Posted by Nick Butcher, Product Manager

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.

Compose has matured into the standard for Android UI development—we believe that all Android UI should be built with Compose; we call this going Compose First. From today, we'll provide all APIs, libraries, tools and guidance in Compose. We now consider the View components that Compose replaces (components in the android.widget package) to be in maintenance mode. We have no plans to deprecate or remove View components and will continue to support them with critical bug fixes, but they will receive no new features.

View-based Jetpack Libraries
The same goes for View based libraries like Fragments, RecyclerView or Viewpager — we consider them complete and will only publish critical bugfixes. For a complete list of libraries now in maintenance mode, see here.


Tools
Any new Android Studio UI tools will be built for Jetpack Compose only. Existing view-based tools (such as the Navigation Editor and Layout Editor) are now in maintenance mode and will not receive new features.


Guidance
Documentation, codelabs, and samples will focus on building UI with Jetpack Compose. You can still find Views-specific documentation linked from pages that contain generic and Compose information, where relevant.

Happy Composing

Posted by Paul Feng, VP, Google Play Eng, Product, UX

At Google Play, we’re passionate about helping people connect with the experiences they’ll love, while empowering developers like you to turn great ideas into lasting business success.

At this year’s Google I/O, we talked about our evolving business model that offers more choice and new ways for your apps and content to be discovered on and off the store. We also unveiled advanced tools and insights that will help scale your business with less complexity.

Expanding your reach by meeting users where they are

Your apps and the incredible worlds you build are no longer just a single destination, but connected experiences that reach users across surfaces and devices. To help you meet users where they are, Google Play continues to evolve into a content-forward destination that delivers immersive and personalized experiences on the store, across their devices, and directly within your apps and games.

Beyond the store: Expanding discovery to new surfaces & devices

We're unlocking new opportunities for your apps and content to be discovered across the wider Android ecosystem.

• Surfacing your apps and content in Gemini: As people increasingly start their journeys with virtual assistants, we want to ensure your apps and their content are an essential part of this. In the coming weeks, we're enabling app discovery in the Gemini app on Android and Web, connecting your apps and games to millions of Gemini users. Later this year, Gemini will also surface over 450,000 movies and TV shows, as well as where to stream live sports, and deep-link users directly into your app content.

• Delivering personalized content across the ecosystem: Engage SDK surfaces deliver your content to over 30 million monthly active users and drive millions of app opens every month—a massive 45% increase year-over-year. 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.
  • New tablet surfaces: We’re broadening reach across Android tablet surfaces, including home screen Collections.
  • Global scale: Every Engage SDK surface can now scale your content across over 80 Play markets.

Boost re-engagement by integrating with Engage SDK today. If your app is already integrated, no further action is required to benefit from these updates.

On the store: Enhancing content formats and conversational search

We’re also optimizing the Play Store to help grow your audience with engaging content formats and a more intelligent search experience, to make it easier than ever for users to find and connect with your app.

• Capturing attention with Play Shorts: Our full-screen, portrait, short-form video feed gives users a glimpse of your app’s look, feel, and functionality. Play Shorts is rolling out to users in the US and select developers, and we look forward to expanding this to more markets and developers in the coming months.

• Enabling deeper search journeys with Ask Play: Building on AI-powered Q&A, which already answers 95% of user queries, we’re introducing Ask Play. This AI-powered overlay turns discovery into a natural conversation, understanding the full context of a user's question and adapting to follow-ups to recommend the right app. Plus, with Ask Play highlights, users can get a high-level summary of complex searches directly on the search results page to help find the right apps or games more effortlessly.

In your games: Deepening player engagement and community

Once players launch your title, the real challenge is keeping them in the action. Play Games Sidekick provides an in-game overlay that gives players instant access to gaming information—like AI-generated Game Tips, rewards, and achievements — driving higher engagement while keeping players immersed. Sidekick has already debuted in over 100+ titles, and we’re building on this momentum with:

• New social features: Starting next month, players can see which friends are playing the same game and track their achievements
• Global expansion: Sidekick expands to all participating titles this summer. Head over to Play Console to enable Sidekick and begin testing the user experience so that you're ready for our global launch, while also meeting one of our core Level Up program guidelines.

Scaling your business with less complexity

We’re streamlining your day-to-day tasks while providing more comprehensive reporting to help you capture more growth opportunities.

Streamline your Play Store operations with AI

We’re using Gemini models to handle the heavy lifting of localizing your store content and managing your catalog.

