Discover 84 articles on AI in mobile performance
Showing 20 of 84 articles (Page 4 of 5)
Ander Dobo and Kenzie Davisson from Google's Flutter team just dropped a game-changer: an AI assistant that can actually fix your runtime errors, search pub.dev, and hot reload your app—all through natural lang...
Amanda Fitch from Flutter reveals Firebase Studio's new AI capabilities that can autonomously generate entire Flutter apps—complete with authentication, state management, and Firebase integration—without manual...
Software Mansion just dropped React Native RAG, bringing full Retrieval-Augmented Generation to mobile devices. No cloud required, no API costs, and your user data never leaves the phone.
Sandhya Mohan and Jose Alcérreca from Google just dropped Agent Mode for Gemini in Android Studio. This isn't another code completion tool—it's an AI that creates execution plans, makes multi-file changes, and ...
Caren Chang, Chengji Yan, and Taj Darra from Google just made on-device AI dramatically easier for Android developers. Four new ML Kit APIs let you integrate Gemini Nano without any prompt engineering or fine-t...
Ander Dobo and Sandhya Mohan from Google just dropped a game-changer for Flutter devs: Gemini AI now speaks Dart natively in Android Studio. No more wrestling with generic AI that doesn't understand your widget...
Kelvin Boateng from Google's Flutter team announces a new learning series that teaches developers to build apps that don't just respond—they proactively assist and automate. Ready to move beyond traditional UIs...
Duolingo's QA team cut manual regression testing by 70% using AI. Here's how they made it work at scale.
Norbert Klockiewicz from Software Mansion just dropped a library that lets you run LLaMA 3.2 models directly on mobile devices. No API calls, no backend costs, no data leaving the device.
Sandhya Mohan from Google just dropped the biggest Gemini in Android Studio update since launch. If you're still manually writing commit messages and test scenarios, this changes everything.
What if you could ditch Xcode's sluggish editor and use VSCode/Cursor for iOS development? Turns out, you can build a surprisingly functional setup.
DoorDash handles 2 billion orders annually, and every ETA prediction matters. Their old tree-based models couldn't keep up with the complexity.
Taj Darra just announced that Google is opening Gemini Nano to all Android developers. On-device AI just became accessible for production-ready mobile apps.
Przemyslaw Weglik from Software Mansion shows how to run real-time AI models directly on mobile devices using React Native. No server calls, no latency, just pure on-device inference.
Jakub Chmura from Software Mansion shows how to run AI models directly on iOS devices without a single API call. No cloud dependency, no latency, just native performance.
Uber's mobile testing was broken. Engineers spent 30-40% of their time maintaining test scripts that broke with every UI change. So they built an AI that tests apps like a human would.
Very Good Ventures took the stage at Google Cloud Next 2024 to show how Flutter and Gemini are changing the game development playbook. Literally.
Dave Burke, VP of Engineering at Google, just dropped the playbook for integrating Gemini AI into Android apps. If you've been waiting for the right moment to add generative AI to your mobile stack, this is it.
Dave Burke from Google just dropped the blueprint for running foundation models directly on your Android device. No cloud required, no network dependency, just pure on-device AI.
Snap Research just proved that Vision Transformers can run as fast as MobileNet on actual mobile devices. Yes, really.