fidzu : Android

Beyond these forced terminations, unoptimized memory usage inevitably degrades the user experience. When the app approaches heap memory limits, it triggers frequent garbage collection-leading to noticeable UI stutters. Furthermore, when a device runs out of available memory, the system scrambles to reclaim pages, causing CPU strain, UI latency, and battery drain. If the memory shortage is too severe, it can cause Low Memory Killer (LMK) events that abruptly terminate background processes and force apps to have slow cold starts and lose user state.

To build highly performant apps and avoid these forced terminations, we recommend that you adopt the following memory optimization strategies:

1. Maximize bytecode optimization with R8
2. Optimize image loading
3. Detect and fix memory leaks with Android Studio
4. Trim memory when app leaves visible state
5. Advanced memory observability with ProfilingManager

Understanding Android 17 app memory limits

App memory limits are being introduced in Android 17 to prevent "one bad actor" from destroying the multitasking experience and stability of the user's entire device.

Here is a breakdown of the reasons driving this architectural change:

Maximize bytecode optimization with R8

A highly effective way to reduce your app's memory footprint is to enable the R8 optimizer. By shrinking classes, methods, and fields into shorter names and stripping out unused code and resources, R8 significantly reduces your app's memory footprint by minimizing the amount of resident code required during execution.

R8 minimizes resident code, shrinking the memory footprint and lowering LMK termination risk. This results in more frequent warm starts over slow cold starts. Additionally, streamlined bytecode reduces main-thread CPU overhead, directly cutting ANR rates for a more fluid user experience. For example, the digital bank Monzo enabled full R8 optimization and saw a 35% reduction in their ANR rate, a 30% improvement in cold start rate, and a 9% reduction in overall app size.

To properly configure R8 in your build.gradle file:

• Set isShrinkResources = true and isMinifyEnabled = true.
• Use proguard-android-optimize.txt instead of the legacy proguard-android.txt, which actually prevents optimizations and is no longer supported in Android Gradle Plugin 9.
• Remove android.enableR8.fullMode = false from your gradle.properties.

If you are using reflection in your code base, then add Keep rules to prevent R8 from optimizing those parts of the code. Make sure to scope the keep rules narrowly to get the maximum optimization.

To get the maximum optimization, make sure to follow these best practices in your keep rule file.

• Remove global options like -dontoptimize, -dontshrink, and -dontobfuscate that prevent R8 from optimizing the entire codebase
• Remove keep rules that prevent optimizing Android components like Activity, Services, Views or Broadcast receivers.
• Refine the broad package wide keep rules to target only specific classes or methods.

To see more best practices, view our keep rules documentation.

Library Developer R8 Best Practices

If you are a library developer, strictly place the rules your consumers need into your consumer-rules file, and keep your library's internal protection rules in your proguard-rules.pro file. For more information on how to optimize libraries, see Optimization for library authors.

R8 Configuration Analyzer

To audit your R8 optimization, use the Configuration Analyzer. Configuration analyzer shows the current state of optimization with Obfuscation, Optimization, and Shrinking scores. With configuration analyzer, you can also understand how many classes, methods or fields are prevented from optimization by each keep rule. Refine these broad package wide keep rules to unlock the maximum optimization.

Using configuration analyzer, you can also identify keep rules that are subsuming other keep rules, redundant keep rules and unused keep rules.

R8 Agent Skill

You can also leverage the R8 Agent Skill with Android Studio agent or other AI tools to resolve misconfigurations and refine your rules resulting in improved app performance. (Insights from AI-driven skills will require technical verification)

Bitmaps are usually the largest common objects residing in your app's memory. They represent the final stage of the image loading process where compressed files, like JPEGs or PNGs, are decoded into raw pixel data for display. This means a tiny 100KB compressed image can balloon into several megabytes of RAM because memory consumption is determined by the image's pixel dimensions and color depth. Since bitmap operations are frequently on the critical path to drawing frames, unoptimized images cause severe memory bloat and UI jank.

Google recommends leveraging image loading libraries Coil for Kotlin-first projects, particularly when developing with Jetpack Compose and Glide for Java-based applications.

Adopt these five best practices

1. Downsample images: If you're loading bitmaps manually, avoid loading a massive image into a tiny thumbnail view; use inSampleSize to load a smaller version. Glide and Coil downsamples images by default and you can configure this downsample strategy using DownsampleStrategy and ImageLoader respectively.
2. Cropping: Avoid embedding padding directly into an image file for letterboxing purposes (e.g., creating a transparent border to expand an image dimensions). Rather than baking in these borders, utilize InsetDrawable or apply padding directly within the View or Composable containing the bitmap.
3. Config: Balance memory and quality by choosing the right pixel format. Use RGB_565 when transparency isn't needed, which uses half the memory of the default ARGB_8888 format. In Glide you can configure this by using DecodeFormat and in Coil you can use bitmapConfig property.
4. Prioritize vector drawables: For basic geometric assets, leverage ShapeDrawable as a lightweight alternative to decoding rasterized bitmaps. By defining these assets once via XML, you ensure they scale seamlessly across all display densities while effectively eliminating resource-driven memory bloat.
5. Reuse: If your application manages Bitmaps manually then to minimize memory churn, when a bitmap is no longer required, the app should call bitmap.recycle() and immediately discard the Bitmap reference. If you use an image loading library like Glide or Coil, return the bitmap to the library's managed pool. By providing an existing buffer for future memory needs, the pool effectively avoids the overhead of new allocations.

Check out our documentation on Optimizing performance for images to learn more.

Android Studio tooling

You can also eliminate redundant bitmaps using Android Studio Narwhal 4. Here is how to hunt them down in five simple steps:

1. Open the Profiler tab in Android Studio
2. Click Heap Dump (or "Analyze Memory Usage") and hit record to take a snapshot of your app's current memory state.
3. Scan the analysis results for the yellow warning triangle ⚠️, which Android Studio uses to flag duplicate bitmaps being stored multiple times. Alternatively, navigate to the profiler header, choose "Filter by:" and pick the "Duplicate Bitmaps" setting.
4. Click on any flagged entry to open the Bitmap Preview pane, allowing you to see exactly which image is the repeat offender.
5. Use that visual confirmation to track down the redundant loading logic in your code and implement a better caching strategy.

Examples of common memory leaks

Memory leaks occur when an object persists in memory beyond its intended lifespan. This typically happens due to:

• Retaining references to Fragments, Activities, or Views that are no longer in use.
• Mismanaging Context references.
• Failing to properly unregister observers, listeners, and receivers.
• Creating static references to objects that are bound to components with shorter lifecycles.

