
NativeBridge
Automate mobile testing on real devices with AI
804 followers
Automate mobile testing on real devices with AI
804 followers
Instant access to real iOS and Android devices with one Magic Link. Run AI-powered tests using Maestro, capture crashes, and share rich bug reports. Turn mobile testing into a superpower.











Great idea! I’ve seen a similar service before for testing across different browsers for web — it took screenshots of individual pages. You went further, and that’s really cool.
Can you run tests in batches? For example, my QA provides a group of 50 test cases, you execute all of them on selected devices, record the results on video, and send a report? That would be a really awesome feature.
NativeBridge
@mykyta_semenov_ Yes, you can run tests in batches (even through CI/CD) on selected devices. After every test execution, NativeBridge generates a detailed report including video recording of the execution and other parameters like CPU usage, FPS etc.
Instant device access via a Magic Link is a strong abstraction, especially for teams that don’t want to manage device farms or flaky simulators. The focus on real devices + shareable bug reports is compelling!
A few questions from an engineering and team-workflow perspective:
How do you think about reliability and isolation when multiple users access shared real devices?
How deep is the Maestro integration (CI hooks, parallel runs, artifact retention)?
Any plans for API access or integrations with issue trackers (Jira, Linear, GitHub)?
How are we adopting AI-Driven test automation here?
This could meaningfully reduce friction in mobile QA if it scales predictably.
NativeBridge
@manesh_jhawar Great questions Manesh, I’ll try to answer these concisely and from an engineering / workflow lens.
Reliability & isolation:
Magic Links don’t mean shared state. Each session is isolated at the device/session level with scheduling and cleanup in between runs, so users never step on each other’s context. Real devices are reserved per session, not multiplexed, which keeps behavior predictable.
Maestro integration:
Today we support generating and executing Maestro flows reliably on real devices, with logs and artifacts retained per run. CI hooks and parallel execution are actively being rolled out, the goal is for teams to treat NativeBridge as a drop-in execution layer for existing pipelines, not a silo.
APIs & integrations:
Yes, we already have direct integration support with JIRA and Slack. And have created examples for how you can integrate NativeBridge into your CI/CD workflow.
AI-driven automation:
AI is used to convert plain-English flows into executable test automation and to reason about app state during execution. The intent is to reduce scripting and maintenance overhead, not replace deterministic test execution - humans still control what gets tested, AI helps with how.
Totally agree with your last point - predictability and scale are the bar. We’ve been deliberately slow on expansion to make sure the core workflow behaves reliably before pushing breadth. Happy to go deeper on any of these.
Congrats on the launch team Native Bridge, this looks like a lot of hard work done well. What’s next on the roadmap?
NativeBridge
@amit_tolani Thank you Amit! Near-term, we’re focused on scaling reliability and concurrency on real devices, deepening CI integrations, and making AI-driven automation more robust for complex flows. Longer term, the goal is to make NativeBridge the default workflow layer for mobile testing - from development through QA, reviews, and release.
Swytchcode
Awesome tool for testing. Does it send crash reports on mail?
NativeBridge
NativeBridge
@danagoston NativeBridge goes beyond device access by focusing on the entire testing workflow. It brings real devices, AI-driven testing, and team collaboration into one shared experience.
With a single Magic Link, everyone sees the same app on the same device think Figma for mobile testing. Unlike QA-only tools, NativeBridge starts at development and flows through QA and feedback, all in one place.
Jinna.ai
Cool! Is it indeed real devices plugged in somewhere on Earth, or smart virtualization?
NativeBridge
@nikitaeverywhere yes, its actual devices plugged into our servers being streamed to you with minimal latency! 🙌
NativeBridge
@kruti_parekh Thanks Kruti! Typically within seconds(yes!) - no setup, just pick a device and start testing.