AI Tools for Swift Development: Overview of Solutions 2024

AI Tools for Swift (iOS/macOS) Development: 2024 Overview

Development for the Apple ecosystem — Swift, SwiftUI, UIKit — has traditionally been the domain of people working in Xcode. However, in 2024, AI assistants have become an integral part of the workflow for iOS/macOS developers. We have compiled an overview of the most relevant tools that will help you write code faster, find bugs, and automate routine tasks.

1. GitHub Copilot — The Universal Leader

Although Copilot was originally created for other languages, its support for Swift has significantly improved. The tool works through Copilot for Xcode (official plugin) or through editors like VS Code with the Swift extension.

• Pros: Understands SwiftUI modifiers, Core Data, and Combine very well. Suggests entire functions based on comments.
• Cons: Sometimes generates ObjC-style code instead of modern Swift. Requires a subscription ($10/month).

2. Codeium — A Free Alternative

Codeium is rapidly gaining popularity among Swift developers. It has a native extension for Xcode (via the extension simulator) and understands the project context.

• Pros: Completely free for individual developers. Quickly completes lines of Swift code, correctly handles optionals and closures.
• Cons: Falls short of Copilot in complex refactoring. Does not always correctly handle asynchronous code (async/await).

3. Cursor — An Environment with AI Built-In

Cursor is a fork of VS Code with integrated AI. For Swift development, it is ideal if you are not tied to Xcode (for example, using SPM and Vapor for server-side Swift).

• Pros: A powerful chat that can rewrite an entire file considering the architecture. Supports Swift 5.9 and macros.
• Cons: Does not replace Interface Builder or the Xcode debugger. Poorly suited for iOS projects with Storyboards.

4. Tabnine — Privacy First

Tabnine offers models that can be trained on your code locally. For companies working on closed Swift projects (banking, healthcare), this is the best choice.

• Pros: Works offline, does not send code to the cloud. Complements the UIKit style well.
• Cons: Basic models are weaker than Copilot. Cannot generate comments and documentation for Swift.

5. Apple MLX and Local Models

With the release of Apple's MLX framework, it became possible to run AI models directly on a Mac. This allows you to create custom assistants for generating Swift code without an internet connection.

• Pros: Full control, privacy, works on Apple Silicon.
• Cons: Requires ML skills. No ready-made plugins for Xcode — only integration via the terminal.

What Should an iOS/macOS Developer Choose?

If you work in classic Xcode — start with Codeium (free) or Copilot (maximum accuracy). For server-side Swift and Vapor — take a look at Cursor. If security is critical — Tabnine.