Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

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 ...

I would like to contribute a new example to this repository — a Spring Boot + Thymeleaf + MySQL web application fully containerized using Docker. The project will demonstrate how to run a Java-based ...

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This paper aims to analyze and review the current-day significance of the Java Spring Boot Framework in software development by scanning through various research papers, technical articles, and case ...

Resume Analyser is an AI-powered full-stack application designed to parse resumes, evaluate content quality, and generate a resume score with actionable feedback. The backend is developed using Spring ...

Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...

Logging in Java is a challenging task at the best of times. Whether it's the vast array of logging frameworks to choose from or the difficulty of configuring logging to balance reporting and ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...