Choosing the Right AI for QA: A Practical Framework for Technical Leaders

AI-powered QA tools are seemingly popping up overnight, but not all are created equal. Some execute pre-recorded actions or use codeless automation, and others generate deterministic test code directly. Each approach has strengths and drawbacks that affect your team’s test coverage, accuracy, reliability, and maintenance burden.