Changelog

Test on Any Android Device and OS. Tablets Too.

April 6, 2026

Whether your users have high-powered tablets or low-cost phones, your app should work across the entire Android ecosystem. QA Wolf’s Agentic Testing platform now gives you access to any device and OS combo that you need, and the infrastructure to run all your tests in parallel.

Read more: How we built it

Test on their device, not yours

The key to testing Android apps is to focus on the devices and OS combinations your users actually have in their hands. Every app has different needs and different customers—an app that works flawlessly on the latest flagship model could lag or crash on an entry-level model. A dual screen device will behave differently than a tablet. Testing your app on just one or two devices won’t give you full confidence. And testing on devices your customers don’t even use is a waste of time.

Build fast, test fast, ship fast

Our Android testing infrastructure gets mobile engineers up to speed with their web developer counterparts. Pre-warmed, GPU-powered emulators start up instantly and execute test suites in parallel, with real-world fidelity.

Support for biometrics, backgrounding, sensors, and radios means you can test the complex workflows where bugs are most likely to escape.

How do I choose the right AI testing tool for my team?

Choose based on what problem your team is trying to solve and what limitations you are willing to accept.

  • Agentic Automated Testing fits teams that want reliable end-to-end validation and are building automated tests as a long-term quality signal.
  • Agentic Manual Testing fits teams prioritizing fast setup and low authoring effort, with the understanding that tests may behave differently across runs and remain browser-only.
  • Session Recorders fit teams focused on bug reproduction and UI replay rather than validating backend behavior or side effects.

This choice is not about which tool is “best” overall, but about which trade-offs align with your team’s goals, risk tolerance, and ownership model.

What's the difference between code-based and codeless AI testing tools?

Code-based, or Agentic Automated Testing QA Agents generate and maintain real test code (typically Playwright or Appium), so runs are deterministic, the logic is auditable, and tests are portable across environments. Codeless, or Agentic Manual Testing QA Agents hide the underlying implementation and rely on adaptive locators, natural-language abstraction, or vision-based matching to decide what to click and verify at runtime. That abstraction can reduce maintenance, but it also introduces non-determinism (two runs can behave differently), increases vendor lock-in, and can make it harder to prove exactly what the test validated.

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