Why does AI struggle with Apple's Swift programming language for iOS dev? Apple’s developer ecosystem makes it harder for LLMs to train on Swift code vs other languages. Apple’s Swift updates break existing Swift code, and limited public Swift code keeps AI from improving their Swift generation. We also cover why many iOS developers now use both VS Code and Xcode to make Swift development for iOS simpler.
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Chapters:
00:00 Intro - Are LLMs Worse at Swift?
00:14 - Why AI Struggles With Swift
01:00 - Most Real Swift Code Isn’t Public
01:13 - AI Reverts to Old Swift Patterns
01:29 - Apple’s Constant Breaking Changes
02:05 - Open-Source Languages Adapt Differently
02:34 - Apple Updates Repositories for LLMs
03:07 - Swift Assist Didn’t Arrive as Promised
03:55 - Two IDEs: VS Code + Xcode
04:40 - SwiftUI and Swift Falling Behind
05:13 - Modern Swift Isn’t in LLM Training Data
05:50 - Android Teams Are Now Outpacing iOS
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Across social media, Speedify CEO Alexander Gizis and engineers discuss the latest internet technologies, including Starlink satellites, Wi-Fi 7, Apple innovations, fiber optics, next-gen routers, remote connectivity, AI, and networking protocols.
For the past decade, Alex Gizis and a team of network engineers have been building Speedify. Speedify is a software application that combines DSL, 4G, 5G, WiFi, and satellite connections for faster speeds, greater stability, and security—optimizing your online experience while keeping your data safe.
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