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.

If you’re a technical leader trying to separate durable regression coverage from flashy demos, you need a clear way to evaluate what you’re actually buying.

In this webinar with QA Wolf Staff Engineering Lead Yurij Mikhalevich and host Caleb Masters, you’ll learn:

• The four main categories for AI-powered QA testing: Agentic Automated Testing, Agentic Manual Testing, IDE Co-pilots, and Session Recorders.
• How each approach addresses planning, creation, execution, maintenance, and bug reporting.
• The benefits, limitations, and trade-offs of each method.
• A practical framework to evaluate tools using criteria like determinism, verifiability, and test ownership.

Join us to navigate the AI-powered QA landscape so that you can make confident, informed buying decisions.