Android Studio I/O Edition: What’s new in Android Developer tools

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!

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!

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.

Google AI plan

Android Bench highlights the top models

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.