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.
Spring Boot is the most popular Java framework for building cloud-native applications, and Hibernate is the most popular object-relational mapping framework for implementing the JPA spec. This Spring ...
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.
The Jakarta Persistence API (JPA) is a specification that defines a standardized framework for data persistence. Persistence is the fundamental mechanism for saving and retrieving data over time. In ...
rsql-jpa-specification supports SpringBoot 4 since version 7.x. For SpringBoot 2 users, please continue to use version 5.x. For SpringBoot 3 users, please continue to ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...
Software engineer, writer, and foodie based out of Seattle. If you are creating a new Spring Boot project, one question you will inevitably need to answer is: What database should I use? Luckily, ...
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