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 ...

As genAI takes hold in the enterprise, improvisation is giving way to engineering. Can organizations build the guardrails ...

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 ...

As the big cloud providers prioritize artificial intelligence, they risk leaving traditional cloud technologies—and cloud ...

Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in.

Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing ...

The model is now embedded across Google’s core products, introducing new agent features and automation tools that raise strategic questions for enterprise IT leaders.