The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

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

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

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, ...

Imagine waking up to find that while you slept, a complex feature for your app was not only coded but also tested and debugged, all without your direct involvement. This isn’t a scene from a sci-fi ...

That’s the question driving Treegress, a new AI-native QA platform that offers more than “no-code” convenience. Treegress puts software testing on autopilot. No setup, no scripting: just input a URL, ...

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 ...

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 ...

Learn how to use no-code AI automation and workflow automation tools to build simple, powerful AI workflows that streamline repetitive tasks without any coding skills needed. Pixabay, geralt A growing ...