Discover 84 articles on AI in mobile performance
Showing 20 of 84 articles (Page 3 of 5)
Umair Ali from ZAR Engineering turned weeks of mobile development work into single days by eliminating a hidden productivity killer. The secret? Rethinking how Git worktrees interact with AI coding assistants.
Daehyeon Mun built an AI companion app that earned 4.9 stars and won Expo's Most Creative App award. As a solo mobile engineer, he used custom shaders and worklet-based animations to make AI feel emotionally in...
Sandhya Mohan and Trevor Johns from Google just dropped a game-changer: Android Studio now lets you use ANY LLM—OpenAI, Claude, or even local models—to power your AI coding assistant.
Building an AI-powered iOS app from scratch sounds exciting until you hit React Native's rough edges. The v0 iOS team found plenty of them.
Antoine van der Lee reveals why he ditched AGENTS.md files across all his projects. The replacement? A reusable AI knowledge system that's already supported by Cursor, Claude, and Gemini.
Rupak Vignesh Swaminathan and team from Amazon AGI just solved a major headache for mobile AI: how do you fine-tune vision-language models on devices that can't handle backpropagation? Their answer challenges c...
Thomas Ricouard spent only 2% of his time in Xcode last year while shipping more iOS code than ever. His secret? Treating AI agents as tireless coworkers, not autocomplete tools.
Running LLMs on Android devices just got a serious performance deep-dive. Callstack profiled MLC-LLM's OpenCL backend to uncover what actually happens when you run local AI on mobile hardware.
Meta just shared how they're using AI to automatically fix security vulnerabilities across billions of lines of code. The twist? The AI doesn't need to be perfect to be incredibly useful.
Matthew McCullough from Google just dropped the toolkit that could make AI glasses actually useful. Developer Preview 3 brings purpose-built libraries for augmented experiences that keep users present in the re...
Sandhya Mohan and Trevor Johns from Google just dropped Android Studio Otter 2, and it's packing Gemini 3 Pro with a 1 million token context window. Your AI coding assistant just got a serious upgrade.
Denis Domanskii from JetBrains tackles a problem every AI agent developer faces: your agent works, but you can't see what it's doing. When debugging takes hours and costs are invisible, you're flying blind.
Jakub Mroz from Software Mansion just shipped a fully local RAG pipeline in React Native. No cloud APIs, no data leaks, just on-device AI that actually works.
Abdallah W Shaban from Google's Flutter team just dropped GenUI SDK—a way to let AI generate entire interactive UIs on the fly, not just text responses. Think magazine-style layouts that adapt to each user, bui...
Trendyol scaled from 4,869 to 10,400 UI tests in under a year — while keeping execution under one hour. Here's how AI became their test generation engine.
Jakub Mroz from Software Mansion just built a note-taking app that understands what you mean, not just what you type. No cloud APIs, no recurring costs, and it works completely offline.
Real-time audio in React Native isn't just about playing files anymore. Callstack's engineering team reveals why buffer-based pipelines are becoming essential for voice AI, live streaming, and audio processing ...
Google just dropped an experimental Flutter extension that turns Gemini CLI into an AI coding assistant that can build production-ready apps from scratch. This isn't just autocomplete: it's an agent that plans,...
Caren Chang, Joanna Huang, and Chengji Yan from Google reveal how they're making Gemini Nano v3 940 tokens/second fast while keeping quality consistent across devices. The secret? LoRA adapters and rigorous eva...
Meta just shared how they moved billions of daily users to their new on-device ML framework. The performance gains are substantial.