In software testing, Agentic AI changes how testing is handled across applications. Instead of relying solely on fixed ...

As AI technology and no-code automation tools continue to evolve, manual testing seems to be losing its edge. This perception may or may not align with reality, as multiple factors are impacting ...

Testing is an essential part of any software development project. The quality of the application and accordingly its success with the end-user depends on it. Testing is divided into two key types: ...

As AI tools now handle 67% of automated test generation, the role of the manual QA tester has not disappeared but evolved ...

The QA landscape has shifted dramatically in 2026, with ChatGPT moving from a novelty to a critical infrastructure tool for testing workflows. New features like Memory 3.0 and enhanced Automations ...

The report is based on Applause's 2026 accessibility survey of more than 500 development and QA professionals and over 1,000 people who use assistive tech to interact with apps and websites. For 66% ...

What if the most time-consuming, error-prone aspect of web development could be transformed into a seamless, automated process? For years, developers have wrestled with the challenges of ...

AI mobile testing refers to the use of artificial intelligence, including machine learning and natural language processing, to handle different stages of the mobile testing lifecycle. Instead of ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...