Generative AI (GenAI) isn’t just changing how code is written; it’s reshaping how we define software quality. As AI tools become more embedded in software development workflows, the role of quality ...

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 ...

In the last decade, software engineering has undergone a rapid transformation driven by cloud computing, DevOps, big data, and continuous delivery. Yet among all these advancements, one force stands ...

5 ways you can stop testing AI and start scaling it responsibly in 2026 ...

Artificial intelligence (AI) models are being applied to almost everything, from helping people write emails to ...

Unlike regular search engines, AI browsers suffer from algorithmic inconsistency due to their black-box nature — and even ...

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 ...

AI is moving fast—and so is the pressure on teams to keep up. As 2026 begins, many QA and development leaders are asking the same question: How do we make AI actually helpful, not overwhelming?

The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...

The ongoing AI boom is transforming the online user experience (UX) at a rapid pace, and the development of automation technology is redefining usability testing. The global AI-enabled testing market ...

Mechanical materials testing is a fundamental method in quality assurance, utilized across material development, production, and laboratory settings. However, the integration of artificial ...