AI testing tools are becoming part of the normal QA conversation. They can generate test cases, help with automation, ...

AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

Web and mobile testing company BrowserStack Inc. today announced the launch of BrowserStack AI, a suite of artificial intelligence agents designed to automate and enhance every stage of the software ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Software testing ...

Fully automated testing is being replaced with a hybrid model, as "elite human expertise remains foundational".

TwinCAT CoAgent delivers powerful AI-assisted engineering and programming support across every stage of the automation ...

As new cloud, API, identity and application environments evolve at a rapid pace, continuous security testing is becoming a ...

Emerson has expanded NI Nigel AI across its test software portfolio, introducing new prompt-based code generation in the NI ...

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 ...

AI coding assistants can speed up bounded tasks, but research shows security and review risks rise in complex codebases.