Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...

Explore expert insights on ensuring successful PoCs and MVPs in the AI era to maximize ROI. Understand the key strategies to ...

Cursor claims Nvidia engineers produce three times more code with AI tools while productivity and fun go through the roof ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

The RidgeBot® listing empowers organizations and partners to automate risk validation, reduce exposure, and streamline compliance directly within their Azure environments. Ridge Security, a leading ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

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