Here are a few example scenarios:

import android.content.ComponentCallbacks2
// Other import statements.

class MainActivity : AppCompatActivity(), ComponentCallbacks2 {

    /**
     * Release memory when the UI becomes hidden or when system resources become low.
     * @param level the memory-related event that is raised.
     */
    override fun onTrimMemory(level: Int) {

        if (level >= ComponentCallbacks2.TRIM_MEMORY_UI_HIDDEN) {
            // Release memory related to UI elements, such as bitmap caches.
        }

        if (level >= ComponentCallbacks2.TRIM_MEMORY_BACKGROUND) {
            // Release memory related to background processing, such as by
            // closing a database connection.
        }
    }
}

  val profilingManager = 
applicationContext.getSystemService(ProfilingManager::class.java)
    val triggers = ArrayList()  


    triggers.add(ProfilingTrigger.Builder(
                 ProfilingTrigger.TRIGGER_TYPE_ANOMALY))
    val mainExecutor: Executor = Executors.newSingleThreadExecutor()
    val resultCallback = Consumer { profilingResult ->
        if (profilingResult.errorCode != ProfilingResult.ERROR_NONE) {
            // upload profile result to server for further analysis          
            setupProfileUploadWorker(profilingResult.resultFilePath)
        } 

    profilingManager.registerForAllProfilingResults(mainExecutor, resultCallback)
    profilingManager.addProfilingTriggers(triggers)

To help you build apps that stand out, we're diving into the key tools and libraries designed to optimize your core performance, extend the surfaces of your app to other devices, and streamline how your app handles high-quality media.

Here is a recap of the essential updates and sessions you need to know to deliver a next-level experience across form factors!

Supercharge your media pipeline with a complete, production-ready toolkit

It starts with high-fidelity capture using the CameraXViewfinder Composable, which ensures your preview remains perfectly scaled and responsive on any form factor, including foldables and tablets. Use this to build adaptive capture experiences like a picture-in-picture view for multi-tasking, or that take advantage of modern features like high-frame-rate or slow-motion capture with CameraX v1.5.

The new Media3 AI Effects library will provide a unified interface for premium features like Image & Video Enhance, Magic Eraser, and Studio Sound. This allows you to focus on the creative intent while Media3 handles the heavy lifting of choosing the most efficient and reliable path for the device. Then, use the latest improvements in multi-asset editing with Media3 Transformer to composite your edited videos together!

Complete the pipeline with tools designed for professional-grade export and viewing, including:

• CodecDB, which offers data-driven encoding recommendations tailored to specific chipsets, ensuring your exported videos maintain high visual quality with minimal noise or blurriness
• Scrubbing Mode in ExoPlayer to provide the buttery-smooth seeking experience users expect from premium media apps
• Enhanced Cast support with the new CastPlayer API in Media3

By unifying these technical pillars, you can build a cohesive, high-performance media journey that delivers both delight for your users and high ROI for your development team.

Today at Google I/O, we announced the many ways we're powering agentic workflows to increase your productivity and ensure your apps shine across the expanding Android ecosystem. Here's a recap of 17 of our favorite announcements for Android developers; you can also see what was announced last week in The Android Show: I/O Edition. Stay tuned over the next two days as we dive into all of the topics in more detail!

Build High Quality Android Apps Using Agents

1: Android CLI: helping you build with any agent, LLM, and tool

Android CLI is now stable. It offers programmatic tools that allow any AI agent, including Claude Code, Codex, or Antigravity, to perform core Android tasks much more easily and efficiently. With today's release, it also provides a bridge to tap directly into the "heavy-lifting" power of Android Studio to give you the production-ready polish needed for professional Android development. By leveraging the new android studio commands, developers can now grant their preferred agents the ability to perform semantic symbol resolution, analyze files for warnings, and even render Jetpack Compose previews. This release also enables official support for "Journeys" through new Android skills, which enables agents to execute end-to-end UI tests under your direction. Watch the developer keynote, and tune into the What's New in Android tools talk for more information.

2: Build production-ready apps with ease in Google AI Studio

Developers and creators can now build native Android apps, simply with a prompt in Google AI Studio. The apps are built with development best practices like Jetpack Compose, Kotlin, and APIs that leverage our recommended developer patterns. Google AI Studio enables developers to prototype, iterate via an embedded emulator, and deploy to physical devices without heavy local installations. Developers are then able to take those apps and share them to Android devices, as well as share them with others for testing through Google Play Console's internal testing track. If a developer wants to prepare their app for a wider release, they're able to take it to Android Studio for advanced debugging, testing, and UI polish. Watch the developer keynote, and tune into the What's New in Android tools talk for more information.

3: Accelerating AI coding assistance with Android Bench

Android Bench is our LLM leaderboard for Android development challenges. The goal is to accelerate model improvements, so you have more useful options for AI assistance. Many of you have been using open-weight models for AI assistance, so we're now adding commonly used ones, such as Gemma 4, to the leaderboard, so you can see how LLMs that offer offline access and additional flexibility for power-users measure up. We're continuously working on increasing the difficulty of challenges we're giving LLMs, to continue encouraging more useful improvements.

4: Convert iOS apps to Android with the Migration Assistant in Android Studio

The Migration Assistant in Android Studio is designed to port apps from platforms like iOS, React Native, or web frameworks to native Android. By simply selecting an existing project, developers can have the agent intelligently map features, convert assets like storyboards and SVGs, and implement Android best practices using Jetpack Compose and our recommended Jetpack libraries. This effectively transforms what used to be weeks of manual porting into a streamlined agentic workflow that only takes hours. We shared a preview of the incoming feature in the developer keynote.

Building AI Into Your Apps

5: Building Intelligent Apps with generative AI

Generative AI enables you to create apps that are more intelligent, personalized, and agentic than ever before. This year, we introduced the latest advancements in on-device intelligence with a preview of Gemini Nano 4 for tasks like data extraction and summarization. We also expanded cloud capabilities via Firebase AI Logic, allowing developers to leverage Gemini models with robust grounding (including URL, Maps, and web search) to build smarter, more capable assistants. Furthermore, we unveiled our hybrid inference approach and the new Agent Development Kit (ADK) for Android, alongside communication protocols like AG-UI and A2UI that simplify the creation of autonomous, agentic experiences. To start integrating these powerful features, explore the developer documentation, and watch the technical deep dive session where we showcase all these technologies.

6: Experiment with AppFunctions today

AppFunctions is an Android platform API with an accompanying Jetpack library to simplify building Android MCP integrations. 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. You can sign up for the Early Access Program and start experimenting using the API guidance, sample, and skill today.

