Today, we’re excited to share how we are bringing Automatic Feedback-Directed Optimization (AutoFDO) to the Android kernel to deliver significant performance wins for users.

We want to make it faster and easier for you to build high-quality Android apps, and one way we’re helping you be more productive is by putting AI at your fingertips.

Android has always driven innovation in the industry through its unique flexibility and openness.

Android Studio Panda 2 is now stable and ready for you to use in production.

We are excited to announce a major milestone in bringing mobile and desktop computing closer together on Android: connected display support has reached general availability with the Android 16 QPR3 release!

In January we announced Android Studio Otter 3 Feature Drop in stable, including Agent Mode enhancements and many other updates to provide more control and flexibility over using AI to help you build high quality Android apps.

Today we're releasing the second beta of Android 17, continuing our work to build a platform that prioritizes privacy, security, and refined performance.

User expectations for AI on their devices are fundamentally shifting how they interact with their apps.

In Android 17, apps targeting SDK 37 or higher will receive a new implementation of MessageQueue where the implementation is lock-free.

Today we're releasing the first beta of Android 17, continuing our work to build a platform that prioritizes privacy, security, and refined performance.

With the release of Android 16 in 2025, we shared our vision for a device ecosystem where apps adapt seamlessly to any screen—whether it’s a phone, foldable, tablet, desktop, car display, or XR. Users expect their apps to work everywhere.

Today, we’re announcing a suite of upgrades to the Google Play Console and beyond, giving you greater visibility into your financial performance and specific, data-backed steps to improve it.

To further help bring your ML Kit Prompt API use cases to production, we are excited to announce Automated Prompt Optimization (APO) targeting On-Device models on Vertex AI. Automated Prompt Optimization is a tool that helps you automatically find the optimal prompt for your use cases.

The Embedded Photo Picker: A more seamless way to privately request photos and videos in your app.

Trade-in mode: faster assessment of a factory-reset phone or tablet, bypassing setup wizard, a new feature on Android 16 and above.