Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

Learn what generative AI testing is, why traditional testing falls short, and how businesses can ensure safe, accurate, and ...

Explore how AI agents and Playwright MCP act as testing helpers that speed up web testing while you stay in control ...

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 ...

Ameen Shahid Kolothum Thodika is at the forefront of integrating advanced AI technologies, including agentic AI and ...

When teams treat AI as a tool for insight rather than full automation, and keep human judgment at the center, adoption ...

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, ...

The agency’s sweeping rollout and staff challenge underscore rising momentum behind agentic AI: advanced, multiagent systems now fueling early pilots in medical writing, patient engagement and ...

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 ...

Agentic artificial intelligence is the new belle of the software ball. C-level executives want their companies to use AI agents to move faster, therefore driving vendors to deliver AI agent-driven ...

Brave has introduced a new AI browsing feature that leverages Leo, its privacy-respecting AI assistant, to perform automated ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...