37 articles on AI for Android performance
Showing 20 of 37 articles (Page 1 of 2)
Mariam Hasnany from Google's Flutter team just dropped their AI strategy, and the numbers reveal a massive shift: 79% of Flutter developers already use AI assistants. But there's a trust problem.
Pierrick CAEN from Medium's Android team reveals how they turned AI coding assistants from generic code generators into team-specific experts. The secret? Teaching the AI their exact conventions through structu...
Grab's Android team cracked a 6-year problem that stumped multiple attempts: enabling R8 optimization across 9 million lines of code. One engineer led the charge, and AI was the secret weapon.
Pascal Hartig explores how Meta's Product Security team uses AI to automatically patch security vulnerabilities across millions of lines of Android code. The challenge? Doing this at scale without disrupting th...
Matthew McCullough from Android just dropped something the AI coding world needed: a public leaderboard showing which LLMs actually understand Android development. No more guessing which AI assistant knows Jetp...
Trevor Johns from Google just dropped 6 expert tips for using Gemini AI in Android Studio, and they're a game-changer for how we build apps. These aren't basic prompting tricks—this is how Google engineers and ...
Revyl introduces a CLI tool that gives Claude Code vision-based mobile app testing capabilities. The tool interacts with apps like a human — no scripts, selectors, or element IDs needed — enabling a full write-...
Matthew McCullough from Android reveals how Google is fundamentally changing app interaction: users won't open apps anymore, they'll just ask AI to handle tasks for them.
Callstack just released a CLI tool that finally lets AI agents actually test mobile apps. No more agents that can write code but can't click a button.
Ricardo Marin from Grindr turned memory leak debugging from a 2-4 hour manual slog into a minutes-long automated process. The secret? Recognizing that memory leaks are pattern-matching problems, not creative on...
Instacart's Caper team turned a multi-quarter Fragment-to-Compose migration into a dramatically faster effort using AI coding assistants.
Google just solved one of mobile AI's biggest challenges: how do you customize foundation models for your app without breaking device constraints? Their answer might surprise you—it's not fine-tuning.
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.
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.
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.
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.