Tag Archives: AI code completion

Gemini in Android Studio, now helping you across the development lifecycle

Posted by Sandhya Mohan – Product Manager, Android Studio

This is Our Biggest Feature Release Since Launch!

AI can accelerate your development experience, and help you become more productive. That's why we introduced Gemini in Android Studio, your AI-powered coding companion. It’s designed to make it easier for you to build high quality Android apps, faster. Today, we're releasing the biggest set of updates to Gemini in Android Studio since launch, and now Gemini brings the power of AI to every stage of the development lifecycle, directly within the Android Studio IDE experience. And for more updates on how to grow your apps and games businesses, check out the latest updates from Google Play.

Download the latest version of Android Studio in the canary channel to take advantage of all these new features, and read on to unpack what's new.



Gemini Can Now Write, Refactor, and Document Android Code

Gemini goes beyond just guidance. It can edit your code, helping you quickly move from prototype to implementation, implement common design patterns, and refactor your code. Gemini also streamlines your workflow with features like documentation and commit message generation, allowing you to focus more time on writing code.

Moving image demonstrating Gemini writing code for an Android Composable in real time in Android Studio

Coding features we are launching include:

    • Gemini Code Transforms - modify and refactor code using custom prompts.

      using Gemini to modify code in Android Studio

    • Commit message generation - analyze changes and propose VCS commit messages to streamline version control operations.

      using Gemini to analyze changes and propose VCS commit messages in Android Studio

    • Rethink and Rename - generate intuitive names for your classes, methods, and variables. This can be invoked while you’re coding, or as a larger refactor action applied to existing code.

      using Gemini to generate intuitive names for variables while you're coding in Android Studio

    • Prompt library - save and manage your most frequently used prompts. You can quickly recall them when you need them.

      save your frequently used prompts for future use with Gemini in Android Studio

    • Generate documentation - get documentation for selected code snippets with a simple right click.

      generating code documation in Android Studio

Integrating AI into UI Tools

It’s never been easier to build with Compose now that we have integrated AI into Compose workflows. Composable previews help you visualize your composables during design time in Android Studio. We understand that manually crafting mock data for the preview parameters can be time-consuming. Gemini can now help auto-generate Composable previews with relevant context using AI, simplifying the process of visualizing your UI during development.

Visualize your composables during design time in Android Studio

We are continuing to experiment with Multimodal support to speed up your UI development cycle. Coming soon, we will allow for image attachment as context and utilizing Gemini's multimodal understanding to make it easier to create beautiful and engaging user interfaces.

Deploy with Confidence

Gemini's intelligence can help you release higher quality apps with greater confidence. Gemini can analyze, test code, and suggest fixes — and we are continuing to integrate AI into the IDE’s App Quality Insights tool window by helping you analyze crashes reported by Google Play Console and Firebase Crashlytics. Now, with Ladybug Feature Drop, you can generate deeper insights by using your local code context. This means that you will fix bugs faster and your users will see fewer crashes.

Generate insights using the IDE's App Quality Insights tool window

Some of the features we are launching include:

    • Unit test scenario generation generates unit test scenarios based on local code context.

    generate unit test scenarios based on local code context in Android Studio

      • Build / sync error insights now provides improved coverage for build and sync errors.

        build sync error insights are now avaiable in Android Studio

      • App Quality Insights explains and suggests fixes for observed crashes from Android Vitals and Firebase Crashlytics, and now allows you to use local code context for improved insights.

        save your frequently used prompts for future use with Gemini in Android Studio

    A better Gemini in Android Studio for you

    We recently surveyed many of you to see how AI-powered code completion has impacted your productivity, and 86% of respondents said they felt more productive. Please continue to provide feedback as you use Gemini in your day-to-day workflows. In fact, a few of you wanted to share some of your tips and tricks for how to get the most out of Gemini in Android Studio.



    Along with the Gemini Nano APIs that you can integrate with your own app, Android developers now have access to Google's leading edge AI technologies across every step of their development journey — with Gemini in Android Studio central to that developer experience.

    Get these new features in the latest versions of Android Studio

    These features are all available to try today in the Android Studio canary channel. We expect to release many of these features in the upcoming Ladybug Feature Drop, to be released in the stable channel in late December — with the rest to follow shortly after.

      • Gemini Code Transforms - Modify and refactor your code within the editor
      • Commit message generation - Automatically generate commit messages with Gemini
      • Rethink and Rename - Get help renaming your classes, methods, and variables
      • Prompt library - Save and recall your most commonly used prompts
      • Compose Preview Generation - Generate previews for your composables with Gemini
      • Generate documentation - Have Gemini help you document your code
      • Unit test scenario generation - Generate unit test scenarios
      • Build / sync error insights - Ask Gemini for help in troubleshooting build and sync errors
      • App Quality Insights - Insights on how you can fix crashes from Android Vitals and Firebase Crashlytics

    As always, Google is committed to the responsible use of AI. Android Studio won't send any of your source code to servers without your consent — which means you'll need to opt in to enable Gemini's developer assistance features in Android Studio. You can read more on Gemini in Android Studio's commitment to privacy.