The Future is Adaptive

7: Android is now Compose First; Views are now in maintenance mode.

Compose is our standard for UI development, and we are moving to a Compose-first approach for all future guidance and libraries. Building on five years of evolution, the latest releases deliver a more mature toolkit, from the highly customizable Styles API to refined shared element transitions and enhanced input support. These updates allow you to build beautiful, adaptive apps with less code and better performance. Learn more about what Compose-first means for Android Development in our blog post.

8: Building seamless Android experiences across devices with Jetpack Compose

9: Create seamless experiences for Googlebook

Last week we announced Googlebook, a high-performance laptop that provides a large-screen canvas for your existing apps. Building with adaptive principles today helps ensure your app will work on Googlebook. Get started by reviewing relevant design guidance and developer guidelines for desktop experiences. Try out the new Desktop Emulator available in the Android Studio Canary to to test your apps for this form factor today.

10: Unified widget development experience with Jetpack Glance

Android 17 marks a shift toward a single, Compose-based development model for all widgets. By unifying the experience across mobile, Wear OS, and cars through Jetpack Glance, you can soon scale UI components across the ecosystem with a familiar workflow.

The breakthrough this year is the integration of RemoteCompose. On mobile and cars, it powers high-fidelity animations, while on Wear OS, it allows Wear Widgets (formerly Tiles) to render complex UI logic natively on remote surfaces. This ensures peak performance on low-power hardware while allowing a cohesive user journey-like checking a flight status on your car dashboard and seeing gate change updates on your wrist.

11: Expand your reach on the road with Android for Cars
To help you expand your reach when you build in-car experiences, we're making it easier to build once and deliver your apps to Android Auto and Android Automotive OS. With the latest releases of the Car App Library, you can build customized, distraction-optimized templated media apps for both platforms. We're introducing new components and template capabilities to give you increased flexibility and more options for laying out content. Parked experiences are expanding too, with immersive video playback coming to Android Auto for phones running Android 17. You can easily adapt your video apps for these parked experiences; apply now to the early access program to publish in these beta categories and learn more about the latest updates in our blog.

12: Accelerate your development with Android XR Developer Preview 4

Inspired by the innovative experiences you've built for the platform, we're continuing to mature our tools with Developer Preview 4 of the Android XR SDK. A key milestone in this journey is the transition of our core libraries, XR Runtime, Jetpack SceneCore, and ARCore for Jetpack XR, moving to Beta soon to provide a more stable and performant foundation. We are also accelerating hardware access through the Android XR Developer Catalyst Program, where you can apply for XREAL's Project Aura, audio glasses, or display glasses developer kits. Watch The latest in Android XR session or read our blog to see how these updates help you build experiences across the ecosystem.

13: Android is your new home for professional-grade media experiences

Android 17 streamlines the entire media lifecycle with a production-ready toolkit. High-fidelity capture is now simplified with the CameraXViewfinder Composable, which handles complex scaling and responsiveness on foldables and tablets. For post-production, the new Media3 AI Effects library provides a single interface for premium features like Magic Eraser and Studio Sound, automatically optimizing for the device's hardware.

The pipeline is completed by CodecDB, offering chipset-specific encoding recommendations to eliminate export noise, and a new Scrubbing Mode in ExoPlayer for ultra-smooth seeking. Whether you're compositing multi-asset edits with Media3 Transformer or using the streamlined CastPlayer API, these updates ensure a professional-grade experience with significantly less development overhead.

14: Increase app discovery and engagement on Google TV

Pointer remotes, which enable motion-controlled input, will be a future way for users to interact with Google TV as it unlocks faster user navigation. App developers can start declaring support for pointing input to ensure their apps are discoverable on future TVs with pointer remotes. Additionally, the Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement. It's a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. Get all the details in our blog.

15: Performance: the foundation of a great app experience

To help developers navigate memory limits in Android 17, we've launched a suite of optimization tools. The R8 Configuration Analyzer identifies keep rules that are bloating your binary, while ProfilingManager and the integrated LeakCanary in Android Studio streamline memory leak detection. Furthermore, the new Android Performance Analyzer offers advanced AI integration for complex trace analysis and automated SQL query generation to pinpoint performance bottlenecks.

And The Latest on Driving Business Growth

16: What's new in Google Play

Today's updates from Google Play help expand your reach and scale your business with less complexity. We're redefining Play Store discovery with an immersive, short-form video format called Play Shorts, while expanding your audience beyond the store with app discovery in the Gemini app on Android and web. Plus, we're introducing powerful new capabilities like agentic catalog management for seamless bulk price and SKU updates, and using Gemini models to enable Play Console to pre-populate store listings from imported documents-making global localization effortless.

17: And of course, Android 17

Android 17 includes new performance & system architecture improvements (in addition to app memory limits) like a lock-free MessageQueue and a GC with more frequent, less intensive young-generation collections to ensure system-wide stability and smoother UIs. The new contact picker and eyedropper API help minimize the use of sensitive permissions and unnecessary access to user data.

Review the behavior changes to make sure your app is ready for Android 17, including background audio hardening and SMS OTP protection. Get ready to target Android 17 (API 37) with changes such as mandatory large-screen resizability, certificate transparency by default, and restricted local network access. You can start testing today by enrolling your device in the Beta or using the latest 17.0 emulator images.

One more thing. the third beta of our Android 17 quarterly platform release (QPR1) just came out, and it contains a minor SDK release to support a few features that just couldn't wait for QPR2.

Check out all of the Android & Play Content at Google I/O

This was just a preview of some of the updates for Android developers at Google I/O. Tune into What's New in Android for the latest news and announcements and follow Google I/O for much more over the following week!

Starting today Google AI Studio can build entire Android apps for you in minutes from just a prompt. You don't need to install any software or configure any libraries, which significantly lowers the barrier to development. Whether you're a seasoned developer looking to prototype at lightning speed or a creator building your first-ever mobile experience, you can now go from a single prompt to a high-quality, Kotlin-based Android app in AI Studio. 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. They expect the beautiful and usable modern app design and capabilities that come with native Android user experiences, built with the Kotlin programming language using Jetpack Compose, the official and recommended toolkit for Android development. Native Android apps bring the reliability of offline support, continuous background services, and the deep integration of hardware sensors like GPS, Bluetooth, and NFC. We've brought the technology that enables you to quickly create new projects with Gemini in Android Studio directly into the web-based AI Studio. Now, you get the best of both worlds: the ease of a prompt-based interface paired with the power of the Android SDK, all in your browser, no installation required.