• Localize with less effort: Eliminate manual copy-pasting by uploading a structured file (like a CSV or Google Sheet). Gemini models enable Play Console to pre-populate your listings across different languages for your review. You can also leverage AI-translated subscription benefits to quickly scale your localization efforts.

• Convert search trends into growth: We’ve simplified the path from insight to action. When you click a keyword recommendation on your Grow overview page, Gemini creates a new custom store listing automatically tailored to that keyword—ready to deploy with just one click.
• Simplify catalog management: We’re introducing agentic catalog management to help you manage your one-time products. Soon, you can leverage new in-console capabilities to execute bulk price changes, import SKUs, and configure metadata, saving hours of manual work.

New agentic capabilities in Play Console will make managing your catalog seamless.

Behind-the-scenes features that optimize your revenue

We’re building tools to maximize your revenue at every stage—with zero developer work required. When a user decides to buy, our platform helps ensure that the transaction completes at the point of conversion, renewal, and retention.

• Optimizing conversion with delayed charging: When a payment initially fails, our risk models evaluate the transaction. If it’s low-risk, we grant the user access to your paid content while we retry the charge in the background. This means your lowest-risk subscribers get the best experience and you are less likely to lose them due to a temporary glitch.
• Boosting renewals with extended recovery periods: To prevent involuntary churn, we’ve extended the default account recovery period from 30 to 60 days to give subscribers more time to fix failed payments, like expired credit cards. This shift has driven up to an 18% reduction in involuntary churn and a 9% reduction in total churn for top developers.
• Maximizing retention with flexible flows: A rigid experience makes retention nearly impossible. Coming soon, our new in-app subscription management API lets subscribers change plans or accept a downgrade offer the moment they hit “cancel.” Combined with replacement modes that automate prorated refunds, you’ll have a powerful toolkit to save at-risk subscribers.

More reporting and AI-powered insights

We’re providing more data and more AI-powered insights to help you understand your performance and ROI on Play.

• Measure your full marketing impact: See your app’s total visibility on Play with our new reach metric. Gain better insight into store listing performance with indirect value not previously reported. Analyze downstream impact—like engagement, retention, and monetization—with our new traffic source breakdowns.
• Optimize the path to purchase and retention: We’ve added cart conversion rates to your core performance metrics to help you identify and fix friction in your checkout flow. New data on subscriber tenure and churn reasons allow you to better pinpoint why subscribers leave and which segments are most at risk.
• Get faster answers: Using Gemini models, we’re expanding chart descriptions from the Statistics page to the Reach & Devices and Store Performance pages to help you spot trends instantly. With new interactive Q&A and proactive monetization insights, you can ask why a metric shifted and instantly receive tailored recommendations to optimize your business.

Get instant answers and recommendations for optimizing your business.

Protecting your success

In addition to making it easier and faster to publish safer apps, we’re also making it easier to secure your app’s revenue and reputation.

• Defend your business against fraud and abuse: The new Protected with Play dashboard helps you monitor and configure your integrity, distribution, and monetization defenses all in one place. We’re also reducing warm-up latency for Play Integrity API, so you can use these checks during speed-critical user journeys to block threats and risky devices faster.

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

• Get proactive protection for your store and revenue: We work behind the scenes to help stop malicious activity before it impacts your business. Last year, our automated anti-spam protections blocked 160 million spam ratings and reviews while our anti-fraud efforts automatically protected apps using Play Billing from 3.2 billion dollars in fraud and abuse.

Growing your business on Google Play

Our latest updates reinforce our commitment to deliver the highest return on your team’s investment, by expanding your reach beyond the store, simplifying your day-to-day operations, and helping you better safeguard your success. We’re excited to see you use these new capabilities to create even more impactful experiences. Thank you for being a part of the Google Play community.

Today, we are excited to announce that official support for Unreal Engine and Godot has arrived for Android XR. Alongside these engine expansions, we are also launching new tools designed to boost your productivity and enable new XR capabilities: the Android XR Engine Hub and the Android XR Interaction Framework.

Android XR Engine Hub

The Android XR Engine Hub is currently available for Windows and is your mission control for development. 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.

Real-Time Streaming via OpenXR

The Hub bridges the gap between desktop power and mobile sensor data. Instead of requiring a full build to see how your app reacts to the world, the Hub streams OpenXR extensions from the physical Android XR device directly to your Windows machine.

This means you can iterate on complex interactions in "Play Mode" while receiving live, high-fidelity data from the headset’s sensors. Without this streaming capability, testing even a minor change to eye-tracking or spatial mapping would require a full APK export and installation.

