Spring Labs secures $5M to scale its AI compliance platform for fintechs. Learn how their new agentic AI automates complex financial workflows.

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.

OpenAI is moving away from models that require heavy hand-holding and toward systems that can better infer the user’s goal, ...

Intel ( INTC +10.75%) is having a moment. The stock spiked to an all-time high on Thursday after President Donald Trump said ...

Get traffic data and keyword intel on competitors instantly. Whether your marketing team can take advantage of AI agents depends less on the agent tools themselves and more on whether your existing ...

In the interim, Microsoft has made considerable efforts to build its own AI infrastructure to reduce its reliance on OpenAI ...

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 ...

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 ...

As pointed out in previous recipes, an agent is ultimately just an LLM with tools, running in a loop to achieve some goal. But when the goal is complex, a single agent doesn’t need to shoulder the ...

The decade-old ActiveMQ flaw was uncovered and weaponized in minutes, showing AI’s exploit-building potential amid the Mythos hype. Anthropic’s Claude dug up a critical remote code execution (RCE) bug ...

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.