Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

New platform helps non-technical founders and teams implement AI inside real business workflows without hiring ...

SmartBear has launched Reflect Mobile, an AI-powered, no-code, test automation tool kit that enables QA professionals to test native apps across the iOS and Android mobile platforms. Announced June 11 ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...

Anthropic, a US-based company that builds advanced AI systems designed to work safely and reliably inside organisations, drew ...

How real is the AI threat to software companies? CNBC put it to the test by vibe-coding a Monday.com replacement.