The Hub enables low-latency testing for the following streamed extensions:

Core & Interaction Support

• XR_EXT_hand_tracking & hand_interaction: Streams 26-point hand meshes and joint data for immediate interaction testing.
• XR_EXT_eye_gaze_interaction: Virtualizes eye-gaze data to test UI and foveated logic on your PC.
• XR_EXT_palm_pose & XR_EXT_uuid: Real-time precision tracking and persistent object ID streaming.

Android XR Vendor Extensions

• Eye & Face Tracking (XR_ANDROID): Stream expressive avatar data to your editor to refine social presence without building.
• Passthrough & Trackables: Access live environmental understanding—like plane detection and hit testing—directly within the engine's viewport.

By virtualizing the device's hardware capabilities and streaming them over a low-latency desktop bridge, the Android XR Engine Hub allows for game engine developers to quickly iterate.

Download the Hub:
Get the Android XR Engine Hub for Windows
Learn more about Direct Preview

Expanding Game Engine Support

Through our commitments to OpenXR standards, we are ensuring that whether you are a veteran studio or an indie developer, you have best-in-class tools to help bring your creative vision to life.

Unreal Engine

Unreal Engine support is now available in developer preview, targeting version 5.6.1. This integration is built directly on using OpenXR with the support for AndroidXR vendor specific API using the Android XR vendor plugin for Unreal, you can access platform-specific extensions for advanced hand tracking, face tracking, and scene understanding (like plane detection and depth) whilst making use of Unreal blueprints or C++ support.

Get Started with Unreal:

• Download the Android XR Extension Plugin for Unreal
• Official Unreal Engine Website
• View the Unreal Engine Development Guide

Godot

In partnership with the Godot Foundation and W4 Games, we are bringing official Godot support to Android XR for Godot 4.6.2 and higher.

We are already seeing incredible momentum from W4 as they have ported experiences like MoAT and Expedition to Blobotopia that are already live on Google Play, proving that Godot is ready for production-grade spatial experiences today.

To unlock the full potential of the platform, use the Godot OpenXR Vendors plugin 5.1, which provides the necessary Android XR vendor extensions for features like scene meshing, dynamic resolution, light estimation and much more. We're collaborating with Godot to optimize the OpenXR implementation for the Android XR power profile and input standards.

Get Started with Godot:

• Download the Godot OpenXR Vendors Plugin
• Official Godot Engine Website
• View the Godot XR Setup Guide

Unity

The Unity OpenXR: Android XR 1.13 package is now available for Unity 6.5 Beta. Unity has expanded Application SpaceWarp support to include both uGUI and TextMeshPro. Keep an eye out for the general release of Unity 6.5 and more platform enhancements arriving this summer.

Android XR Extensions v1.3.1 for Unity

Everything else you need for comprehensive platform integration is available in our latest Android XR Extensions release:

• Spatial API Support: You can now manage the android.software.xr.api.SPATIAL manifest tag directly through XRSessionFeature settings, making it easier than ever to define your app's Spatial API requirements and target levels.
• Fine Eye Face Tracking: A new Fine Eye Poses feature provides high-precision eye poses using the TryGetFineEyePoses extension method.
• Direct Preview Support: The Android XR Streaming feature enables Direct Preview support within Unity Editor's PlayMode (Windows only).

Note: Android XR (Extensions): Hand Mesh has been removed; you should now use the unified Hand Mesh Data within the extensions package.

Android XR Interaction Framework for Unity

The Android XR Interaction Framework (AXRIF) is now available in developer preview. AXRIF is an unstyled, opinionated input toolkit that abstracts the complex logic required to build interfaces that are consistent with Android XR system interactions.

Instead of focusing on UI visuals, AXRIF prioritizes the underlying mechanics of the Android XR user experience. At its core is the same Transition Manager that powers the system's rich multimodal inputs, enabling state switching between 6DoF controllers, 3D mouse, hand tracking, and eye gaze. By leveraging this framework, developers can significantly reduce the implementation burden required to bring Android XR's full complement of robust interactions to their apps.

At launch, the framework provides three core capabilities:

• Automated Multimodal Input Transitions: The framework manages the state machine for switching between input modalities. For example, it handles the transition logic when a user moves from gaze-targeting an object to directly touching it, simplifying simultaneous support for hands, controllers, and mice.
• Gaze-Assisted Gesture Interaction: AXRIF combines gaze vector targeting with hand gesture recognition (such as pinch-to-select) for precise distant interaction, matching the system's default behavior.
• Physics-Based 2D UI Interaction: The framework maps high-fidelity hand tracking to 2D plane interactions, enabling intuitive poke and swipe gestures on floating panels while respecting physical boundary constraints.

