AI-Driven Swift
Architecture
Build production-grade iOS apps with Swift 6, Clean Architecture, and AI as your engineering partner.
Foreword by Jon Reid · 9 chapters · Packt Publishing
Foreword by Jon Reid
Jon Reid is the author of iOS Unit Testing by Example: XCTest Tips and Techniques using Swift and one of the most respected voices in Test-Driven Development on Apple platforms. His hands-on experience spans Apple, American Express, Adobe, eBay, and Walmart — applying TDD in real production codebases under genuine engineering constraints, not controlled examples. Through qualitycoding.org, he has spent years translating that experience into practical guidance — articles, videos, and talks that have shaped how a generation of iOS engineers thinks about code quality and sustainable delivery.
"They are the guides I didn't know I needed, writing the book I didn't know I was waiting for."
Overview
AI isn't replacing engineers — it's giving the best ones an unfair advantage. This book shows you how to work alongside intelligent tools to design, build, and ship iOS apps that are fast, testable, and built to last.
Starting from a solid foundation in Swift 6 Concurrency and Clean Architecture, you'll progressively integrate AI tooling into your workflow — from Claude Code for development to Apple Foundation Models for on-device inference. Every technique is grounded in production experience, not theory.
By the end, you'll have a complete system: a codebase that's modular, a workflow that's AI-augmented, and the judgment to know when to reach for each tool.
Who is this book for
Written for engineers who are past the basics and ready to raise the ceiling.
- iOS and Swift developers with at least one production app who want to adopt modern architecture patterns
- Engineers looking to integrate AI tools into their daily workflow without abandoning best practices
- Tech leads and senior developers responsible for codebase quality, testability, and long-term maintainability
- Swift developers curious about on-device AI through Apple Foundation Models and MCP
- Teams navigating the transition from UIKit to SwiftUI on existing, legacy codebases
What you will learn
- Apply Swift 6 Concurrency — actors, structured concurrency, and Sendable — in real production code
- Design layered iOS architectures using Clean Architecture and SOLID principles with SwiftUI
- Accelerate development with Claude Code: prompting strategies, review cycles, and AI-assisted TDD
- Integrate the Model Context Protocol (MCP) to connect AI systems with your app's context
- Integrate Apple Foundation Models to build private, on-device AI-powered features within the Apple ecosystem
- Migrate UIKit codebases to SwiftUI incrementally, safely, and without big-bang rewrites
- Write RFCs and ADRs that capture decisions and align teams before a single line of code is written
- Build a test-first culture with AI as a pairing partner, not a shortcut
Key topics covered
Swift 6 Concurrency
Actors, async/await, structured concurrency, and Sendable — applied correctly in production codebases.
SwiftUI + Clean Architecture
Layered, testable codebases built with SOLID principles and modern SwiftUI patterns.
AI-Assisted Development
Claude Code as a daily engineering tool — from architecture decisions to test generation.
Model Context Protocol
MCP fundamentals — how to give AI systems meaningful, structured access to your app's context.
Apple Foundation Models
On-device LLM inference with Apple Intelligence and MLX Swift — private, fast, no server required.
Testing + TDD with AI
Test-driven development accelerated with AI — writing better tests, faster, without cutting corners.
Legacy Modernization
Incremental UIKit to SwiftUI migration for real codebases — no big-bang rewrites, no regressions.
RFCs and ADRs
Engineering communication that drives alignment — decisions documented before they become debt.
Why this book matters
The tools changed. The fundamentals didn't.
AI as a collaborator
The most productive engineers aren't the ones who ignore AI — they're the ones who know how to direct it. This book treats AI as a pairing partner with clear boundaries, not a magic wand.
A shift in development workflows
From writing RFCs to running test suites, AI changes where human judgment is most needed. This book maps that shift in concrete, reproducible workflows you can adopt today.
Production-ready, not theoretical
Every pattern and technique comes from real iOS projects. No academic exercises, no greenfield toy apps — just the decisions that matter when code ships to real users.
About the Authors
Walid Sassi
Lead iOS EngineerWalid Sassi is a Lead iOS Engineer with over a decade of experience building large-scale mobile applications. He has led critical architectural transformations, including clean architecture adoption and checkout system redesigns in production environments. Walid is also the host of the Swift Academy podcast, where he collaborates with leading experts from the Apple ecosystem worldwide. His work focuses on scalable architectures, developer productivity, and modern iOS engineering practices.
Dave Poirier
iOS & Security ExpertDave Poirier is an expert in iOS development and software security with more than 25 years of experience in the software industry. He specializes in secure application design, reverse engineering, and advanced Apple platform development. Dave brings deep expertise in building resilient and secure systems.
Technical Review
Reviewed for code quality, architectural consistency, and real-world applicability.
Achraf Trabelsi
Technical Leader · Oodrive, ParisAchraf Trabelsi is a Technical Leader with over 10 years of experience in iOS development. He has reviewed the technical content of this book to ensure high standards of code quality, architectural consistency, and real-world applicability in production environments.
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