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AI Driven Swift Architecture: Build modern iOS SwiftUI apps with Foundation Models, MCP agents, Clean Architecture, and TDD [Pehme köide]

  • Formaat: Paperback / softback, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 27-Apr-2026
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 1835886558
  • ISBN-13: 9781835886540
  • Pehme köide
  • Hind: 63,89 €
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  • Formaat: Paperback / softback, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 27-Apr-2026
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 1835886558
  • ISBN-13: 9781835886540
Build future ready iOS apps with Apple Foundation Models, MCP agents, Claude Code, and AI guided testing to ship code faster





Key Features

Build SwiftUI apps powered by Apple Foundation Models and on-device intelligence Apply MCP workflows to create AI-driven feature agents in real projects Master Clean Architecture, TDD, and modernization with Claude Code support

Book DescriptionAI isnt replacing engineers, its developers collaborating with intelligent tools to build stronger, safer, and more maintainable applications. AI-Driven Swift Architecture is your practical guide to help intermediate and senior iOS developers confidently embrace the next era of Apple development.

This book takes you on an unfiltered journey into modern Swift development with Swift 6 concurrency, SwiftUI, and Clean Architecture at its core. Youll learn how Claude Code and advanced AI assistants can accelerate feature development, improve architectural decision-making, and transform testing into a collaborative workflow.

You will explore Apples new on-device foundation models for private, offline intelligence and put the Model Context Protocol (MCP) into practice by building custom MCP servers in Swift. From AI-powered legacy modernization to governance workflows with Request for Comments and Architecture Decision Record, every chapter focuses on real code, real patterns, and real outcomes.

Whether youre modernizing existing UIKit systems or designing scalable SwiftUI architectures from scratch, this book will offer you a repeatable workflow for shipping future ready iOS apps feature by feature, agent by agent, and test by test.

What you will learn

Configure Xcode workflows for AI assisted Swift workflows Apply Swift concurrency patterns with AI guided reasoning Design SwiftUI features using Clean Architecture boundaries Learn to use Claude Code to drive TDD, refactors, and code reviews Modernize UIKit codebases with safe, incremental migrations Integrate Apple Foundation Models for private on device AI Build MCP servers in Swift to power feature focused agents Write RFCs and ADRs to govern AI adoption in iOS teams Plan continuous modernization roadmaps for iOS teams

Who this book is forThis book is for intermediate to senior Swift developers who build and maintain iOS apps and want to adopt AI tools without sacrificing quality. If you are responsible for architecture, testing strategy, or modernization roadmaps, you will learn patterns that scale from a single feature to a full team workflow. Familiarity with Swift and Xcode is recommended.
Table of Contents

Getting Started with Xcode 26 and AI-Enhanced Development
Swift Concurrency Through AI-Assisted Dialog
SwiftUI, iOS 26 Innovations, and AI-Enhanced Development
Test-Driven Development with AI and Claude Code
AI-Powered Code Architecture and Legacy System Modernization
Local Foundation Models and On-Device AI Integration
Model Context Protocol in Practice: Feature Agents for Your App
AI-Assisted Reviews, RFCs, and Governance
Agentic Development in Xcode
Walid SASSI began his iOS journey in 2011 while teaching distributed systems at the University of Carthage in Tunisia. Discovering the iPhone SDK sparked a growing interest that quickly became a professional focus. For nearly a decade, he combined academia with hands-on development, teaching computer science while working as an independent iOS developer. He built apps, mastered Swift and UIKit, and developed strong expertise in software architecture. Today, he is particularly interested in AI-assisted development and how it enhances productivity while maintaining solid engineering practices. Dave Poirier has 25+ years of software development experience, with over a decade specializing in iOS. His path from Assembly and C to modern Swift gives him a unique perspective on performance optimizationcentral to this book's technical foundation. Known for digging into complex problems and surfacing root causes, Dave shaped the AI integration patterns throughout. His range from low-level system programming to high-level iOS architecture uniquely qualifies him to bridge performance with AI-assisted development. As co-author, Dave ensured correctness and genuine efficiency in every code example. His self-taught approach and curiosity about emerging tech help keep this book relevant as Swift and AI continue to evolve.