AI app for it and development · no coding needed
Mobile app device test automation workbench
Reduce regression time and escaped defects while keeping test ownership in the team.
Made for: Mobile engineering teams shipping iOS and Android apps
What it does for you
The problem
Manual device testing and brittle test scripts slow releases and miss bugs that only appear on real hardware.
What it gives you
Reviewed test runs with artifacts, crash reports and merge gates
What you give it
App buildsplain-English test descriptionsdevice profilesCI settings
Build your own version of NativeBridge, Autosana and more
One app with what these 5 AI tools do, yours to keep and change: NativeBridge, Autosana, QualGent, QualGent AI, Revyl.
Everything these tools do, in one app
- Real device testing Run tests on actual iOS and Android devices for accurate environment simulation.Found in NativeBridge, QualGent, QualGent AI and 1 more
- Emulator support Run tests on emulators as an alternative to physical devices.Found in NativeBridge, QualGent
- Natural language test creation Define tests using plain-English descriptions instead of writing code.Found in NativeBridge, Autosana, QualGent and 1 more
- AI test generation Automatically generate test scripts from descriptions or app context.Found in NativeBridge, Autosana, QualGent and 1 more
- Self-healing tests Automatically adapt tests to UI changes and dynamic elements to reduce maintenance.Found in QualGent, QualGent AI
- Parallel test execution Run many tests simultaneously to speed up regression cycles.Found in QualGent
- CI/CD integration Embed testing into continuous integration and deployment pipelines.Found in Autosana, QualGent, Revyl
- Code repository integration Connect directly to code repositories for seamless workflow integration.Found in Autosana
- Editor integrations Integrate with code editors for earlier-stage testing.Found in NativeBridge
- Crash and performance reporting Capture crashes and performance metrics like CPU, memory, and FPS.Found in NativeBridge, Revyl
- Network waterfall Show all network requests and responses during a test session.Found in Revyl
- State and file-system diffing Compare app state and file system changes across runs to catch accumulating issues.Found in Revyl
- Screen and flow mapping Automatically map all screens and flows in the app to keep documentation current.Found in Revyl
- Bug reporting and sharing Generate rich bug reports and share results via links or direct notifications.Found in NativeBridge, Autosana, QualGent and 1 more
- Test artifacts Provide video recordings, logs, and detailed reports for each test run.Found in QualGent AI, Revyl
- CLI and GitHub Action Trigger cloud device runs from the terminal or CI and gate merges based on test results.Found in Revyl
- Real-time feedback Catch issues early with immediate feedback loops.Found in Autosana
- Multi-account and landscape mode Support testing scenarios with multiple accounts and landscape orientation.Found in QualGent
How it works, step by step
- Run tests on actual iOS and Android devices
- Run tests on emulators as an alternative
- Define tests in plain-English descriptions
- Generate test scripts from descriptions or app context
- Adapt tests to UI changes and dynamic elements
- Run many tests simultaneously
- Embed testing into CI/CD pipelines
- Connect directly to code repositories
- Integrate with code editors for earlier testing
- Capture crashes and performance metrics
- Show network requests and responses during a session
- Compare app state and file-system changes across runs
- Map all screens and flows automatically
- Generate rich bug reports and share results
- Provide video recordings, logs and detailed reports
- Trigger cloud device runs from terminal or CI and gate merges
- Catch issues early with immediate feedback
- Support multi-account and landscape mode scenarios
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Mobile app device test automation workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Mobile app device test automation workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data200 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce regression time and escaped defects while keeping test ownership in the team. For mobile engineering teams shipping iOS and Android apps, convert app builds, plain-English test descriptions, device profiles and CI settings into reviewed test runs with artifacts, crash reports and merge gates. The benefit is a testable hypothesis, measured through regression cycle time and escaped defects per release; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect app builds, plain-English test descriptions, device profiles and CI settings, then follow this sequence: 1. Run tests on actual iOS and Android devices. 2. Run tests on emulators as an alternative. 3. Define tests in plain-English descriptions. 4. Generate test scripts from descriptions or app context. 5. Adapt tests to UI changes and dynamic elements. 6. Run many tests simultaneously. 7. Embed testing into CI/CD pipelines. 8. Connect directly to code repositories. 9. Integrate with code editors for earlier testing. 10. Capture crashes and performance metrics. 11. Show network requests and responses during a session. 12. Compare app state and file-system changes across runs. 13. Map all screens and flows automatically. 14. Generate rich bug reports and share results. 15. Provide video recordings, logs and detailed reports. 16. Trigger cloud device runs from terminal or CI and gate merges. 17. Catch issues early with immediate feedback. 18. Support multi-account and landscape mode scenarios. Resolve uncertain cases with qualified reviewers, approve reviewed test runs with artifacts, crash reports and merge gates, and measure regression cycle time and escaped defects per release against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed app build and device matrix; final release decisions and bug triage remain engineering. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve code ownership, source attribution, test accuracy and usage permissions. Engineering leads approve substantive changes and release scope. One fixed app build and device matrix; final release decisions and bug triage remain engineering. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed app build and device matrix; final release decisions and bug triage remain engineering. Implement one approved input format, a bounded representative case set and the first two task modules: run tests on actual iOS and Android devices; run tests on emulators as an alternative. Support the third module with operator review: define tests in plain-English descriptions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
App-owned repositories, authorized CI systems and permitted device clouds. Cloud device storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Test authoring and device selection, Live run and artifact review, CI gate and release report. Use a thumbnail gallery for test suites, a large central run canvas, and a right-hand panel for device profiles, logs and comments. Let users compare runs side by side. Display draft, running, passed and failed states. Provide a shareable run link with comments anchored to the relevant step. Make the task-specific outcome reviewed test runs with artifacts, crash reports and merge gates visible beside its evidence, review state and value baseline.
