AI in Java Series
Last updated: May 6, 2026
Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.
Get started with mocking and improve your application tests using our Mockito guide:
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
Get started with understanding multi-threaded applications with our Java Concurrency guide:
Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:
Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.
But these can also be overused and fall into some common pitfalls.
To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:
Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:
Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.
I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.
You can explore the course here:
Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.
Get started with Spring Data JPA through the guided reference course:
Refactor Java code safely — and automatically — with OpenRewrite.
Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.
Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.
Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.
Artificial intelligence has become a core concern for Java developers, with a growing ecosystem of frameworks and tools for building everything from simple chatbots to sophisticated agentic systems. Java offers strong support for modern AI development through frameworks like Spring AI and LangChain4j, as well as direct integrations with the major LLM providers.
This curated series provides a practical guide to building AI-powered applications in Java, covering foundational concepts, Spring AI’s core features, retrieval-augmented generation, the Model Context Protocol, AI agents, and deep learning libraries.
Getting Started with AI in Java
- Introduction to Spring AI
- Introduction to LangChain
- The OpenAI API Java Client
- Using OpenAI ChatGPT APIs in Spring Boot
Building with Spring AI
- ChatClient Fluent API in Spring AI
- Chat Memory in Spring AI
- A Guide to Structured Output in Spring AI
- A Guide to Spring AI Advisors
- Using Anthropic’s Claude Models With Spring AI
- Building an AI Chatbot Using DeepSeek Models With Spring AI
- Create a ChatGPT Like Chatbot With Ollama and Spring AI
- Testing LLM Responses Using Spring AI Evaluators
RAG and Vector Search
- A Guide to Embeddings Model API in Spring AI
- Create a RAG (Retrieval Augmented Generation) Application with Redis and Spring AI
- Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas
- Implementing Semantic Search Using Spring AI and PGVector
- Spring AI With ChromaDB Vector Store
- Building a RAG App Using MongoDB and Spring AI
- Implementing Semantic Caching Using Spring AI
Model Context Protocol (MCP)
- Introduction to the Model Context Protocol (MCP) Java SDK
- Exploring Model Context Protocol (MCP) With Spring AI
- MCP Authorization With Spring AI and OAuth2
- Securing Spring AI MCP Servers With OAuth2
AI Agents
- Creating an AI Agent in Java Using Embabel Agent Framework
- Building AI Agents Using Google Agent Development Kit (ADK)
- Text-to-SQL Implementation Using Spring AI
- Implementing an AI Assistant with Spring AI
Deep Learning and ML Libraries
