Ramus Launched Cloud-Based Android Emulator Service

The platform introduces cloud-hosted device testing with integrated AI agent support for mobile developers.

Updated on Sept. 30, 2026 in Artificial Intelligence

Ramus Launched Cloud-Based Android Emulator Service

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Ramus has launched a new cloud-based Android emulator service currently available in an alpha testing period. The platform is designed to streamline mobile development by allowing developers to test applications directly within isolated virtual machines.

Why it matters

The service aims to reduce device setup overhead for developers by offering browser-based and command-line access to virtualized environments. By integrating AI agents, the platform enables automated testing workflows that interact with mobile apps.

Signed-in accounts can run two concurrent sessions and upload APK files up to 300 MB. Trial users receive 60 minutes of CLI access per session with a 150 MB file limit, restricted to three trials per IP address.

The players

Ramus

Ramus is a technology company providing cloud-hosted infrastructure and emulation tools for mobile application development.

GitHub

GitHub is a global software development platform that allows developers to host, review, and manage code repositories.

The details

Developers can connect GitHub repositories to generate live pull request previews or upload APK files for testing. The service supports native Android, React Native, Flutter, Expo, and Jetpack Compose, with AI agents like Cursor, Claude Code, and Codex capable of monitoring app behavior.

Timeline

  1. September 30, 2026: The cloud-based Android emulator platform entered its alpha testing stage.

The Tech Race

This release follows the trend of shifting development environments from local machines to browser-accessible cloud infrastructure. It directly challenges traditional workflows by moving the legacy reliance on the Android SDK emulator toward a more agile, virtualized paradigm.

Developers can now test apps without managing local hardware setups, potentially speeding up mobile deployment times significantly. Users can immediately leverage the alpha period to integrate AI agents into their existing GitHub-based CI/CD pipelines.

The takeaway

Developers looking to optimize testing should evaluate if cloud-based emulators meet their project requirements during this alpha phase. This shift toward virtualized testing environments reflects a broader industry movement to prioritize speed and automated AI-driven debugging.

Further reading

For additional context on how evolving tools change developer workflows, see our latest coverage on Artificial Intelligence.

Source note: This article includes information reported by Dynamic Business.

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Do you believe using AI agents to automate software testing improves your development workflow?