Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.

Leverage AI as a personalised "code coach" to bridge the gap between manual testing and automation by translating plain ...

With more than 20% of organizations deploying updates multiple times per day, according to my company's study, the complexity of test authoring has grown significantly. Test authoring is the process ...

AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...

Rather than relying on predefined test cases or brittle automation scripts, its always-on QA teammates manage the testing ...

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 ...

In a recent article about upgrading continuous testing for generative AI, I asked how code generation tools, copilots, and other generative AI capabilities would impact quality assurance (QA) and ...

Palisade Research said AI developers may inadvertently reward models more for circumventing obstacles than for perfectly following instructions. Several artificial intelligence models ignored and ...