Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Spring Batch is a powerful module of the Spring framework that provides out-of-the-box implementation for batch processing tasks. It is used in scenarios where data needs to be processed in multiple ...

It's not hard to create a RESTful web service in Java. In fact, frameworks like Spring Boot, the Eclipse MicroProfile and Jakarta Enterprise Edition make the development of RESTful Java applications ...

TheServerSide has published a number of articles on the tenets of effective RESTful web service design, along with examples of how to actually create a cloud-native application using Spring Boot and ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing feature-rich data storage to the browser. Once upon a time, we had mainframes with ...

301-frameworks-spring-boot-core Spring Boot Core Review my Spring Boot application using the cursor rule @301-frameworks-spring-boot-core Add in the context the Spring Boot classes you want to review ...

Abstract: The service consists of hosting an AWS-based web page application utilizing EC2 instance services. The backend development is done in Java and set up on port 3001 as proprietary REST API ...