The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...

Developing an LLM testing strategy is challenging because the model’s inputs are open-ended and responses are non-deterministic. AI agents couple language models with the ability to take ...

AI is rapidly changing how software is built but most testing teams are still unsure how to use it safely, effectively, and ...

This article is authored by Harry Rao, founder and CEO, TestGrid.

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 ...

Noise, vibration, and harshness (NVH) testing is entering a period of structural change, and the timing is difficult. The global NVH testing market is projected to grow from $2.58 billion in 2025 to ...