    Try enabling Gemini in your project and tell us what you think on social media with #AndroidGeminiEra. We're excited to see how these enhancements help you build amazing apps!

    Gemini in Android Studio: Code Completion Gains Powerful Model Improvements

    Posted by Sandhya Mohan – Product Manager, Android Studio and Sarmad Hashmi – Software Engineer, Labs

    The Android team believes AI has the potential to revolutionize coding, drive unprecedented innovation and productivity in software development, and supercharge your development productivity. AI code completion is a key part of this effort within Gemini in Android Studio.

    Since launching in May 2024, we've been hard at work improving this feature to provide the best possible experience for all Android developers. In this post, we want to take you “under the hood” on how we achieved a 40% relative increase in acceptance rate since release, and share some of our excitement for how we have seen Android developers use this feature. We hope you'll give it a try and let us know what you think.


    An AI coding companion for every developer

    Our vision for Gemini in Android Studio is to empower developers to build high quality Android apps — making it easy for developers to quickly write correct code aligned with Android's best practices. Launched last year, the first version of Studio Bot provided a chat experience where developers could access Android-specific guidance, powered by Google's latest AI models. Developers are able to ask Gemini in Android Studio to provide developer guidance, summarize technical documentation, and critique their Android code. But in all these cases the feedback is reactive, responding to a user's question.

    AI code completion takes these capabilities a step further by providing real-time feedback as you work as a developer, thinking ahead and suggesting the next few lines of code that you are likely to type based on the context from the surrounding file and what was just typed. You can think of AI Code Completion as a partner in your work — a coding companion waiting to offer guidance when you need it.

    This feature is particularly well suited for tasks like defining business logic, creating database schemas, making network requests, or even writing tests — tasks that are often time-consuming and distract from building the core experience for your app. Many developers have told us how much they enjoy the speed AI completions brings to their app development workflow.

    A moving image demonstrating AI autocomplete in Android Studio

    Bringing more intelligent code completion to Android development

    While we are excited to see how AI Code Completions have improved developers’ workflows, we know there's still more we can do to improve developer productivity. Development of Gemini in Android Studio is an ongoing, large-scale collaborative effort by many teams across Google. Earlier this year, we switched to Gemini 1.5 models and saw a significant improvement in the quality of code completions, resulting in a 2x increase in our developer productivity metrics, including overall acceptance rate for suggestions.

    Once we started doing A/B test experiments to improve AI code completion we found several improvements around model quality, context, and heuristics. This overall effort led to a 40% relative increase in acceptance rate — how often users accept the AI's proposed code suggestions — since we launched. Since then, we've been exploring several improvements like:

      • Retrieval augmentation: With your opt-in consent, we use the files and dependencies most relevant to your current coding context to enhance the accuracy of suggestions. This is just the first step and we're continuing to experiment with adding even more context from the IDE as part of each request.
      • Filtering out low-confidence completions: Prioritize showing high quality suggestions where they are most relevant, and therefore most likely to be accepted. We do this by using a combination of the probabilities returned by the model and using a classifier trained to identify high-quality completions based on developer feedback.
      • Smarter post-processing: The LLM's output for AI Code Completion is fundamentally different from the output users expect in a chat session. Responses need to be tightly scoped in order to quickly output useful code, without surrounding expository text. We apply additional heuristics on the model output to ensure responses are concise and accurate, as well as making sure that the generated code is valid within the context of the user's codebase.
      • Improved models: We use opt-in feedback from Android Studio users, such as noting when a code suggestion is accepted or rejected, to adapt the code completion model to their coding style and preferences over time. We regularly ship new models with higher quality data based on your feedback.

    We are also exploring metrics beyond acceptance rate to better measure AI impact on developer velocity, such as the percentage of total code written by AI.


    Try it out!

    We are rolling out these successful experiments and others as quickly as possible.

    If you haven't tried AI code completions yet, you can enable this feature by clicking on the Gemini sparkGemini button in your editor window and signing in to your Google account.

    A screenshot of Android Studio with a pop-up notification about the Gemini AI coding companion. The notification explains that Gemini is a free feature in preview and requires a Google account login to use.
    Figure 1. Launching Gemini in Android Studio for the first time

    After doing so, navigate to Settings > Tools > Gemini and select "Enable AI-based inline code completions".

    A screenshot of the settings menu within Android Studio, with the 'Gemini' section expanded showing options related to the AI coding companion, including privacy and context awareness.
    Figure 2. Enabling "AI-based inline code completions"

    As always, Google is committed to the responsible use of AI. Android Studio won't send any of your source code to servers without your consent — which means you'll need to opt-in to enable Gemini's developer assistance features in Android Studio. You can read more on Gemini in Android Studio's commitment to privacy.

    Try enabling AI Code Completions in your project and tell us what you think on social media with #AndroidGeminiEra. We're excited to see how these enhancements help you build amazing apps!

    This blog post is part of our series: AI on Android Spotlight Week, where we provide resources — blog posts, videos, sample code, and more — all designed to to explore the latest in AI and its potential for Android app development.