AI Tools for Testing: How to Choose the Right Approach for QA
AI-powered QA tools are popping up overnight, but they’re not all doing the same thing. Some “heal” by adapting on the fly, others 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.
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Staff Engineering Lead at QA Wolf
Host / Producer at QA Wolf
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