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.

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, ...

Edith Harbaugh is the CEO and Co-founder of LaunchDarkly.

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 ...

Anthropic's latest AI model has found more than 500 previously unknown high-severity security flaws in open-source libraries with little to no prompting, the company shared first with Axios. Why it ...

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...

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

The 13th annual report reveals a 24% income gap between strategic leaders and ICs, while new data shows hands-on AI ...

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

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 ...