The enhancements in Horizon Catalog would allow enterprises to build context for AI-driven applications and autonomous agents ...

Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full ...

The new markdown-based format aims to provide structured, natural language workflows for AI agents, addressing ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing.

For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one.

Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s ...

Updated AI model for coding, agents, and computer use is meaningfully better at everyday tasks like deep research and working ...

The latest version also executes malicious code during the preinstall phase, and is bigger and faster than the first wave, ...

As genAI takes hold in the enterprise, improvisation is giving way to engineering. Can organizations build the guardrails needed to turn clever prompts into dependable systems?

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

It’s not surprising that developers have become increasingly dependent on the open source PostgreSQL, the nearly 30-year-old ...