Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

HTMX is a newer technology that takes plain old HTML and gives it extra powers like Ajax and DOM swaps. It’s included in my personal list of good ideas because it eliminates a whole realm of ...

Spring AI 2.0 brings the Java AI framework to a new baseline built for Spring Boot 4.x and Spring Framework 7. The release improves agentic app development with unified tool calling, progressive tool ...

In many ways, the Spring Framework's extremely flexible ability to integrate with other powerful frameworks makes it ideal for building clusters of microservices, especially using Spring Boot and ...

Use Spring MVC MultipartFile, Java Path APIs and the browser fetch API to upload files asynchronously and save them safely on the server. Follow the essential steps to download Java 21, configure ...

When it comes to building microservices and applications that thrive in the cloud, developers are faced with a critical choice: which Java framework to use? Two standout options are Spring Boot vs ...

Although you have somehow finished your basic Java training, do you feel impatient or anxious about your upcoming assignment ...

Microsoft announced Spring Boot improvements in the latest update to Java on Visual Studio Code tooling. That tooling comes in the Spring Boot Extension Pack in the Visual Studio Code Marketplace, ...

The JHipster team has shipped JHipster 9.0.0-beta.2, a follow-up to the project's first 9.0 beta, aimed squarely at improving generator stability while pushing the stack forward with Spring Boot 4.x.