3 articles
How enterprises test APIs and applications backed by non-deterministic AI models. Property-based assertions, statistical thresholds, golden-set evaluation, and the governance pattern that satisfies audit without forcing the model to be deterministic.
Explore how AI is transforming software testing—from autonomous test generation and self-healing tests to predictive quality analytics and AI pair testers. Learn what the next 5 years hold for QA professionals and testing strategy.
Build a testing strategy for AI-powered applications that handles non-deterministic outputs, model drift, prompt engineering, and AI safety. Covers evaluation frameworks, statistical testing, and quality gates for AI features.
