The plain-language authoring is what stands out to me. You describe the check in normal English and an agent drives the browser, so a UI change doesn't take the whole suite down the way a Selenium or Playwright script does. For teams without dedicated automation engineers, that's the difference between having regression coverage and skipping it.

The no-code approach is what sold us from the start. Being able to describe test scenarios in plain language meant we could involve anyone, including young interns with no automation background. It turned into a practical way to onboard them into quality testing for our websites, and they picked it up quickly. Over the past year, I’ve watched the product evolve at an impressive pace. New features kept arriving regularly, and it was clear the team was actively listening to feedback. Their support has also been outstanding. We started using Thunders fairly early on, and whenever we ran into an issue, their team responded quickly and was genuinely helpful. That kind of responsiveness makes a huge difference when you’re betting on a young product.

We use Thunders at Uptale and I’ve been really impressed by the product.<br><br>What stands out is the AI-native approach to QA automation. Plain-language test authoring combined with an agent that actually drives the browser makes testing much more approachable than maintaining traditional scripted test suites.<br><br>I especially like that it makes test automation accessible to our Product team, not just developers, so the people defining features and user flows can contribute directly to end-to-end testing. It also addresses a very concrete pain point for us: reducing the amount of manual regression testing we have to do before releasing to production.<br><br>The direction around reducing brittle test maintenance and making broader end-to-end coverage easier to achieve is very compelling.