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

Autosana Inc., a startup building an agentic artificial intelligence platform for mobile and web app quality assurance, said ...

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, ...

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.

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

Healthcare is investing in AI. But most operating models haven’t changed Health systems have long had more manual work to do ...

New upgrades enable QA teams to refine test cases conversationally and generate outputs aligned with organizational standards ...

Big, painful ERP migrations are fading, replaced by agentic SDLC that turns rigid integrations into adaptive, self-healing finance systems.