jetpack Archives

AppWizard

March 6, 2026

Google says these AI models are best at coding Android apps

Google is testing various AI models for Android app development through a new platform called “Android Bench,” which evaluates the performance of leading AI language models (LLMs) against benchmarks specific to Android development. The benchmarks assess capabilities in areas such as Jetpack Compose, asynchronous programming, data persistence, dependency injection, navigation migrations, Gradle/build configurations, and interaction with Android components. Google has identified Gemini 3.1 Pro Preview as the top-performing model with a score of 72.4%, followed by Claude Opus 4.6 at 66.6% and OpenAI’s GPT 5.2 Codex at 62.5%. Gemini 2.5 Flash scored the lowest at 16.1%.

AppWizard

March 4, 2026

Google stuffs Gemini into Android Studio Panda 2 to build apps from prompts

Google has released Android Studio Panda 2, featuring an AI agent that generates applications and an AI-enhanced version upgrade assistant. This version is based on JetBrains IntelliJ IDEA's community edition. The AI capabilities are powered by Gemini, Google's large language models, with a free tier offering a lightweight version of Gemini 2.5 Pro. Developers can create prototypes with a single prompt, and the AI agent automates project planning, code generation, error analysis, and self-correction. Users must sign into Gemini and enable AI integration, with data collection practices in place. A demonstration showed the AI generating a bridge deal analyzer, which functioned but had inaccuracies in the generated code. Android Studio also experienced performance issues and deprecated certain features, including the Custom View preview and 3D mode in the layout inspector.

AppWizard

February 26, 2026

Google Outlines How AI Agents Will Interact with Android Apps

Google is enhancing Android apps to align with user expectations for artificial intelligence, similar to advancements in Windows 11. Developers received a preview of this initiative, which includes a new feature called AppFunctions. This feature allows Android apps to expose public interfaces for specific functionalities, enabling seamless interaction with AI agents and system-level services. AppFunctions are analogous to the Model Context Protocol (MCP) for cloud-based AI interconnectivity and will be accessible through Google's Jetpack library and platform APIs, ensuring local interactions on devices. AppFunctions are currently in early development, with initial examples implemented in the upcoming Gemini version for the Samsung Galaxy S26 series and other Samsung devices running OneUI 8.5 and higher. Users will interact with Calendar, Notes, and Tasks using AppFunctions to streamline activities. Google is launching an early preview of AppFunctions through a beta feature in the Gemini app, available on the Galaxy S26 series and select Pixel 10 devices, allowing users to delegate tasks to AI agents by double-pressing the power button. The initial rollout will focus on apps in food delivery, grocery, and rideshare sectors in the US and Korea. AppFunctions are expected to be integrated into Android 17, with a stable release anticipated around mid-year.

AppWizard

February 26, 2026

Google details MCP-like ‘AppFunctions’ that let Gemini use Android apps

Google has introduced early-stage developer capabilities for Android aimed at connecting applications with intelligent agents and personalized assistants, specifically Google Gemini, while prioritizing privacy and security. A key feature of this initiative is AppFunctions, introduced with Android 16, which allows applications to expose specific capabilities for access by agent apps, enabling seamless task execution on devices. Developers can define app functionalities for AI assistants, facilitating various use cases such as task management, media creation, cross-app workflows, and calendar scheduling. A practical example includes the Samsung Gallery app, where users can request specific photos through Gemini, which triggers the appropriate function to retrieve them. Additionally, Google is advancing a UI automation framework for AI agents, allowing for the execution of generic tasks across applications with minimal coding. Future expansions of these capabilities are planned for Android 17, with ongoing collaboration with select app developers to enhance user experiences.

AppWizard

February 16, 2026

Overwatch tier list for Season 1 Conquest

The latest update in Overwatch's Reign of Talon chapter has introduced five new heroes, the most significant addition since the game's launch. The current tier list categorizes 50 characters by role, with Domina being notably powerful, and Sigma remaining a top choice in competitive play. Other dominant tank characters include D.Va, Zarya, and Ramattra, while Winston is favored against unprepared teams. New heroes Anran and Emre are well-balanced, but established characters like Sojourn, Ashe, Cassidy, and Bastion continue to perform strongly. Vendetta has the highest win rate at approximately 55%. In the support category, Jetpack Cat is highlighted for her mobility and healing, while Mizuki is more situational. The top heroes by win rate are Vendetta (55.6%), Domina (54.4%), Mizuki (54.2%), Zenyatta (53.1%), and Doomfist (52.9%). Lower pick rate heroes often have higher win rates, emphasizing the need for mastery over popular choices.

