Key Information:

• Java is enduringly relevant with portability, robustness, and a vibrant ecosystem. Java 24 and 25 bring performance optimizations.
• AI is a core component of software development, with tools like GitHub Copilot and Azure AI services streamlining workflows.
• Quarkus infuses AI into Java applications with LangChain4j, allowing for retrieval-augmented generation and seamless integration of AI capabilities.
• Quarkus combined with the MCP extension enables building intelligent applications consuming AI models as services.
• Azure provides a robust environment for deploying Quarkus-based AI apps with various services like Azure OpenAI Service and Qdrant.
• A case study shows a retrieval-augmented generation solution using Quarkus, LangChain4j, and Azure OpenAI.

Important Details:

• Microsoft JDConf 2025 showcases advancements in cloud, AI, and frameworks like Quarkus.
• LangChain4j abstracts the complexity of working with large language models and supports multiple providers.
• Quarkus LangChain4j extension enables implementing RAG and composing AI pipelines in Java.
• Java developers can build intelligent applications efficiently on Azure with managed services.
• Resources like Quarkus LangChain4j Deep Dive, workshop, and getting started guides are available.