A seamless, end-to-end workflow

We have streamlined the entire development lifecycle so you can focus on your idea:

1. Create your app and iterate in the cloud: Use the embedded Android Emulator directly in your browser to preview and interact with your app as it's being built. No heavy SDKs to download, no local setup required.

2. Install instantly: Connect your Android phone using a USB cable and install your app directly from AI Studio using the integrated Android Debug Bridge (adb).

3. Streamlined Publish to Google Play: Using your Google Play developer account, you can now publish your app directly from AI Studio for testing. AI Studio will automatically create your app record, package the bundle, and upload it to an internal testing track in Google Play Developer Console. Your app is available for you to install within minutes, and you can automatically update your app on your device as you develop it further in AI Studio.

When transitioning to a team environment or local development, you can leverage any IDE or agent you prefer. For a specialized experience, we recommend Gemini in Android Studio, which features models designed with Android in mind, or Antigravity, which integrates Android CLI commands into Google's agentic development platform. This workflow makes building high-quality apps more accessible while giving you total flexibility in how you use AI to scale your project.

Start building today

What's Next?

Turn your Google Pixel Watch into an aviation assistant

Prompt: Build a small airplane "6-pack" instrument app for Google Pixel Watch. The 6 instruments should include attitude indicator, airspeed indicator, altimeter, turn coordinator, vertical speed indicator, and heading indicator. Use the Google Pixel Watch's sensors to power the instruments and display them clearly. Display one instrument at a time on the display. Swiping to the left or right should cycle through the instruments.

Interactive Harmonium app on Google Pixel Fold
Prompt: Build a Harmonium app for Pixel Fold devices, which plays like the instrument based on the hinge angle and touch gestures. The app should simulate the bellows and reeds accurately.

An Android app for guitarists to become better musicians by jamming to backing tracks

Prompt: Build an Android guitar practice companion app that features a two-tab navigation system: 'Fretboard' and 'Library'. The 'Fretboard' primary screen must contain an interactive guitar neck UI that visually maps out user-selected root notes, musical scales, and chords. Above the fretboard, implement a WebView-based YouTube player configured to play embedded videos inline. Additionally, include an AI generation feature that uses Retrofit to call Gemini Lyria 3 to create custom, 30-second backing tracks based on the user's currently selected key and scale. The generated audio files and their metadata must be saved locally using a database and displayed as a list in the 'Library' tab, where users can delete or play them. Finally, implement a persistent, globally visible mini audio player at the bottom of the screen, complete with play/pause toggles, a progress slider for seeking, and timestamp text, allowing the user to seamlessly practice on the fretboard tab while listening to their tracks.

We are looking forward to seeing what you build next!

Explore this announcement and all Google I/O 2026 updates on io.google.

With over 300 million monthly active devices across Google TV and Android TV, it's clear that the living room is a massive, distinct platform for apps to accelerate growth. Today, we're excited to share Google TV features and developer tools designed to increase the discoverability of your content and prepare your app for future TV experiences.

Drive discovery and engagement with Gemini

Last year, we brought our AI voice assistant, Gemini, to our platform, so that people can easily find what to watch, learn something new on the big screen, and get everyday tasks done with just their voice.

Since launch, we've made improvements to how Gemini provides tailored responses to questions. Gemini shares a mix of visuals, videos, and text to help users find what they need, when they need it. For our streaming partners, Gemini is a helpful discovery engine-pulling from your app's metadata to surface your relevant content to viewers.

Declare support for pointing modality

The TV experience that we once knew is changing. Gemini is changing the way we discover and stream content with voice, but how we use the remote is evolving, too.

Pointer remotes bring motion-controlled input to the big screen, unlocking faster user navigation across the Google TV Home page and within content-heavy apps. To ensure your app is ready for this shift and provides a great experience for all users, now is the time to start thinking about pointing input. Here's how to get started:

1. Adapt your TV app UI Library

You'll need support for hover states, scrollable containers, and cursor clicks to enable pointer remote interactions for your app on Google TV. While implementation varies by UI stack, Jetpack Compose streamlines this transition, as most core components handle these multi-modal interactions natively out of the box.

1. Hover state: Every focusable element on your screen (buttons, movie posters, setting toggles) needs a clear visual feedback mechanism for a hover state. This is often subtler than a focus state but critical for feedback.
2. Scrollable containers: Pointer remotes will also have a small circular touchpad for scrolling. Users can use this touchpad to scroll up or down, or left or right in your app. Your app will need to respond to touch events to scroll.
3. Cursor clicks: Many TV apps today expect a simple D-pad OKAY button "click." With a pointer remote, a user may "click" on an element that's not the D-pad focus state, but is instead from a hovered state (similar to a mouse click).

2. Test pointing interactions with a mouse today

To see how your app handles hover, scroll, and clicks, simply connect a bluetooth mouse or wired mouse to your Google TV. Keep in mind that a mouse has more precise control, since users are closer to the screen and typically rest the mouse in a stable position. Pointer remotes can often be less precise, since users are sometimes 10 feet away from the screen, making rough gestures with the remote from their couch. As a TV designer or developer, you can mitigate this lack of input precision by having larger hover targets for elements.

3. Declare TV app support for pointer remotes on Google Play

Finally, tell Google Play that your TV app is designed to work with a pointer. This ensures that users with pointer remotes will be able to easily find, install, and interact with your app.

Within your AndroidManifest.xml, declare the meta-data tag, android.software.leanback.supports_touch. This tag informs the platform that your TV app "spatially supports touch," since pointer remotes simulate touch events from a distance.

AndroidManifest.xml

<manifest ...>
    <!-- Signal whether the app is adaptive or built just for TV -->
    <uses-feature android:name="android.software.leanback" android:required="true|false" />

    <!-- Ensure the app can be installed on conventional TVs -->
    <uses-feature android:name="android.hardware.touchscreen" android:required="false" />

    <!-- Signal whether the app supports pointer remotes -->
    <meta-data android:name="android.software.leanback.supports_touch" android:value="true|false"/>

    <application ...>
        ...
    </application>
</manifest>

Tips:

• The android.software.leanback feature declaration indicates that your app supports D-pad navigation and is intended for distribution only on TV devices via Google Play.
• The new software attribute of android.software.leanback.supports_touch declares that in addition to D-pad, you have ensured that your TV app works well for pointer/cursor experiences via mouse (of today) and pointer remotes (of future).
• If you haven't already, now is the time to adopt Jetpack Compose. Hover, scroll, and clicks are common input modalities that are supported on various form factors, and building your app with an adaptive UI framework enables code reusability and reduced maintenance.

Onboard the Engage SDK

The Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement.

