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 ...
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.
With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
Spring Framework 7.0 retains a JDK 17 baseline while at the same time recommending JDK 25 as the latest LTS release. It also introduces a Jakarta EE 11 baseline and embraces Kotlin 2.2 as well as ...
Abstract: Continuum robots have gained significant attention for endoluminal deployment due to their ability to operate in constrained environments. However, the complexity of many continuum robotic ...
Abstract: This research investigates the efficient and optimized deployment of full stack applications using ReactJS and Spring Boot on the Amazon Web Services (A WS) Cloud to enhance scalability, ...
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