By adopting AXRIF, your app inherits the platform's native interaction model, ensuring your app feels consistent with the rest of the OS.

Explore the Toolkit:
Interaction Framework Documentation
Download the Unity Package 

Get Started Today:

There has never been a better time to dive into Android XR development. With support across Unity, Unreal, and Godot, the platform is ready for your creative vision, no matter which engine you call home. Explore our official engine partners to get started:

• Unity Developer Portal
• Unreal Engine Developer Community
• Official Godot Engine Website

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!

Skills in Agent Mode

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!

Building a full-stack app with Firebase via Agent Mode

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. 

Parallel conversations in Agent Mode

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.

Building an app with New Project Agent

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!

Build large screen apps for foldables and tablet devices

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!

Google AI Studio build mode with Android framework

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.

Gemma 4 for local code assist and on-device AI

Model selector in Agent Mode

Bring your own model to Android Studio

Settings, Model Provider

Android Bench highlights the top models

Earlier this year we launched Android Bench, the benchmark and leaderboard designed to evaluate how effectively LLMs handle real-world Android development tasks. The goal is to accelerate AI improvements, leading to more helpful models for you to use for AI assistance, which will lead to better quality apps for Android users.

You asked us to evaluate open models, so we added them to the leaderboard to help you see how LLMs with additional privacy and offline access measure up. We are also working on significantly increasing the difficulty of challenges we’re giving LLMs, to continue encouraging improvements. This includes creating long running tasks, which take a typical Android engineer multiple days to complete.

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 between multiple virtual devices on the same host machine. This update eliminates the need for manual port forwarding, allowing developers to easily test multi-device scenarios like local multiplayer gaming, file sharing, and companion app pairing. By creating a shared virtual network backplane, the Android Emulator provides a more stable and consistent environment for building complex, interconnected app experiences across different form factors.

Multi -device testing with the Android Emulator

Android Debug Bridge Wi-Fi 2.0

ADB Wi-Fi 2.0 offers significantly more reliable wireless debugging. With the latest ADB command line tool from Android Platform Tools v37 and an Android 17 device, you can now change networks, shut down your machine, and go about your typical day and your devices will stay connected. Additionally, devices with wireless debugging enabled will automatically show in Android Studio’s Device Manager, streaming the pairing process and making it easier than ever to connect Android phones, watches, and more.

Pair devices with Wi-Fi

Android Studio now lets you publish to Google Play for testing

Android Studio now gives you the ability to upload new releases of your app directly to Google Play Console test tracks. You can do this by selecting a new option to continue to “Publish for Testing” at the end of the Generate Signed App Bundle flow. This integration supports uploading an initial release of a brand-new app to Play Console’s internal test track. You can also use this feature to upload releases to existing apps to test tracks. You need to be registered on Google Play Console to take advantage of this functionality. Read the ‘What’s new in Google Play’ blog to learn about all the updates from Play at I/O.

Upload App Bundle to Google Play

Android developer verification support

You can now see your app's registration status right in Android Studio when you generate a signed App Bundle or APK. Seeing this information in Android Studio enables you to address registration issues early and ensure your apps are ready before the verification requirement goes into effect for certified Android devices starting in September 2026.

App registration status with Android developer verification

Memory leak detection with LeakCanary

Memory leaks in Android occur when your code holds onto an object's reference long after its life cycle has ended. This prevents the Garbage Collector (GC) from reclaiming that memory, eventually leading to sluggish performance or OutOfMemoryError (OOM).

The Android Studio LeakCanary profiler task significantly enhances developer productivity by enabling the analysis and inspection of memory leak traces directly on the desktop development environment rather than on the mobile device. Furthermore, Android Studio streamlines troubleshooting by providing tools like “Go to declaration” to map the leak analysis directly to the codebase, allowing developers to quickly locate and resolve memory leaks.

Starting from the Android Studio Quail 1 release, you can now also request Gemini to review the memory leak for you using the “Fix with Agent” button.

Review memory leaks identified via LeakCanary through the “Fix with Agent” button

Android Performance Analyzer (APA)

Android Performance Analyzer (APA) is the next generation of performance profiler for Android and provides a cohesive analysis of CPU, GPU, memory, and power usage for your apps and games running on Android 12+ devices. APA is engineered for reliability and performance with trace rendering speeds which are up to 26x faster from previous tooling.