• Resumption: Partners can easily display a user's paused video within the 'Continue Watching' row from the Home page.
• Entitlements: The Engage SDK streamlines entitlement management, which matches app content to user eligibility. Users appreciate this because they can enjoy personalized recommendations without needing to manually update all their subscription details. This allows partners to connect with users across multiple discovery points on Google TV.
• Recommendations: The Engage SDK even highlights personalized recommendations based on content that users watched inside apps.

It's a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. To get started, head to goo.gle/engage-tv to learn more.

We're excited to see how our latest Gemini experience and developer tools will optimize your discovery and drive user engagement on our platform.

Explore this announcement and all Google I/O 2026 updates on io.google.

As Android developers, you have many choices when it comes to the agents, tools, command-line interfaces (CLI), and LLMs you use for app development. Whether you use Gemini in Android Studio, Antigravity 2.0, Antigravity CLI, or third-party agents like Anthropic's Claude Code or OpenAI'sCodex, our mission remains the same: to ensure that high-quality Android development is possible everywhere.

At Google I/O '26, we shared the latest leaps forward in agentic development, and showcased some of the newest capabilities of Android CLI-now stable at version 1.0 and ready for all Android developers to use. From new skills to enabling agent access to powerful Android Studio capabilities, we're giving your agents the right tools to build alongside you.

Android development unlocked for Antigravity

Google Antigravity now includes an optional bundle of Android resources-including the Android CLI and skills-that you can install. You can either install the bundle during onboarding after installation, or later from the Settings > Customizations > Build With Google Plugins menu.

This provides Antigravity with all the powerful tools and knowledge of Android CLI, enabling it to perform the core tasks necessary for Android app development more easily and efficiently-from creating projects to deploying your app on a new Android virtual device.

Unlocking Android Studio capabilities for any agent

Android CLI provides a lightweight interface for AI Agents to perform tasks and retrieve knowledge about Android development. However, there's benefits to specialization - Android Studio contains over a decade of Android expertise, built to handle even the most complex Android projects. This includes Android Studio's powerful static analysis engine, refactoring tools, dependency management, UI design and rendering libraries, and more. AI Agents can now tap into Android Studio's tools to gain many of these same capabilities.

The latest version of Android CLI introduces the new android studio command. This enables the agent of your choice to leverage the deep, contextual capabilities of Android Studio to better understand and perform actions on an open Android project. By running Android Studio alongside your preferred agent with Android CLI, your agent's tasks can more efficiently navigate the codebase to produce more precise code changes. And, when you use Android CLI to create and iterate on your project, transitioning to Android Studio is much easier, so that you can use the purpose built tools-such as, performance profilers, Compose Previews, and Android Device Streaming-to get that production-grade polish.

When you have a project open in the latest preview version of Android Studio Quail, you (or your agent) can run the following command to check whether Android CLI has a connection established with your open project:

$ android studio check


pid: 32942


version: Android Studio


Projects:

    READY     JetSet /Users/adarshf/AndroidStudioProjects/jetset-main

From there, the agents can use the android studio command to access powerful IDE tools to interact with projects more efficiently. Key commands include:

• analyze-file: Analyzes a file for errors and warnings using the editor's built-in inspections.
• find-declaration: Finds the exact definition site of a symbol (class, method, variable, field, constant, or Android resource/color) across the project using semantic resolution.
• find-usages: Finds all references and declarations of a symbol (class, method, variable, or Android resource) across the entire project using semantic analysis.
• render-compose-preview: Renders a Jetpack Compose UI Preview and returns a path to the image and UI hierarchy if successful.
• version-lookup: Get the latest information about which versions for specified app dependencies are available in common repositories, such as the Google Maven repository. By providing a programmatic solution, dependency management is less tedious and much less prone to flakiness.
• open-file: Opens a file directly in Android Studio. This is useful if the agent wants to direct your attention to view Compose Previews, performance traces, or other specific files in the IDE.

For example, agents can now run the following commands to render a Compose preview for a new layout for your Android app, and then open the previews in Android Studio for you to take advantage of seeing multiple Compose Previews side by side and make AI-assisted edits right from the IDE.

$ android studio find-declaration HotelDetailScreen


$ android studio analyze-file .../JetPacker/feature/detail/src/main/java/com/example/jetset/feature/detail/HotelDetailScreen.kt

$ android studio open-file feature/detail/src/main/java/com/example/jetset/feature/detail/HotelDetailScreen.kt

To learn more about how to use these commands, run android help. And, to make sure your agents understand how to work with this tool, make sure to update the Android CLI skill by running android init.

More ways to get started

To make integrating Android CLI into your environments as seamless as possible, we're making it available in more ways. You can now download and install Android CLI using more package managers: apt-get, winget, and homebrew. For example, you can run the following to install Android CLI using winget:

winget install -e --id Google.AndroidCLI

We've also updated the installation to a user-local directory, by default. You can find the commands for all supported operating systems plus additional download options on the Android CLI page.

Support for Journeys

(sped up) An agent running a Journey it generated for an app.

Agents can run these journeys using the Android CLI to navigate your app exactly like a user would. This unlocks entirely new ways to test, validate, or collect data across the critical experiences of your app, all driven by natural language and executed by your agent.

Expanding Android skills

To help models better understand and execute specific patterns that follow our best practices, we are continuing to expand our library of Android skills. We're shipping new skills that make Android development everywhere more capable, efficient, and productive:

• Display Glasses and Jetpack Compose Glimmer for XR: Provides guidelines for developing projected applications for Android Display Glasses using the Jetpack Compose Glimmer UI toolkit.
• Migration to CameraX: Helps you migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX.
• Perfetto SQL: Translates natural language data prompts into Perfetto SQL queries and executes them against a local trace file.
• Adaptive UI: Instructions to make or update an app's UI so that it adapts to different Android devices
• Testing setup: Creates a basic testing strategy.
• Styles: Helps with adoption of the new Jetpack Compose Style API for new components, and supports migration to Styles API.
• AppFunctions: Analyzes Android codebases to recommend and implement new AppFunctions, and refines KDoc documentation for Model Context Protocol optimization.

You can add these new skills to your workflow directly from the command line. To help your agents understand and use Android CLI right away, you can initialize your environment and install the base android-cli skill by running:

android init

From there, you can browse and set up your agent workflow by searching for the exact capabilities your agent needs:

android skills list

Once you've found the right skill, install it to your environment by running:

android skills add -skill=<skill-name>

Get started today

To download the stable 1.0 release of the Android CLI, explore the new tools, and browse the complete documentation, head over to d.android.com/tools/agents today! Also, make sure you update to the latest preview version of Android Studio to unlock the latest features that Android CLI offers. We can't wait to see what you build with Android CLI 1.0 and how these new features supercharge your daily workflows. Join our vibrant community on LinkedIn, Medium, YouTube, or X and share your feedback.

