{"id":232057,"date":"2025-05-12T08:00:09","date_gmt":"2025-05-12T15:00:09","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/java\/?p=232057"},"modified":"2025-05-11T21:05:19","modified_gmt":"2025-05-12T04:05:19","slug":"the-state-of-coding-the-future-with-java-and-ai","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/java\/the-state-of-coding-the-future-with-java-and-ai\/","title":{"rendered":"The State of Coding the Future with Java and AI \u2013 May 2025"},"content":{"rendered":"

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Software development is changing fast, and Java developers are right in the middle of it – especially when it comes to using Artificial Intelligence (AI) in their apps. This report brings together feedback from 647 Java professionals to show where things stand and what is possible as Java and AI come together.<\/p>\n

One of the biggest takeaways is this: Java developers do not need to be experts in AI, machine learning, or Python. With tools like the Model Context Protocol (MCP) Java SDK, Spring AI, and LangChain4j, they can start adding smart features to their apps using the skills they already have. Whether it is making recommendations, spotting fraud, supporting natural language search or a world of possibilities, AI can be part of everyday Java development.<\/p>\n

The report walks through real-world approaches that Java developers are already using – things like Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agents. These are not just buzzwords – they help teams build apps that work well at scale, stay secure, and are easier to manage over time. For teams figuring out where to start, the report includes guidance and simple workflows to make things easier.<\/p>\n

In short, Java is well-positioned to keep leading in enterprise software. This is an invitation to Java architects, tech leads, decision-makers, and developers to explore what is next and build smarter, more connected apps with AI.<\/p>\n

<\/a>Introduction<\/h2>\n

The world of software development is changing fast. Over the past two years, we have seen a major shift \u2013 not just in tools and frameworks, but in how developers think about building software. Artificial Intelligence is now part of the everyday conversation \u2013 helping developers rethink what their applications can do and how quickly they can build them.<\/p>\n

In the middle of all this change, it helps to pause and look at where we are. Java developers are especially exploring how to add intelligence to their existing applications or build new ones that can learn, adapt, and scale. But with so many innovative ideas and so much information out there, the real question is \u2013 what are developers doing?<\/p>\n

To answer that, we reached out directly to Java professionals across the world. We wanted to understand their thinking, what they are trying, and what they need to move forward with confidence.<\/p>\n

Our invitation was simple –<\/p>\n

“Calling all Java pros \u2013 share your insights to help simplify AI-powered apps <\/em>\ud83d\udc49 aka.ms\/java-ai.”<\/em><\/p>\n

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The response was strong. A total of 647 Java professionals took part:<\/p>\n