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, ...

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 ...

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

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern testing, while highlighting the practical gaps that slow adoption. Based on ...

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

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.

A software developer lost their job after using AI to write code that caused a big problem at work. The developer posted about the incident on Reddit,.