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.

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

New platform helps non-technical founders and teams implement AI inside real business workflows without hiring ...

Brave has introduced a new AI browsing feature that leverages Leo, its privacy-respecting AI assistant, to perform automated tasks for the user. Intended to assist with tasks such as autonomous web ...

Perforce Software's 2026 State of DevOps report examined how AI tools impact engineering roles, governance, and cloud costs.

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts ...