Spring AI
Build AI With Spring
Practical guidance for Java developers building cloud-native AI applications with Spring AI.
Production first
AI Features That Ship
Spring AI helps Java teams add LLM-powered features using the Spring Boot conventions, testing practices, and deployment pipelines they already trust.
This page is for senior backend developers who want complete working code and clear patterns for real systems, not hype or throwaway demos.
Build AI features with the same care you bring to every production service.
Rodolfo Mendes
Explore focused articles on conversational memory, persistent chat history, streaming responses, and web application integration.
What you will learn
Core Spring AI Patterns
First Applications
Start with a small Spring AI application and understand the building blocks behind reliable AI features.
Conversational Memory
Use advisors and persistent chat memory to create useful multi-turn experiences without losing control of context.
Streaming Responses
Deliver faster user experiences by streaming model output into your Spring-powered web applications.
Built for backend engineers
From Prototype To Production
2008
Java experience
Backend engineering experience across enterprise software, cloud services, and product teams.
30+
AI articles
Hands-on writing about AI, machine learning, data science, and practical implementation.
40+
Engineers trained
Experience sharing infrastructure, automation, and safe deployment practices with engineering teams.
Learn how to apply AI patterns with automation, testing, security, and operational discipline in mind.
Getting started
Spring AI Questions
A practical path for Java developers who want to build AI features with confidence.
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