… You can easily install the app on your device, share it with others for testing, or send it to Android Studio for any further development. The power of native Android While AI has made it easy to generate web-based apps, people want more on their mobile devices. …
… Latest results as of May 18th 2026, check here for updates 3: As always, performance and quality remain top priorities: Test multi-device interactions with the Android Emulator The Android Emulator now features a new networking stack that enables zero-configuration, peer-to-peer connectivity betwee… …
… It empowers your apps to behave like on device MCP servers, contributing functions that act as tools for use by agents and assistants. AppFunctions integration with Gemini is currently in a private preview with trusted testers, and you can begin preparing your apps already. …
… Instead of an OTP, you can provide a low-friction verification using the device's verified email. …
… Through deep integration between hardware and software, Android devices will be able to handle the heavy lifting of anticipating user needs, so your app can focus on delivering that experience at the right moment. …
… And we’re making it even more powerful by expanding support for new surfaces and devices. Store listing integration : Starting next month, existing users will see Engage SDK content directly on your store listings. …
… You can set explicit orchestration modes, such as PREFER ON DEVICE , PREFER CLOUD , ONLY ON DEVICE , or ONLY CLOUD , based on your need. …
… It unifies your workflow across Unity, Unreal Engine, and Godot by serving as a high-speed bridge that streams device-created perception data straight from your device into the engine of your choice. …
… You can use Live Updates to surface real-time, important information from your watch or mobile app, providing your users with timely updates at a glance. In your watch app, use Live Updates instead of the Ongoing Activities API to provide local update publishing on all Wear 7 devices. …
… On other devices, the models will initially run on a CPU implementation that is not representative of final production performance. If your device is not AICore-enabled, you can also test these models via the AI Edge Gallery app. We’ll provide support for more devices in the future. …