Android Performance Analyzer (APA) running in Android Studio showing two traces side by side

APA integrates natively with AI agents and offers two new skills: Perfetto SQL skill and the Perfetto Analysis skill, which helps with questions like "Why is my app startup slow?"

Analysis of traces using Perfetto Analysis skill

R8 Configuration Analyzer

R8 is one of the best ways to improve your app’s performance and reduce memory footprint. The performance benefits you can get from R8 are directly correlated to how much of your codebase R8 is able to optimize. We’ve introduced a new tool to help you to unlock the maximum optimization from R8 – the R8 Configuration Analyzer. It provides insights into R8 configuration quality and how your keep rules impact your app. We have also introduced three scores that show how much of your codebase is available for optimization, obfuscation, and shrinking.

Suggested fixes for crashes with Agent integration in AQI

The App Quality Insights tool window is now integrated with the AI agent to analyze crash data along with your source code to provide detailed explanations and suggest potential fixes. After selecting a crash in the App Quality Insights tool window, navigate to the Insights tab and click “See more” to see a detailed explanation of the crash. Click “Fix with AI” to have the agent suggest code changes that you can review and accept.

App Quality Insights and Fix with AI

Get started

Android Studio is closing the gap between ideation and implementation. With powerful tools built for agentic development, it’s never been easier to build and ship high-quality Android apps.

Download the latest Android Studio Quail preview build and try these new features. As always, your feedback is crucial to us. Check known issues, report bugs, and be part of our vibrant community on LinkedIn, YouTube, or X. Happy coding!

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

By Simon Cooke, Developer Relations Engineer (X) and Mayank Jain, Product Manager (X)

What is Android Performance Analyzer?

Android Performance Analyzer (APA) is Android’s new profiler and performance analysis tool for the Android mobile ecosystem. 

APA is intended as a profiling tool for any developer building for Android who needs to make their app or game run better and faster. It is helpful for all performance-minded engineers, especially those using Vulkan in their game engines who want to squeeze every bit of performance out of their code.

APA aims to be the tool that helps you optimize apps and games for all modern Android devices and simplifies your most common workflows, with a simple interface that anyone on your team can quickly learn and be productive. 

Available today in open beta is APA’s new System Profiler that you can use to analyze the CPU, GPU, Memory, and power usage of your app or game - and see how it interacts with system behavior.

Developed in collaboration with Samsung Austin Research Center (SARC) and LunarG, APA relies on Perfetto for system tracing and its upcoming frame profiling/debugging features (stay tuned!) are powered by LunarG’s GFXReconstruct technology for graphics capture and replay.

Devices running Android 12+ will provide the best experience for capturing system-wide performance and GPU counters and render stages.

We’re also working across the Android ecosystem with our esteemed industry partners to bring more profiling & optimization related data into APA. 

How to get Android Performance Analyzer

APA ships in two different forms, and you can download whichever one suits your needs best

• As a lightweight standalone desktop app.
• And also integrated directly into Android Studio as the updated System Trace viewer (available in Panda 4 canary builds and later).

The standalone desktop app is intended to be used without an Android Studio project or Gradle build - and provides deep customization of recording configuration, built-in Vulkan layers for graphics analysis, deep inspection of GPU counters and much more.

APA is also cross-platform: works natively on Windows, MacOS, and Linux.

Features in this release

Basic profiling functionality

Capturing your profile data

You don’t always want to take a capture immediately at application or game launch. APA allows you to choose, and capture traces from your device at launch or triggered manually. The user interface allows you to select which GPU counters and other data is captured in a trace - and if you have more complex needs, you can provide your own custom Perfetto configuration.

Deep-Dive System Analysis

With APA, you can analyze the entire system’s behavior in one view. For example, you can easily examine CPU cores - both their frequencies and the work scheduled on them or inspect processes & their thread activity.

For graphics-heavy apps, APA provides GPU performance counter data across hardware from Qualcomm, Arm, Imagination, and Samsung. You can even track battery and power consumption to see the impact of your code on power consumption.

To understand exactly where frames are spending time, SurfaceFlinger events provide deep visibility into the rendering and display composition pipeline, from initial code acquisition to final display. And with the new screenshots feature, you can visually scrub through to easily find the exact areas where you want to focus your attention.

