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Building AI Agents with Java: Orchestrate Complex Workflows and Tooling with Spring AI, LangChain4j, and LLMs
Build Intelligent AI Agents with Java The Right WayArtificial intelligence is moving beyond experiments and scripts. Today’s AI systems must be scalable, maintainable, and production-ready, and that’s exactly what this book delivers.
Building AI Agents with Java is a practical guide for developers who want to design, build, and deploy real-world AI agents using Java and Spring Boot, without relying on fragile prototypes or hype-driven tools.
If you’re a Java developer, backend engineer, or software architect looking to integrate AI into modern applications, this book gives you the clarity and structure you need.
What This Book Helps You AchieveBy the end of this book, you’ll be able
Design intelligent AI agents that reason, decide, and act autonomously
Build AI-powered services using Java and Spring Boot
Implement agent orchestration, workflows, and decision pipelines
Integrate large language models (LLMs) into enterprise Java applications
Apply clean architecture principles to AI systems
Move from proof-of-concept AI to production-ready solutions
This book focuses on how AI agents actually work in real software systems, not abstract theory.
About the TechnologyJava remains the backbone of enterprise software, and AI is now part of that future.
This book bridges the gap between modern AI concepts and Java’s proven ecosystem, using tools and frameworks you already trust.
You’ll
AI agent design patterns
Spring Boot–based AI services
Modular and testable agent architectures
Scalable workflows for intelligent systems
Practical integration of AI models into backend applications
Everything is approached from a software engineering mindset, not a data-science-only perspective.
Book SummaryBuilding AI Agents with Java shows you how to create intelligent systems that go beyond simple API calls. You’ll learn how AI agents think, coordinate, and execute tasks within structured Java applications, making them reliable, explainable, and scalable.
Rather than focusing on hype or one-off demos, this book emphasizes real-world architecture, maintainability, and enterprise readiness. Whether you’re enhancing an existing Java system or building a new AI-powered platform, you’ll gain the tools and confidence to do it properly.
Who This Book Is ForJava and Spring Boot developers
Backend engineers exploring AI integration
Software architects building intelligent systems
Professionals seeking practical, production-grade AI solutions
No prior AI research background required, just solid Java fundamentals and a desire to build smarter systems.
Building AI Agents with Java is a practical guide for developers who want to design, build, and deploy real-world AI agents using Java and Spring Boot, without relying on fragile prototypes or hype-driven tools.
If you’re a Java developer, backend engineer, or software architect looking to integrate AI into modern applications, this book gives you the clarity and structure you need.
What This Book Helps You AchieveBy the end of this book, you’ll be able
Design intelligent AI agents that reason, decide, and act autonomously
Build AI-powered services using Java and Spring Boot
Implement agent orchestration, workflows, and decision pipelines
Integrate large language models (LLMs) into enterprise Java applications
Apply clean architecture principles to AI systems
Move from proof-of-concept AI to production-ready solutions
This book focuses on how AI agents actually work in real software systems, not abstract theory.
About the TechnologyJava remains the backbone of enterprise software, and AI is now part of that future.
This book bridges the gap between modern AI concepts and Java’s proven ecosystem, using tools and frameworks you already trust.
You’ll
AI agent design patterns
Spring Boot–based AI services
Modular and testable agent architectures
Scalable workflows for intelligent systems
Practical integration of AI models into backend applications
Everything is approached from a software engineering mindset, not a data-science-only perspective.
Book SummaryBuilding AI Agents with Java shows you how to create intelligent systems that go beyond simple API calls. You’ll learn how AI agents think, coordinate, and execute tasks within structured Java applications, making them reliable, explainable, and scalable.
Rather than focusing on hype or one-off demos, this book emphasizes real-world architecture, maintainability, and enterprise readiness. Whether you’re enhancing an existing Java system or building a new AI-powered platform, you’ll gain the tools and confidence to do it properly.
Who This Book Is ForJava and Spring Boot developers
Backend engineers exploring AI integration
Software architects building intelligent systems
Professionals seeking practical, production-grade AI solutions
No prior AI research background required, just solid Java fundamentals and a desire to build smarter systems.
315 pages, Paperback
Published January 15, 2026
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