SwiftUI and neural networks: when a to-do list no longer satisfies your ambitions

At some point, every programmer wakes up obsessed with writing their own game. Usually that urge runs into harsh reality: you have to learn complex engines like Unity or Unreal Engine, understand physics, and spend months studying documentation. But now that neural networks have become our new "smart" partners, the rules are changing. The author of StarDust Collector chose the path of least resistance, picking SwiftUI and the help of artificial intelligence as his foundation. After he successfully (or almost successfully) built a custom task manager, his ambitions grew, as one would expect. It is a classic example of a technology originally meant for buttons and lists becoming a tool for creative fantasies.

Context plays a key role here. Just a year ago, macOS development was considered the domain of a fairly narrow circle of specialists willing to put up with the quirks of Apple's ecosystem. But powerful language models have made entry into this sandbox practically free. The author was not afraid to use SwiftUI, a declarative framework that developers usually use for corporate apps or simple interfaces. Forcing this framework to work as a game engine looks bold at the very least, and at most like a subtle irony aimed at traditional development methods. It is like trying to build a racing car from a flat-pack furniture kit, with AI as a dubious but very diligent instruction manual.

What actually changed in the process? The main difference from classic coding is that the developer no longer writes code in a vacuum. He holds a dialogue. In the case of StarDust Collector, the AI took on the groundwork: generating basic structures, handling key-press events, and even attempting to implement game logic. Of course, there were problems. Neural networks tend to hallucinate when it comes to SwiftUI's specific limitations on the desktop. But this is exactly where the human's new role shows: no longer just a "coder" but a senior editor and architect who filters the stream of ideas the machine produces. This turns development into a kind of intellectual ping-pong, where iteration speed increases many times over.

Why does this case matter for the industry as a whole? We are watching AI finally destroy the myth that you need "deep knowledge" to get started. If building a macOS game once took years of experience, today it is enough to understand the basics and know how to phrase prompts well. This opens the door for thousands of indie developers whose ideas used to gather dust for lack of technical skills. StarDust Collector is not just a puzzle, it is a symbol of the democratization of development. Yes, SwiftUI has its limits, and yes, AI can make mistakes, but the result is plain to see: a working app in the App Store, built without years of learning Swift.

Ultimately, we arrive at an interesting conclusion about the future of software. Soon we will stop judging programs by the complexity of their code, because code will become a "free" and endless resource. Only the idea will remain important, along with a person's ability to carry it through to the end, using AI as a lever. Game development in SwiftUI sounds like an oxymoron, but it is exactly such strange hybrids that show us where the world is heading. We are no longer limited by tools; we are limited only by our own imagination and our patience when talking to a chatbot.

The key question: will SwiftUI become the new standard for indie games on Mac, or is it just a temporary anomaly caused by the hype around AI?