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

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

Overview: Automation testing helps find bugs early and supports faster software releases.Repetitive and critical test cases ...

If you've ever spent hours debugging a test that shouldn't have failed—only to find out it broke because of one tiny UI change—you're not alone. And Gopinath Kathiresan knows that frustration well.

G2’s Winter 2026 report highlights growing adoption of AI-driven automation testing tools, reflecting how user feedback is ...

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.

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 ...

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 ...

RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...