Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

AI-powered tools like GitHub Copilot and IntelliJ IDEA are changing how Java developers code, debug, and modernize applications. From automating boilerplate to guiding framework upgrades, these tools ...

Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today announced AI4J: The Intelligent Java ...

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Java is becoming more popular for building AI applications, with 62% of respondents in Azul’s just-released 2026 State of Java Survey and Report relying on Java for AI development. Last year’s report ...

Overview Java backend roles in 2026 demand strong fundamentals plus expertise in modern frameworks like Spring Boot and ...

For a language that turned 30 last year, Java has a stubborn habit of refusing the obituary. At JavaOne 2026, Oracle’s message was not that Java needs reinvention so much as repositioning. The ...

Community driven content discussing all aspects of software development from DevOps to design patterns. One of the Java platform’s enduring strengths has always been its ecosystem. Since the early ...