You can open existing Perfetto traces, zoom through the timeline for precise detail, and use rulers to measure the duration of work and events. APA also lets you bookmark and annotate interesting findings, and you can pin critical tracks to the top of your screen to keep your focus exactly where it needs to be as you optimize.

Workflow features

Tabbed interface and split windows: You can open multiple traces in side-by-side tabs or split a single trace into two windows to compare different regions of the same trace simultaneously.

Tabbed interface showing two traces side-by-side.

Project-based workflow: APA uses a project model that allows you to keep track of multiple traces from the project sidebar. This is especially useful for gathering the results of A/B testing and longitudinal tests, and keeping all of your results together for comparison & quick access purposes.

The new project window helps you manage multiple traces.

Navigate visually using screenshots: APA lets you capture screenshots during a trace (without any noticeable performance overhead) to home in on areas where you saw something affect performance by scrubbing through the timeline. Or even just to get your bearings.

Scrubbing the timeline using screenshots for navigation (trace taken from NetMarble’s Seven Deadly Sins: Origin).

Persistent view customizations: When you pin or vertically resize tracks, we save those customizations so that they persist the next time you open the trace.

Analysis tools & new skills for AI agents

Vulkan debug trace markers for render passes: We support Vulkan debug annotations for render passes - which allow you to view Render Pass names you set from your codebase directly in the tracks and slices shown in APA.

This immensely helps you to make logical connections between the workloads you see in the profiler to where they are originating from in your codebase.

Vulkan Debug Markers allow you to keep track of what kind of work is being performed in your trace.

Use AI to build SQL queries for custom analysis work: APA supports trace analysis via SQL queries and ships with a new Perfetto SQL skill for use with your favorite AI agents. This makes it easier to build queries without needing to remember Perfetto SQL schemas or the SQL syntax.

Ask Gemini to analyze traces for you: We’ve also added another Perfetto Analysis skill to answer high-level questions for you - like “Why is my app startup slow?” - helping you to find starting points when analyzing complex traces, using your favorite AI agent to pinpoint the answers.

Agentic trace analysis in Android Performance Analyzer

FPS and Frame Duration times : You can review the FPS and Frame duration time at a glance in the tracks to correlate it with other activity happening in your trace. 

Speed & robustness improvements

Speed and robustness improvements: Rendering a trace is now typically 6x to 26x faster than Android GPU Inspector, and APA is significantly more stable when working with large traces.

Case studies

We’ve worked with our early access partners to create detailed case studies showcasing how APA could be used to improve performance for Vulkan apps & games.

The Forge Interactive

The Forge used Android Performance Analyzer to identify the need to batch calls to vkCmdBindDescriptorSets, which reduced CPU setup costs by ~50%. This, in turn, slowed heat production on their device by 2-3x, leading to longer session times. They also used APA to identify opportunities to move font and UI rendering work over to the GPU, improving scalability.

You can read the full case study from The Forge here.

Note: This case study demonstrates how to use custom SQL queries in the profiler to generate a total rendering cost metric.

The Forge case study showing frames presented consistently at a stable 30 FPS using APA

NetMarble – Seven Deadly Sins: Origin

Netmarble used Android Performance Analyzer to fine-tune their game Seven Deadly Sins: Origin, focusing particularly on improving performance by making changes to the precision of their shaders, and exploring the impact of upscaling on the performance of their renderer.

This allowed them to reduce the GPU cost of rendering some scenes by up to 90%. 

Read the full NetMarble case study here.

Netmarble validating pre- and post-optimization performance changes using APA for their game: Seven Deadly Sins: Origin

Profiling model complexity in Google’s Filament engine

Google has been improving the Filament glTF Viewer, our physically-based rendering engine.

We spent some time digging into the viewer with a variety of scenes, and showed how to use Android Performance Analyzer to identify scenes that are too complex for the GPU, and how to trim them down to hit a target 60FPS, by improving texture compression and optimizing geometry. Memory consumption was also reduced in this process.

You can read our exploration of Filament here.

Screenshot showing GPU wait time was reduced from 25ms to 20ms by introducing dynamic resolution and measuring it through APA

Try out the Android Performance Analyzer Beta today!

The Android Performance Analyzer is available for you to try out and use today:

• Standalone profiler: https://developer.android.com/android-performance-analyzer
• Android Studio Canary Build (Panda 4 canary builds and later): https://developer.android.com/studio/preview

This is beta software, which means that you might run into an occasional bug – please report it to us if you find any (Help Menu > Submit a bug report).

We’re excited to see how you use the new Android Performance Analyzer, and how it will help your project’s performance and reliability.