Key Takeaways Reproducing errors consistently makes analyzing and fixing issues easier and more structured.Tools like debuggers, logs, and performance monitors ...

Spring Modulith supports the development of functionally modularized Spring Boot applications. With Spring Modulith, it is possible to divide Spring Boot applications into functional modules with ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...

The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...

Abstract: This paper presents an approach to automating JUnit test generation for Java applications using the Spring Boot framework, leveraging the LLaMA (Large Language Model Architecture) model to ...

The Java ecosystem supports a host of outstanding back-end frameworks, including many written for modern languages like Scala and Kotlin. Here's how seven top frameworks for Java and JVM languages ...

Azul Systems, in its Azul 2025 State of Java Survey & Report, says that Java leads Python and JavaScript for AI development in Java shops, based on a survey of 2,039 Java professionals on six ...

Having introduced its Modern Web Application (MWA) pattern for Java developers late last year, Microsoft is now promoting the cloud-centric concept further by highlighting the benefits of the ...

This study explores the potential of chatbots, specifically ChatGPT, in Java software development. The aim is to classify tasks for effective use of industrial code and develop recommendations for ...