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, ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

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

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

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 ...

How real is the AI threat to software companies? CNBC put it to the test by vibe-coding a Monday.com replacement.

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

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 ...

Botgauge AI, a US-based autonomous software testing startup, has raised $2 million led by Surface Ventures, with participation from IA Seed Ventures and Saka Ventures.