The web app gets a regression suite. The mobile app gets a prayer.
Most teams invest heavily in web test coverage and treat mobile as an afterthought: a manual pass before release, a device or two someone happens to own, and a hope that App Store review doesn't surface something embarrassing. Native mobile testing usually means a separate toolchain, separate scripting expertise in Appium or XCUITest, and a device lab most teams don't want to build just to keep a mobile app honest.
Same Studio. Same plain language. Different runtime.
Upload your build.
Drop an Android .apk or iOS .app build into Donobu Studio's mobile view. No separate environment to stand up.
Describe the flow, same as web.
The same plain-language authoring you already use for browser testing: "Open the app, log in, add an item to the cart, check out."
Donobu drives it through Appium.
Under the hood, Donobu uses the same AI-driven exploration and self-healing model as web testing, with selectors generated and tuned for native mobile UI elements instead of reused from browser DOM patterns.
Repeated runs get faster.
Donobu reuses existing Appium sessions where possible, instead of cold-starting a new session on every run.
Appium under the hood, not a Donobu-only format.
Mobile flows run on Appium, the open, widely used standard for mobile automation, not a proprietary Donobu format you can only run inside our product. Execution is local-first, on your machine or in your VPC. If you ever move on from Donobu, your flows and what they test don't disappear into a system only we can open.
Not a bolt-on. Part of the same platform.
If your team already uses Donobu for web testing, mobile isn't a new tool to learn or a new vendor to manage. It's the same Studio, the same plain-language flows, and the same self-healing model, extended to native Android and iOS builds.
More ways teams use Donobu
Functional testing
Turn critical user journeys into a regression suite that never goes stale.
See functional testingExploratory testing
Point an agent at your app and see what's actually broken, no script required.
See exploratory testing