Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

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 ...

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, ...

Founder and CEO of ZAPTEST, with 20 years of experience in Software Automation for Testing + RPA processes, and application development. Business operations (BizOps) automation is an inevitable future ...

In today's fast-paced world of software development, automation has become a cornerstone of testing, ensuring quality and efficiency amidst increasingly complex applications. With faster release ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

In this interview, Sammi Sadler, Senior Applications Engineer at Instron, provides insights into how automation is being introduced for plastics testing and the opportunities this can bring. How would ...

Automated testing in game development is increasing in popularity, but still very much a niche discipline. It has proven ...

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 ...

Artificial intelligence is no longer a futuristic abstraction—it’s an economic force reshaping how work gets done, how wealth is created, ...