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 ...

Microsoft has said that it will be shutting down the Exchange Web Services Application Programming Interface for Exchange ...

F5 launches AI Security Platform to put security leaders in control of enterprise AI risk (F5, Inc.) F5 acquires SurePath AI to enhance new AI Security Platform, tackle shadow AI risks, and deliver ...

Neotys, a leader in easy-to-use, load testing and performance monitoring tools for web and mobile applications, today announced NeoLoad 5.2, an enhanced version of its load and performance testing ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.

Foundational web development practices still shape how websites and web applications perform, protect users and hold up when ...

Explore the leading application security tools of 2026 designed for enterprises. Understand their features, pricing models, and integration guidance for Indian and APAC businesses to enhance cyber ...

An API for travel management. It is built with Java, Spring Boot, and Spring Framework. A toy-project to serve as a theoretical basis for the Medium series of articles I wrote about Java+Spring.

The AWS SDK for Java enables Java developers to easily work with Amazon Web Services and build scalable solutions with Amazon S3, Amazon DynamoDB, Amazon Glacier, and more. See the AWS SDK for Java ...

Generative AI isn’t going away, that’s for sure. But that doesn’t mean we have to live with the most dangerous and problematic aspects of gen-AI. Here’s four things that need to happen for generative ...

OpenAI launched its first model on non-Nvidia hardware in February, slashing AI coding response times from seconds to milliseconds — and in less than five months, that experiment has produced a ...