AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

When engineers feel insecure, they ship AI-generated output to protect their image rather than admit gaps in understanding.

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 ...

Poor software quality cost the U.S. economy an estimated $2.41 trillion annually in 2022, according to the Consortium for ...

Autonomous AI testing agents and hyper-automation are rapidly becoming go-to solutions in quality assurance, writes MANDLA MBONAMBI, CEO of Africonology.

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 ...