AppWizard

January 28, 2026

Why High-Performance Android Apps Require More Than Just Kotlin and Jetpack

Smartphone users expect immediate feedback and seamless experiences from applications, which requires a holistic approach to mobile development that integrates user interface design with robust server-side capabilities. Challenges in app architecture and backend integration can hinder performance, particularly for high-level applications. Developers often focus on frontend aspects, neglecting the importance of backend processes, which can lead to issues such as inefficient API payloads and data fetching latency. Architectural bottlenecks, like excessive data retrieval, can waste bandwidth and battery life. A well-structured Android architecture can separate UI from data management complexities, aiding scalability. Modern tools like Jetpack Compose enhance UI development but can introduce performance issues if backend state delivery is inconsistent. Collaborating with specialized nearshore mobile app development teams can help US-based companies address these challenges effectively, benefiting from time zone alignment and cost-effective solutions while maintaining engineering expertise.

AppWizard

December 30, 2025

xAI Hires Android Engineers to Build Mobile Apps for Grok AI Chatbot

Elon Musk's xAI is hiring Android engineers in London, New York, Palo Alto, and San Francisco to enhance mobile experiences for its Grok AI chatbot and the X platform. Candidates should have expertise in Kotlin, Jetpack Compose, and reactive programming. Applications can be submitted by messaging Attila on X or visiting xAI's jobs portal, with a focus on practical experience. The hiring process includes a 15-minute phone interview, two technical rounds involving live coding and hands-on exercises, and a final meeting with the xAI team. The positions offer competitive salaries, equity compensation, and a comprehensive benefits package. Musk aims for xAI to achieve artificial general intelligence (AGI) within two years, with Grok 5 expected in early 2026 having a 10 percent chance of reaching AGI. The roles aim to integrate AI capabilities into mobile devices for widespread use.

AppWizard

December 15, 2025

Google Unveils New Tools and Libraries for Building AI Glasses Apps

Google has released Android XR SDK Developer Preview 3, which enhances AI Glasses development with two new libraries: Jetpack Projected and Jetpack Compose Glimmer, and expands ARCore for Jetpack XR to include motion tracking and geospatial capabilities. Jetpack Projected allows apps to project XR experiences from host devices to AI Glasses, enabling interaction with the glasses' hardware. Jetpack Compose Glimmer provides UI components for creating augmented experiences, utilizing optical see-through technology. An AI Glasses emulator is also available in Android Studio for developers to preview UI designs. The expanded ARCore capabilities include retrieving planar data, anchoring content, motion tracking, and geospatial pose support. Developers can access these features through Android Studio Canary with the latest emulator version.

AppWizard

November 11, 2025

Google to penalize battery-draining apps in new Play Store policy

The Android Developers Blog has announced new features aimed at enhancing app development, including updates to Jetpack Compose for intuitive UI development, improved performance metrics for better app insights, and expanded libraries for increased resources. The blog also highlights the importance of community engagement, encouraging developers to share feedback and participate in webinars and Q&A sessions with the Android team.

AppWizard

October 27, 2025

AppContext To Keep Apps Alive In Android

Google is set to enhance tablet multitasking in the upcoming Android Q release by introducing a new gesture that allows users to create a compact floating "bubble" window for any app. This feature will enable users to drag an app icon from the taskbar to the screen's bottom corners, facilitating a more seamless app-switching experience. The floating windows will allow various applications, such as browsers and note-taking tools, to float above the main workspace, enabling users to engage with multiple applications simultaneously, particularly on larger devices. This enhancement aims to improve the user experience on Android tablets and foldable devices by providing a more intuitive multitasking environment. The feature will utilize the Bubbles API and is expected to be rolled out for user testing as part of Google's quarterly platform release schedule.