern Java has evolved into a powerful scripting language, eliminating boilerplate and enabling instant execution for automation tasks
2026, Jan 08 — 12 minute(s) readThis article introduces A2A, a protocol that lets AI agents stop working in isolation and start collaborating as real “teams.” You’ll learn how agents can discover each other via agent cards, exchange tasks and multimodal artifacts, handle errors and auth, and how A2A compares to MCP. With a practical Java + LangChain4j + Quarkus example (superhero-themed, of course), it shows how to build both an A2A server and client so your agents can coordinate, delegate, and actually work together.
2025, Nov 28 — 19 minute(s) readDiscover how AI-powered form wizards turn confusing forms into smooth, conversational experiences. This article walks you through building an intelligent assistant with Quarkus and LangChain4j—able to guide users, validate data, retrieve missing information with RAG, and even process uploaded documents. From structured output to multimodal inputs, learn how to transform traditional forms into smart, adaptive, user-friendly interactions.
2025, Apr 15 — 15 minute(s) readThis article explores how Quarkus streamlines full-stack development by eliminating the traditional divide between frontend and backend. Discover how Quinoa enables seamless integration of modern JavaScript frameworks and hot-reloading workflows, while the Web Bundler offers a zero-Node.js approach using mvnpm and esbuild. Whether you’re building with React, Angular, or pure JS, learn how Quarkus makes full-stack development faster, simpler, and frustration-free.
2025, Mar 10 — 9 minute(s) read