{
  "id": 3374966,
  "title": "Let AI Write the Mac OS App Without Learning Swift",
  "url": "https://urgent.news/2026/08/25/let-ai-write-the-mac-os-app-without-learning-swift",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T23:26:56.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/bgsan6009/let-ai-write-the-mac-os-app-without-learning-swift-463c"
  },
  "original_language": "en",
  "account": "In the rapidly advancing world of artificial intelligence, a developer is exploring innovative ways to generate Mac OS applications without mastering Swift programming language. Utilizing platforms such as GitHub, Claude Code, Gemini, and GPT, the developer has been generating fundamental components of applications and seeking technical advice on various coding issues. Recently, the developer has ventured into more complex features, such as generating projects based on descriptions and prompts, and resolving problems by examining the broader context of the project.\n\nOne recent endeavor involves creating a Mac OS utility program similar to Rufus, a popular Windows tool for creating bootable disk images. The developer has been using Swift UI within the MacRufusSwift subfolder to simulate the basic functionalities of Rufus. Given the developer's limited knowledge of Swift and desktop app programming, assistance is needed for further modifications, testing, and debugging.\n\nTo continue with these AI-based projects, the developer has been considering the use of open-source AI models locally. After installing Ollama and various models, including llama3.1:8b, qwen2.5-coder-7b, gemma4:2b, gemma4:4b, and nomic-embed-text, the developer has found that certain models perform better than others. For instance, gemma4:2b has been helpful in analyzing code context and suggesting solutions, while gemma4:4b, though powerful, requires more than 10GB of memory and causes the laptop to overheat due to intensive GPU usage.\n\nAmong the models, gemma4:4b has proven most effective in resolving complex Swift build errors, while qwen2.5-coder-7b and rafw007/qwen35-claude-coder:9b have provided adequate assistance for simpler coding tasks. As hardware prices and electricity rates continue to rise, the developer is also contemplating running these AI models on a mid-level PC with a dedicated video card to improve performance. The developer's journey into AI-assisted software development highlights the potential of these technologies to democratize app creation, even for those without extensive programming knowledge.",
  "summary": "AI keeps accelerating through the tech industry. Just like many other laid-off tech workers, I feel little miserable how far has AI really affected companies to minimize or eliminate junior to mid level software engineers. Starting last year I've been using the basics of premium GitHub plan with various versions of Claude Code, Gemini, and GPT, to generate bare bones of applications and…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}