Module 1 of 2 in AI-Assisted iOS Development

AI-Assisted Development for iOS

Jul 18 2025, Swift 6.1, iOS 18, Xcode 16.3

AI is coming for your job. And your life. Or maybe it isn’t. Who, other than Sarah Connor, knows? Whilst we wait for the AI apocalypse, join us on this course to discover how you can benefit from a selection of different LLM-based technologies to assist you with iOS development. Whether it’s creating a software spec, generating code, writing tests or debugging gnarly issues, we’ll explore how you can become more productive, and the limitations inherent in current AI state-of-the-art. By Sam Davies.

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EXPERIENCE

Intermediate level

EST TIME TO COMPLETE

2 hrs, 45 mins

CONTENT

5 lessons

Module outcomes

Gain a good understanding of the different AI-tools available to iOS developers.
Discover how to use chat-based tools to improve project management and documentation.
Learn how to use AI to generate code, and how to keep it in check.
Become competent at leveraging AI as an assistant to your development workflow.
Understand the limitations of AI-assisted development, and how to work around them.

Covered concepts

ChatGPT
Google AI Studio
GitHub Copilot for Xcode
Cursor
Claude Code
Writing, coding, testing and debugging with AI

Module content

Using Chat-based LLMs for iOS Development Lesson (31 mins)

The most widely-used interface to LLMs is the chat interface, through tools like ChatGPT. In this lesson we’ll take a look at how to best leverage chat-based LLMs in the process of building iOS apps, and discover some of their limitations.

Start

Introduction • Start Reading · 8 mins

Using ChatGPT to Build iOS Apps Reading · 3 mins

Writing a Software Spec Using ChatGPT Video · 8 mins

Google AI Studio Reading · 2 mins

Duelling AIs Video · 8 mins

Conclusion Reading · 1 min

Using GitHub Copilot for Xcode Lesson (36 mins)

GitHub Copilot for Xcode is a tool that integrates the power of GitHub Copilot directly into Xcode. It uses AI to suggest code completions, and can even write code for you. In this lesson, we’ll explore how to use Copilot for Xcode and investigate any pitfalls we may encounter.

Start

GitHub Copilot for Xcode • Start Reading · 6 mins

Installation & Code Completion Video · 11 mins

Writing Code Reading · 1 min

Creating a View Video · 6 mins

Working to a Software Specification Reading · 1 min

Fixing the View Video · 9 mins

Conclusion Reading · 1 min

Getting Started with Cursor Lesson (40 mins)

Cursor is one of the front-runners in the AI-powered IDE space. It’s a powerful tool that can help you write code faster and more accurately. In this lesson, we’ll explore how to get started with Cursor and see how well it works for iOS development.

Start

Cursor • Start Reading · 2 mins

Project Status Video · 10 mins

Large Changes Reading · 1 min

Completing Implementation Video · 10 mins

Debugging in an AI World Reading · 3 mins

Fixing Errors Video · 13 mins

Conclusion Reading · 1 min

Getting Started with Claude Code Lesson (54 mins)

Claude Code is a tool that exposes the power of Claude directly in a terminal CLI app. In this lesson, we’ll explore how to get started with Claude Code, investigate its project-wide capabilities, and use it to build and fix a test suite for Yesterday’s Weather.

Start

Claude Code • Start Reading · 4 mins

Installation Video · 11 mins

Debugging Reading · 1 min

Fixing the Weather API Video · 13 mins

Testing Reading · 3 mins

Building a Test Suite Video · 20 mins

Conclusion Reading · 2 mins

Xcode Intelligence Lesson (4 mins)

Xcode 26 introduces extensive AI-powered features—integrating many of the tools we’ve explored in this course. In this lesson, we’ll summarize the new features, even though they’re not yet available.

Start

Xcode Intelligence • Start Reading · 4 mins

Module outcomes

Covered concepts

Module content

Getting Started with AI-Augmented Coding in iOS

All videos. All books. One low price.

All videos. All books.
One low price.