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, ...

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern testing, while highlighting the practical gaps that slow adoption. Based on ...

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 ...

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

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 ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.

– Case studies demonstrate measurable improvements in release cycles, error reduction, and code quality metrics The webinar addressed how traditional SDLC methods ...