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

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

This past year, I traveled worldwide for our LambdaTest Velocity Tour, speaking with QA leaders and technology experts to learn how companies scale with AI. Every executive I spoke with noted the same ...

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, ...

Quality assurance has always been much more than finding bugs. It’s a matter of providing the confidence that software will work as it should, even under the messiest real-world conditions. For years, ...

Healthcare and finance apps operate in two of the most demanding digital environments today. Both industries deal with ...

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 ...

Tired of headlines about AI yet? Unfortunately, here’s another one: in Square Enix’s latest Business Plan report, the company committed to a goal of automating 70% of its QA and debugging tasks in ...