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Exploring AI-Assisted Coding for iOS Development

AI Coding with Xcode & VS Code Forks

Overview

This practical guide shows you how to improve your Swift, SwiftUI/UIKit projects using the features of Cursor, different IDEs and Terminal tools like Claude Code and Codex.

Editors and terminals are converging toward a coding coworker model. I focus on fundamentals that transfer across tools. The tools will change. The fundamentals will not.

Who Is This Book For?

This book is designed for:

  • iOS and Apple platform developers looking for ways to improve their workflow with AI assistance and reduce friction.

This book is your key to becoming a more efficient and innovative Swift/SwiftUI developer by using these new AI tools.

Student discount: Use code "STUDENT" at checkout. Use it only if you are a current student.

Foundations of AI-Assisted Development

  • Published:
    • Xcode Midnight Theme: Bring a dark, high-contrast Xcode look to Cursor/VS Code.
    • Privacy and Security: How AI tools handle code, privacy modes, and SOC 2 concerns.
    • Version Control: Practical Git workflows and tools that reduce friction.

Large Language Models

  • Published:

    • Model Evaluation Approach: How I vibe-check models for iOS 18 APIs and Swift.
    • Model Benchmarks: What pass@k and leaderboards really mean for app dev.
  • Upcoming:

    • Claude Sonnet 4: New capabilities that speed up SwiftUI work.
    • Gemini 2.5 Pro: A "thinking" model for deeper planning and tools.
    • Gemini 2.5 Flash: Fast responses for real-time UI and previews.
    • Claude Sonnet 3.5 & 3.7: Balanced speed, quality, and cost.
    • OpenAI o3: Multi-step reasoning with tool use.
    • OpenAI o4 mini: Trade-offs vs o3 for coding workflows.
    • OpenAI GPT-4.1: Developer-oriented improvements over 4o.
    • DeepSeek R1: Specialized reasoning model.
    • DeepSeek V3: General coding model in DeepSeek's lineup.

Xcode AI

  • Published:

    • Claude in Xcode: How I wire it in Xcode 26 beta and where it helps.
  • Upcoming:

    • Swift Assist: Rise and fall of Apple's earlier approach.
    • Xcode 26 AI Integration: What is new and what actually works.
    • Coding Tools in Action: Real development flow with AI features.
    • Xcode AI vs Competition: Strengths and gaps.
    • Privacy, Security, Enterprise: Guardrails and policies that matter.
    • Advanced Techniques: Power workflows and configurations.
    • Limitations and Future: Where it struggles and where it is going.

Cursor

  • Published:
    • Getting Started with Cursor: Install, configure, and the basics.
    • Getting Started with VS Code: Setup for Apple platform work.
    • Cursor Tab: Faster coding with a TAB TAB TAB flow.
    • Cursor Tab with External Package: Completions across third-party libraries.
    • How Cursor Tab Works: Under the hood and tips.
    • The Future of Cursor Tab: Where it is headed.
    • Edit for Code Generation: Safe, focused edits from prompts.
    • Cursor Chat: In-editor assistance and debugging.
    • Using Chat to Learn: I learn WhisperKit, fix errors, and ship.
    • Agentic Composer: Multi-file tasks and feature scaffolding (Cmd+I).
    • Basic Composer Example: A hands-on walkthrough.
    • Cursor and Rules for AI: Encode standards so AI follows them.
    • Project-Specific Rules: Localize rules per repo.
    • Rules Conflict: Reconcile global vs project rules.
    • Tips on Cursor Rules: Patterns that work.
    • Cursor Rules Directory: Organize and scale rule files.
    • Autocompletion: Tune and get the most from suggestions.

Claude Code

  • Published:

    • Getting Started with Claude Code: Install, first run, and core workflow.
    • Using Other Models: Point Claude Code at Z.AI or Kimi; verify with /status and env overrides.
  • Upcoming:

    • iOS Development Workflow: Terminal-Xcode dance that ships features.
    • Memory and Context: CLAUDE.md and conventions that stick.
    • Tips and Best Practices: Prompts, safety, and review habits.
    • Claude Code vs Alternatives: Cursor, Windsurf, and others.
    • Advanced Features: MCP, automation, and deep planning.

AI in the Development Lifecycle

  • Published:

    • Debug with AI: Explain build errors, propose fixes, and verify.
    • Introducing SweetPad: Xcode-like conveniences in Cursor/VS Code.
    • Building and Running: Build/run from the editor.
    • Debugging: Integrated debugging tips that save time.
    • Running on a Real Device: From simulator to hardware.
    • Formatting: Keep code clean and consistent.
    • Starting with Hot Reloading: Rapid UI iterations (InjectionIII).
    • Starting with InjectionNext: An alternate hot reload path.
    • Cursor Rules for Hot Reloading: Automate boilerplate.
  • Upcoming:

    • Swift 6 Concurrency with LLMs: Diagnose and resolve common issues.

AI Prompts

  • Published:
    • Tips for Prompting: Get better code from your assistant.
    • Prompting Reasoning Models: Adapt to o-series/DeepSeek/Claude styles.
    • System Prompt: Understand and shape the assistant's defaults.

Model Context Protocol (MCP)

  • Published:
    • XcodeBuildMCP: Build, run, and simctl from AI-compatible clients.
    • RevenueCat MCP: Query entitlements and offerings via chat tools.

OpenAI Codex

  • Published:

    • OpenAI Codex in 2025: Where it fits now, with a CI PR review example.
  • Upcoming:

    • Setup and GitHub Integration: Install, authenticate, and run in GitHub Actions.
    • Core Codex Features: TUI, exec mode, and everyday workflows.
    • Automated Code Review (CI): Review diffs and post to PRs.
    • iOS Workflows with Codex: Tasks that pair well with Apple stacks.
    • Code Review Best Practices: Human-in-the-loop and guardrails.
    • GitHub Integration Examples: Practical automation patterns.
    • iOS-Specific Use Cases: Tests, previews, and scaffolds.
    • Advanced Features: Customization and instruction profiles.
    • Limitations and Considerations: What to expect.
    • Comparison with Alternatives: When to choose Codex.
    • Maximizing Productivity: Scope, iterate, and verify.

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