ENTERPRISE JAVA IN THE AI ERA
Modern Java with Spring Boot and GenAI Handbook
Build an enterprise Java application from modern language foundations and Spring Boot APIs to JPA persistence, grounded Generative AI, security, testing and Docker deployment.
HANDBOOK OVERVIEW
See the whole system.
Then master each decision.
This is a connected learning path—not a collection of isolated tips. Every Byte builds the mental model, makes the workflow visible and applies it to a situation you could meet in a real project.
Move from first understanding to confident explanation.
CONNECTED LEARNING PATH
Learn in the order the work happens.
Complete one focused concept at a time. Every chapter includes practical guidance you can use immediately.
Modern Java and Spring Boot Basics for AI Applications
Understand Spring Boot layers, dependency injection and the complete request lifecycle behind a maintainable, testable Java AI application service.
Connect Spring Boot to LLMs with Spring AI
Use Spring AI ChatClient, prompt roles, model configuration and typed structured output to create a predictable, testable AI endpoint in Java.
Build RAG in Spring Boot with Spring AI
Connect Spring AI VectorStore retrieval, Advisors and ChatClient so a Java application answers from approved enterprise documents with evidence.
AI Agents and Tool Calling in Spring Boot
Expose bounded Java methods as AI-agent tools with input validation, user authorisation, meaningful approval boundaries and complete audit evidence.
Production Java and Spring Boot GenAI Applications
Secure, test, observe and deploy Java AI endpoints with timeouts, bounded retries, safe fallbacks, operational evidence and cost controls.