Explore this announcement and all Google I/O 2026 updates on io.google.

The Android XR ecosystem is expanding, and we're committed to supporting developers who will build its next great experiences. Today, we're opening applications for the Android XR Developer Catalyst Program, a dedicated initiative to accelerate the development of Android XR apps ready to launch within the next year.

This program is designed to provide the resources, hardware, and grants to help you build and scale innovative experiences across wired XR glasses, like XREAL's Project Aura, and intelligent eyewear (audio and display glasses). We are especially interested in seeing innovative experiences across media, gaming, productivity, and health, but we welcome any unique use case that helps users expand what's possible.

Why join the catalyst program?

We want to help developers navigate common barriers to entry for XR development by providing:

• Development Kits: Get early access to hardware development kits for wired XR glasses (XREAL's Project Aura) and / or intelligent eyewear (audio and display glasses).

• Technical support: Gain access to specialized technical resources and support forums specifically designed to help you prepare your app for Google Play.

• Grant Opportunities: Submit a request and you may be eligible to receive a non-recoupable grant to accelerate your development.

Ready to start building?

Applications are open to developers looking to publish apps for the Android XR ecosystem in the next 6-12 months. You can build with Kotlin and the Jetpack XR SDK, or with Unity, Unreal Engine or Godot. If you need a spark of inspiration, you can check out existing XR Experiments and Samples to see how you can use the SDK for everything from spatial music to navigation.

Once you have your concept ready, be sure to submit your application by June 30th by 11:59PM PDT. We can't wait to see what you build.

Start Your Application

Explore this announcement and all Google I/O 2026 updates on io.google.

Today we're excited to launch Developer Preview 4 of the Android XR SDK, continuing our focus on unifying cross-device development for headsets, wired XR glasses, and intelligent eyewear. To keep our platform intuitive, we are adopting more descriptive naming for our form factors, where AI glasses are now audio glasses and display AI glasses are now display glasses, with these changes appearing in our documentation starting today.

This release is packed with updates that help you build incredible experiences for XR devices, enable deeper immersive experiences on XR headsets, and streamline the path for creating augmented experiences on audio and display glasses. Also, our core libraries-including XR Runtime, Jetpack SceneCore, and ARCore for Jetpack XR- will be officially moving to Beta soon!

To give you early access to hardware and resources for building immersive and augmented experiences on upcoming devices-like display and audio glasses and XREAL's Project Aura - we're announcing the Android XR Developer Catalyst Program. Learn more and start your application today.

Building Augmented Experiences for Audio and Display Glasses

Starting out with our libraries for augmented experiences, Developer Preview 4 introduces new APIs that help you create and test your apps.

Jetpack Projected: Device Availability and ProjectedTestRule APIs

The Jetpack Projected library helps bridge app experiences from the phone to the user's field of view. We've added the Device Availability API, which consolidates wear state and connectivity signals into standard Android Lifecycle.State values. This lets you adjust your applications behavior based on whether the device is worn.

val xrDevice = XrDevice.getCurrentDevice(projectedContext)

// Observe the device lifecycle flow
xrDevice.getLifecycle().currentStateFlow
    .collect { state ->
        when (state) {
            Lifecycle.State.STARTED -> { /* Device is available (worn) */ }
            Lifecycle.State.CREATED -> { /* Device is unavailable (not worn) */ }
            Lifecycle.State.DESTROYED -> { /* Device is DISCONNECTED */ }
        }
    }
  

To simplify testing, the new ProjectedTestRule API in the projected-testing artifact automates the setup of projected test environments. This helps you write clean, reliable unit tests without the boilerplate code.

// from the 'androidx.xr.projected:projected-testing:1.0.0-alpha07' artifact
@get:Rule
val projectedTestRule = ProjectedTestRule()

@Test
fun testProjectedContextInitialization() {
    // by default, ProjectedTestRule automatically creates and connects
    // a projected device before each test
    val projectedContext = ProjectedContext.createProjectedDeviceContext(context)

    // assert the projected context is successfully initialized
    assertThat(projectedContext).isNotNull()
}
  

Jetpack Compose Glimmer: Google Sans Flex and new components

Our UI library for display glasses, Jetpack Compose Glimmer, now includes Google Sans Flex for improved legibility on optical see-through displays. We've also added several interactive components:

• Stacks: Designed for touchpad-optimized groups, showing one item at a time.
• Title Chips: Provides categorization and context for content cards.

Building Immersive Experiences for XR Headsets and Wired XR Glasses

If you're looking to build fully immersive experiences for XR Headsets and wired XR Glasses, we have several big updates.

Beta Transition & Modern Architecture

XR Runtime, Jetpack SceneCore, and the ARCore for Jetpack XR perception features (Depth Maps, Eye/Hand Tracking, Hit Testing, and Spatial Anchors) will soon move to Beta, so we've streamlined the Jetpack XR APIs. We've removed legacy Guava and RxJava3 packages in favor of a modern, Kotlin-first architecture.

Jetpack SceneCore: glTF and Custom Meshes

We're expanding 3D model capabilities by adding the ability to fine tune 3D models and access specific nodes with a 3D model. Using GltfModelNode, you can modify properties like pose, materials, and textures, and even run animations for specific nodes.

// Create a new PBR material
pbrMaterial = KhronosPbrMaterial.create(
    session = xrSession,
    alphaMode = AlphaMode.OPAQUE
)

// Load a texture.
val texture = Texture.create(
    session = xrSession,
    path = Path("textures/texture_name.png")
)

// Apply the texture and configure occlusion
pbrMaterial.setOcclusionTexture(
    texture = texture,
    strength = 0.5f
)

// Access the hierarchy of nodes
val entityNodes = entity.nodes

// Find the specific node
val myEntityNode = entityNodes.find { it.name == "node_name" }

// Apply the PBR material override
myEntityNode?.setMaterialOverride(
   material = newMaterial
)
  

We're also bringing Custom Meshes to SceneCore. Custom meshes let you build geometry on the fly programmatically, which is ideal for creating custom 3D models. This feature will launch as experimental, so try it out and let us know what you think!

