With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...

One of the biggest problems with the development and deployment of server-side applications in Java is figuring out how and where to host them. HTML and JavaScript applications written in React or ...

Spring Boot's ability to auto-configure the development environment so that developers can quickly integrate databases, Kafka queues, cloud services and AI models into their apps is one of the popular ...

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.

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 ...

Designed and developed a E Commerce Food Delivery App using Java, Spring Boot, Spring MVC, Spring Data JPA, MySQL, HTML, CSS, JavaScript ...

Abstract: As cloud computing continues to mature, aligning Spring Boot with cloud services is one of the strongest options for creating powerful, scalable Java applications. This paper focuses on ...

CTO at SCUB. I build things that ship : currently Docling Studio, a visual debugger for RAG pipelines.