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Android Developers Backstage
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Android Developers Backstage

Author: Android Developers

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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google.

Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
225 Episodes
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Learn how the latest Android Studio AI features can streamline your daily development tasks. While the original agent mode chat was helpful, we rebuilt it with a re-architected experience that supports parallel tool calls and background sub-agents. For instance, you can now have an agent analyze code in the background while you continue working on a different feature. Try out the updated Journeys feature to see how plain text instructions can automatically test your critical user paths. Subscribe to our YouTube channel → https://goo.gle/AndroidDevs Speakers: Tor Norbye, Chet Haase, Xavier Durcohet, Esteban de la Canal
Discover the origin story of Jetpack Compose and how it changed the way Android developers build applications. We discuss the original challenges of unbundling the UI toolkit from the operating system to deliver faster updates. By adopting Kotlin and a declarative approach, the team reduced the boilerplate necessary to build user interfaces. While earlier systems relied heavily on XML, Jetpack Compose shifts to a code-first model for easier iteration. Listen to the team share their insights on modifiers, performance improvements, and the future of Android design.   Resources: Android is Compose-first → https://goo.gle/compost-first Jetpack Compose overview → https://goo.gle/compose-overview   Subscribe to our YouTube channel → https://goo.gle/AndroidDevs Speakers: Clara Bayarri, Tor Norbye, Chet Haase, Romain Guy
What's so great about R8?

What's so great about R8?

2026-02-1801:06:30

Join hosts Tor and Romain as they sit down with Søren Gjesse, Chris Craik, and Shai Barack. This week, the team dives into R8, the whole-program optimizer that handles the "last mile" of your code before it runs on a device. Learn why implementing R8 is effectively like giving your users a "free hardware upgrade" by making their current devices perform like models that are years newer. Enable app optimization → https://goo.gle/R8-Optimizer Chapters: 0:00 - Intro 0:23 - What is R8? 1:16 - R8 vs D8 1:40 - Tree Shaking & Dead Code 4:14 - Handling Reflection 10:10 - Performance Co-Optimization 13:03 - Kotlin-Specific Gains 16:22 - Real-World Impact 41:50 - Jetpack Compose & R8 50:51 - Keep annotations 1:03:49 - The "Free Hardware Upgrade"
XR: Virtually here

XR: Virtually here

2026-01-1443:30

Join hosts Tor, Chet, and Romain as they sit down with Diego Perez (Android Studio) and Patrick Fuentes (Developer Relations) to explore the new frontiers of Android XR. This episode of Android Developers Backstage breaks down the latest announcements and Developer Preview 3, offering a technical look at how developers can start building for spatial environments today. Resources: Hello Android XR sample → https://goo.gle/3Nbnrre  Build for AI Glasses with the Android XR SDK Developer Preview 3  → https://goo.gle/49lUjGr  Chapters: 0:00 - Intro 4:42 - Latest announcements 5:46 - AI Glasses 8:28 -Developer preview 3 16:13 - Spatialization 18:29 - Tools team perspective 24:07 - Using the XR Emulator 29:00 - What is an Orbiter? 37:33 - What hardware is currently available 38:39 - Final thoughts
In this episode Tor and Chet chat with Raluca Saucic and Eugene Yakavets about the new "Bring Your Own Model" feature in Android Studio which allows using other models than Gemini for agent mode, including models from Anthropic,  OpenAI, and more. We also discuss using local models via Ollama and LM Studio. Resources: Use a remote model → https://goo.gle/43N2Z5E Use a local model → https://goo.gle/3Xij27V   Chapters: 0:00 - Intro 0:49 - Bring your own model 4:13 - Bring your own key 7:24 - Anthropic model 13:17- How often do you need to remind the model of the context? 17:40 - Thinking vs planning 20:25 - What happens when the API needs to give multiple answers to a complex question? 24:14 - Supported models 31:18 - Are there any barriers when using a different model? 34:07 - Support for code completion 38:16 - GitHub's relationship with agents 44:35 - Using agents for development 56:36 - Studiobot 57:56 - Wrap up  
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