// Create the mesh
val roadMesh =


    CustomMesh.BuilderFromMeshData(session, roadVertexLayout)


        .addVertexData(ByteBufferRegion(roadDataBuffer, 0, vertexDataSize))


        .setIndexData(ByteBufferRegion(roadDataBuffer, vertexDataSize, indexDataSize))


        .setTopology(MeshSubsetTopology.TRIANGLES)


        .build()



// Define the material


val roadMaterial = KhronosPbrMaterial.create(session, AlphaMode.OPAQUE)



// Instantiate the entity using the custom mesh and material


val roadEntity =


    MeshEntity.create(


        session,


        roadMesh,


        listOf(roadMaterial),


        pose = roadPose,

)

Compose for XR: Native glTF Support

We now have native glTF support directly in Compose for XR with SpatialGltfModel. Use this along with SpatialGltfModelState to access nodes and animations in the glTF model, or use them to add textures and materials to your 3D models.

   val myGltfModelState = rememberSpatialGltfModelState(
        source = SpatialGltfModelSource.fromPath(
            Paths.get("models/my_animated_model.glb")
        )
    )

    val myGltfAnimation =
        myGltfModelState.animations.find { it.name == "animation_name" }

    DisposableEffect(myGltfAnimation) {
        myGltfAnimation?.loop()

        onDispose {
            myGltfAnimation?.stop()
        }
    }

    SpatialGltfModel(state = myGltfModelState, modifier = modifier)
  

ARCore for Jetpack XR: Geospatial API Preview for Wired XR Glasses

We're also providing an early preview of the Geospatial API for wired XR Glasses in ARCore for Jetpack XR. This update enables high-precision anchoring of digital content tied to real-world locations in over 87 countries.

By combining ARCore's Visual Positioning System (VPS) with the reasoning and audio capabilities of the Gemini Live API, you can create contextually aware experiences that understand both the location and position of your user. Imagine building an immersive, AI-guided walking tour that provides real-time audio descriptions of nearby places, seamlessly blending digital information with the physical environment.

Start Building the Future Today

It's an amazing time to develop for Android XR. With the Jetpack XR SDK moving to Beta soon and a robust set of new tools at your fingertips, explore each of the following areas to get your app's experiences ready for XR!

Read the documentation, explore the samples, and check out the XR experiments

Head to the official Android Developer site for full technical guides, API reference, and instructions on setting up the new emulator. Get inspired with our samples and experiments. See how we've used these APIs to build immersive spatial layouts, load 3D models, explore spatial audio, and more!

• Visit the Android XR webpage
• Explore XR examples
• Explore XR experiments

Check out what's new for game engines

We've added official support for Unreal Engine and Godot, and we've launched two new tools to accelerate development for Android XR with Unity and the Android XR Interaction Framework. And, based on your feedback, we are introducing the Android XR Engine Hub to allow you to run your experiences directly from your preferred engine,

• Read the blog post about what's new for game engines

Apply for the Android XR Developer Catalyst Program

Don't miss your chance to build for the latest Android XR hardware. Apply today for the opportunity to gain access to pre-release hardware, including our audio and display glasses prototype and XREAL's Project Aura.

• Learn more and apply today.

We look forward to seeing the amazing XR experiences you build as we move toward the launch of more Android XR devices later this year!

Explore this announcement and all Google I/O 2026 updates on io.google.

Explore this announcement and all Google I/O 2026 updates on io.google.

This year at Google I/O we are going beyond iterative changes, towards a fundamental shift in how apps are built. Our newest tools are built for the agentic era with features that boost productivity for you as an Android developer AND supercharge the AI agents you deploy in your codebase. So, whether you are building exclusively with AI or you prefer being the architect of every line of code, our tools will keep you ahead of the curve.

As we move from "AI-assisted" to "Agentic" development, we're making it easier than ever to turn a spark of an idea into a high-quality production app with significantly less developer effort.

So what's new with Android developer tools? We will cover 3 main areas in this blog:

• Let your agent handle it: Whatever development task you are working on, the Android Studio agent can help: from planning the app architecture and design, to writing code, to unit testing and bug fixing.

• Any AI provider, anywhere you build: In Android Studio, you can use any model and we even help guide you to the best performing ones. Choose any of the top remote models from Google, Anthropic, OpenAI, or if you need to run locally - Gemma 4 is our most capable and efficient local model! And with Android CLI, you can build Android apps faster and easier using the agents and developer environments of your choice.

• As always, performance and quality remain top priorities: We continue to invest in the Android developer tools you love: from the Emulator, to Profilers, performance analyzers, and more!

1: Let your agent handle it

Agent skills

Android Studio now supports Agent Skills, modular instruction sets that ground LLMs in specialized workflows and domain-specific knowledge. By adding skills to your project, you can teach the agent to follow specific best practices, architecture patterns, or library workflows. This enables more accurate, context-aware code generation and automated skill activation for an appropriate task, ensuring the agent acts as an expert. We've bundled many of the top Android and Firebase agent skills in the latest Android Studio Canary build, so you can skip straight to building!

You can create your own skill, or use Android CLI to install our official skills - a repository that covers some of the most common workflows that some Android developers and LLMs may struggle with. They help models better understand and execute specific patterns that follow our best practices and guidance on Android development, such as XML to Compose migration, Edge-to-edge, Navigation 3, and more. You can even build for Android XR, starting with a beautiful Display Glasses app with Jetpack Compose Glimmer. Official Android skills are automatically bundled with the latest Android Studio so the Agent is ready to build!

Build full-stack apps with Firebase in Agent Mode

Firebase services like Auth and Firestore databases can now be enabled directly within Agent Mode in Android Studio using the Agent Skills for Firebase. Your agent will be able to complete Firebase integration and configure backend services. This integration empowers you to build robust, full-stack Android applications without ever leaving your IDE!

Parallel conversations

You can now run multiple conversations with Agent Mode in parallel. In one conversation, run tests and while you are waiting, you can kick off planning mode for a new feature in your app while using a third conversation thread to write documentation for your app. These improvements will save you time and improve your productivity.

A more capable New Project Agent

Android Studio's New Project Agent has evolved into a powerful full-stack development tool, utilizing a multi-step execution plan and an autonomous "generation loop" that self-corrects build errors and configures dependencies across multiple files. This advanced capability is significantly amplified by its new integration with Firebase Agent Skills, allowing developers to seamlessly build, debug, and deploy complete full-stack applications directly from a single prompt to final production.

Additionally, it now offers support for large screens. You can scaffold your project with layouts, navigation, and components optimized for tablets, foldables, and laptop devices from the get-go. It has additional logic to test your app on large-screen emulators if you have one enabled. Simply configure the required device in the Android Emulator and the Agent can test it out!

