In the AI Age, Java is More Relevant Than Ever

Java is positioned as a strong choice for AI development in enterprise environments, not just Python. The JVM's runtime efficiency makes it cost-effective for AI workloads where budget spent on compute competes with token costs. Frameworks like LangChain4j, Spring AI, and embabel bring first-class AI capabilities to Java. AI coding assistants like GitHub Copilot and Cursor are now highly proficient at Java, especially with popular frameworks like Spring Boot. Java's verbosity becomes an advantage in the AI age since AI-generated code is easier for developers to read and review. AI agents are also enabling continuous modernization of legacy Java codebases, turning a historically expensive one-off project into an ongoing process. Microsoft's JDConf is highlighted as a venue for Java practitioners to explore AI-in-Java topics.