NativeBridge
Automate mobile testing on real devices with AI
801 followers
Automate mobile testing on real devices with AI
801 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.
Lancepilot
Congratulations to the maker team! Shipping infra-heavy products deserve a lot of respect for the execution. 👏🏻
NativeBridge
@istiakahmad Thank you! Appreciate the kind words - infra has definitely been the hardest (and most rewarding) part to build 🙏
How does NativeBridge compares with BrowserStack or similar tools in day-to-day workflows? 🤔
NativeBridge
@ragsyme Good question Raghav. Tools like BrowserStack are strong at device access, and many teams already rely on them for that. NativeBridge focuses more on the day-to-day workflow around testing - not just running tests, but how teams share builds, reproduce issues, and stay aligned.
With NativeBridge, real devices, AI-driven testing, and collaboration live in one place. The Magic Link acts as a single source of truth where everyone sees the same app, on the same device, with full context — we often think of it as Figma for mobile testing.
Another difference is where it fits in the lifecycle. BrowserStack is usually picked up by QA, while NativeBridge is used earlier - starting in development (via our VSCode/Cursor extension) and continuing through QA, reviews, and feedback, all without switching tools or links.
Emulators just don't cut it anymore. We use NativeBridge to ensure every form created with Dashform renders perfectly on real iOS and Android hardware. The ability to instantly spin up a real device via a 'Magic Link' allows our team to squash mobile-specific bugs in minutes. It’s essential for maintaining our 5-star mobile UX.
Swytchcode
Awesome tool for testing. Does it send crash reports on mail?
NativeBridge
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.
Congratulations on the launch 🎉 🎉 🎉
NativeBridge
@shubham_pratap Thanks Shubham! Really appreciate the support!
CodeDesign.ai
NativeBridge
@mssulthan Appreciate the support!