Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to daysQA flow, ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

Among such innovators leading this change, Automation Lead Mohnish Neelapu stands at the forefront of the movement to ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Here's how AI-driven, agentic systems are reshaping software quality engineering, and what organizations can do to prepare ...

AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their ...

What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...

G2’s Winter 2026 report highlights growing adoption of AI-driven automation testing tools, reflecting how user feedback is shaping enterprise QA and testing decisions.

Testing an AI agent for donor tissue screening at Evergen surfaces more than technical performance questions. The project ...

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 ...

New tool enables enterprise-scale evaluation of production AI agents through digital twins and synthetic customers.