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

For the past few years, we have watched agentic AI systems generate impressive demonstrations. They write code that passes test cases. They search the web and answer complex questions. They navigate ...

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 ...

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 ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

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, ...