2: Any AI provider, anywhere you build

Build Android apps in Google AI Studio

Google AI Studio now features full Android app development capabilities. Users can generate new applications, preview them instantly via an embedded Android Emulator, and deploy them directly to physical devices using ADB over USB. Additionally, developers can publish straight to Google Play; AI Studio handles the app record creation, bundles the package, and uploads it to an internal testing track. For advanced development and production readiness, projects can be exported as a ZIP file and opened seamlessly in Android Studio. To get started, visit Google AI Studio today and start building!

Android CLI helps you build faster, more efficiently with any agent

Android CLI enables you to build apps using any agent, LLM, and tool of your choice. Android CLI is designed to help AI agents build faster, and use less tokens when compared to only using generic LLM tools. By grounding agents with Android Knowledge Base and Android skills, you can now have your agent of choice follow the latest best practices across any coding environment.

Additionally, when using the latest Canary version of Android Studio Quail, Android CLI enables your agent to leverage powerful capabilities of the IDE, such as analyzing files for issues or finding symbol declarations. Google Antigravity 2.0 now offers official support for Android development with Android CLI.

Google AI plan

You can now use your Google AI Pro or Ultra plan to get access to dedicated capacity and higher rate limits for Gemini in Android Studio. This is especially helpful for long agentic Android development sessions, which can require using more tokens. Android Studio detects your subscription automatically when you log in with your Google account.

Gemma 4 is a state-of-the-art local model trained for Android development. It's our most efficient local model and is capable of complex multi-step agentic coding in Android Studio. It's ideal for developers who require data privacy, offline access, or have run into quota issues with other models.

Android Studio allows developers to bring any model they choose into the IDE for agentic AI assistance. Power your workflow with models like Gemini, GPT, and Claude or use a local model like Gemma 4. This flexibility offers developers greater control over performance, privacy, and cost.

Android Bench highlights the top models

In the almost-5-years since Jetpack Compose launched, we've invested in bringing you all the features, performance and tools that you need to build amazing UIs across the variety of Android devices. Compose helps you to build beautiful, adaptive UIs that meet the demands of modern UI design.

• Rich feature set: With a powerful library of layouts, input, graphics, animation APIs, and the latest Material Design components, Compose empowers you to build anything.
• Highly performant: Out of the box, Compose offers native performance, delivering a delightful experience to your users.
• Adaptive: Compose offers the easiest way to build adaptive apps that work across the range of Android form factors.
• Productive: With powerful tools like Previews and Live Edit and the full expressiveness of Kotlin, teams tell us that they move much faster when building with Jetpack Compose, reducing the time to market.

Explore this announcement and all Google I/O 2026 updates on io.google.

We're thrilled to see developers continuing to bring their apps and experiences to Android for Cars! Over the past year, we've continued to see strong growth and momentum in the app ecosystem on Android Auto and cars with Google built-in. This year at Google I/O, we're introducing updates that benefit both drivers and developers by enabling richer, more differentiated in-car experiences. With new features and templates that allow you to build once to reach users across different infotainment screens and car platforms, it's easier than ever to build for the road.

What's new in the Car App Library

We're bringing more flexibility, new components, and new template capabilities to the Car App Library. Car App Library 1.8.0-beta01 and Car App Library 1.9.0-alpha01 are now available.

Build templated media apps for both Android Auto and Android Automotive OS

Developers can now build customized, distraction-optimized, media browsing and playback experiences for Android Automotive OS, making it easier to build once and deliver these templated media apps to more users and more cars.

To help you test the experiences on Android Automotive OS, we'll be launching updated system images for the Android Automotive OS emulator. Beginning with revision 3, the API level 35-ext15 system images will support apps built using the Car App Library media templates.

Unlocking developer creativity with Car App Library 1.9.0 alpha

With the 1.9.0-alpha01 release of the Car App Library, we're bringing features to help you build more differentiated, expressive experiences across Android Auto and cars with Google built-in.

We're increasing the modularity of existing templates to give developers more flexibility and options for laying out content. These improvements include expanded headers for better visual emphasis, such as on detail pages, spotlight sections that can be placed in scrollable areas to highlight specific content, and grid item variations to support different content types and states.

We're introducing new components and template capabilities to help developers build even more engaging experiences. For media apps, we're introducing an adaptive mini-player, so users can browse while still easily managing playback. Finally, we're adding more component types including Chip and CondensedItem to increase the ways that content can be displayed and interacted with.

App developers, including those shown below, have already begun building upgraded media experiences using these new Car App Library features. You can join these developers and prepare to distribute your own media apps built with the Car App Library templates by applying to participate in our early-access beta program.

Distribute your adaptive video apps to more cars with minimal effort

You've already built the apps, now we're helping you reach more users. For the first time in Android Auto, users will be able to sit back, relax, and watch videos while parked. Apps, like YouTube, will be able to deliver smooth, 60fps HD video playback. This brings the Android Auto parked experience in line with the high-fidelity, immersive experiences users already enjoy in cars with Google built-in.

This capability will start rolling out to compatible vehicles later this year, for users with phones running Android 17 and higher. If your video app is already adaptive, making it available for parked use cases in cars requires minimal effort. To express interest in making your video app available on Android Auto, fill out this form.

Widgets are coming to cars

The next generation of Android Auto brings a more expansive user interface and the Material 3 Expressive design system you know from the phone into the car, built to seamlessly fill larger screens no matter what shape they are. With this new design, the investments you've already made in mobile widgets will be available to users of Android Auto this year, and cars with Google built-in later on, opening up new ways to reach and engage with your users while they're on the road. We're excited to unlock these new glanceable user journeys!

The road ahead

You can look forward to even more updates coming to cars later this year.

• To deliver a more continuous user experience, we're making it possible for you to provide a templated experience while driving that can seamlessly transition to a native, adaptive app experience when the vehicle is parked.

• New components and conversational templates will be coming to the Car App Library, so you can integrate agentic and voice-based flows more seamlessly in apps.

• Improved app brand expression across all car surfaces allow experiences built with the Car App Library to feel easily recognizable by your users.

• Google Maps SDK support is coming to cars with Google built-in. With this change, you'll be able to use the Google Maps SDK to render map-based content with the MapWithContentTemplate in point-of-interest (POI) and Weather apps on both Android Auto and cars with Google built-in.

Stay updated on these features and start building with the latest at goo.gle/cars-whats-new.

Explore this announcement and all Google I/O 2026 updates on io.google.

Gemini will provide users with app suggestions and direct access
to entertainment content during a search.

The Protected with Play dashboard provides centralized insights to help you safeguard your app.

Learn more about these announcements and all other Google I/O 2026 updates on io.google starting May 21.