We recently announced the general availability of Spring AI 1.0 — a major milestone that brings the power of generative AI directly into the hands of enterprise Java developers.
With this release, Spring AI delivers a native, production-ready solution for integrating large language models, retrieval-augmented generation (RAG), and AI-driven capabilities — all within the trusted Spring ecosystem. No new languages or frameworks to learn. No context switching. Just accelerated innovation, built on the tools your devs already use.
The future of AI in the enterprise isn’t just about models—it’s about meeting application developers where they are. For many, that place is the widely-used Java development framework – Spring. With most of the generative AI ecosystem centered around Python-based tooling, it’s easy to forget that the backbone of the enterprise runs on Java.
Bridging the Gap: Java Developers and AI Integration
Java remains one of the most used programming languages, particularly in enterprise environments, and Spring is the most commonly used framework within the Java ecosystem.
While AI integration has traditionally favored Python, bringing those capabilities into Java applications has been more complex. Spring AI closes that gap with a seamless, Spring-native API and intuitive abstractions designed specifically for building AI-powered solutions in Java..
By applying Spring’s design principles, such as portability and modular design, Spring AI promotes the use of Plain Old Java Objects (POJOs) as the building blocks of AI applications. This approach allows Java developers to incorporate AI functionalities without departing from their familiar development environment.
This latest announcement underscores other efforts from Tanzu to help Java developers build and deliver enterprise grade AI enabled applications confidently. Earlier this year we announced the Model Context Protocol Java SDK and last year we introduced the Spring AI MCP, a Java SDK for MCP.
Legacy to Leading Edge: Spring AI Powers Real-World GenAI Apps
Spring AI is already being used by Fortune 100 companies in highly regulated industries like financial services, healthcare, and manufacturing. It offers a streamlined path to building AI-powered applications, whether you’re starting from scratch or modernizing legacy systems.
A major U.S.-based manufacturing company recently rolled out its Spring-powered GenAI apps into full production. Today there are more than 500 Spring developers using Spring AI and the Tanzu Platform delivering AI innovation and efficiencies. With even more GenAI and agent-based Spring apps in the works, the company’s AI footprint is set to expand in the year ahead.
Accelerating Time-to-Value with Familiar Tools
Another advantage of Spring AI is its seamless integration with the Spring Boot framework. This compatibility enables developers to build and deploy AI-enhanced applications efficiently, utilizing existing infrastructure and workflows.
Spring AI supports various AI models and services, allowing developers to implement features like text summarization, chatbots, and recommendation systems with minimal configuration. This streamlined process reduces the learning curve and accelerates the development cycle, leading to faster realization of AI-driven value in applications.
Start Building AI-Powered Apps Today
GenAI and agent-based AI are changing the game — from how businesses run to how customers engage. The best part? If you are a Java developer, you don’t have to wait. With Spring AI, you can start building powerful, real-world AI applications today.
For an in-depth demo of what you can achieve with Spring and Cloud Foundry, check out Josh Long’s detailed video “Spring AI and CloudFoundry: Bootiful, Agentic, Production-Worthy, Cloud-Native Systems and Services” below. This in-depth demo highlights the power of Spring AI for enterprise developers.
Want to see it live in action? Join us at SpringOne at VMware Explore. You’ll dive into hands-on use cases, connect with the Spring community, and learn how to bring production-ready AI to your apps.
Don’t miss out — register now and be part of the future of Spring.
