Tool selection gets messy once the first pull-request comments arrive. This list focuses on what happens after procurement: ...

AI is in headlines everywhere. Despite this constant buzz, testers have yet to fully adopt AI. This may seem like quite the paradox. While AI technology makes big promises, many testing teams remain ...

Real software isn't separate front-end, back-end and infrastructure components. They must work together seamlessly.

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 ...

The shifting timeline is a setback for Meta’s ability to monetize its massive investments in building frontier AI models.