Strategic data selection and curation practices significantly reduce annotation costs and drive development productivity.

Abstract: Data lakes are typically large data repositories where enterprises store data in a variety of data formats. From the perspective of data storage, data can be categorized into structured, ...

Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...

Java annotations were designed for metadata. Spring uses them for dependency injection. Lombok uses them for code generation. JPA uses them for ORM mapping. We use them to write entire programs. This ...

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 ...

The introduction of Spring annotations such as @Bean and @Component, which greatly simplify how to provision and autowire Spring managed beans, triggered a mass exodus from XML-based Spring ...

Before Spring introduced custom annotations, developers had to manage configurations like email validation using XML configuration files. The XML configuration would define beans, validators, and ...

Building web services and documenting RESTful endpoints is no easy task, but testing RESTful APIs has always been a particularly sore point with Spring Boot and Java. Sure, you can test a GET ...