Leanpub Header

Skip to main content

Filters

Category: "Swift"

Swift

  1. Exploring Security Risks and Protections in iOS

    Think iOS is unbreakable? This book uncovers vulnerabilities that even Apple doesn’t want you to know about!

  2. Building macOS Applications with Swift
    Building macOS Applications with Swift
    From First Program to Production Application
    Steve Publications

    Whether you are opening Xcode for the first time or ready to ship a polished desktop app, this book guides you through every step. Learn Swift with practical projects, understand how macOS apps are built and gain the skills to create software that is ready for real users and the Mac App Store.

  3. iOS Development with Swift 6
    iOS Development with Swift 6
    Building Scalable, Maintainable Applications on iOS 27 and the Modern Apple Platform
    Steve Publications

    Swift 6, iOS 27, and Apple's rapidly evolving ecosystem are reshaping how modern applications are built. iOS Development with Swift 6 is a practical guide for experienced iOS engineers, covering scalable architecture, concurrency, modularization, testing, security, AI integration, and the engineering trade-offs behind production-ready applications that can evolve for years to come.

  4. Building Mobile Apps with Claude Code in 2026
    Building Mobile Apps with Claude Code in 2026
    A Complete Guide for Vibe-Coders: From Zero to App Store
    Muhammad Sohaib Roomi

    Build four real mobile apps from scratch — no coding experience required. Claude Code handles the code. You handle the idea.

  5. The iOS Interview Blueprint: Elite Edition (2026) , From Junior to Engineering Manager

    Most iOS interview books teach you the answer. This one shows you what a senior sounds like giving it: three versions of every answer, candidate, senior, and staff, side by side, so you can see the gap between correct and hired. 178 questions across six career levels, each with the follow-up that decides it and the red flag that ends the loop.

  6. Migrating Production Apps to Kotlin Multiplatform and Compose Multiplatform
    Migrating Production Apps to Kotlin Multiplatform and Compose Multiplatform
    An Operational Guide for Migrating Existing Production Android and iOS Apps to Kotlin Multiplatform and Compose Multiplatform
    Anubhav Savant

    Migrate existing, high-traffic production Android and iOS applications to Kotlin Multiplatform (KMP) and Compose Multiplatform (CMP) systematically—without pausing feature development or compromising release stability.

  7. Shipping AI Apps to the App Store

    Master the "Last Mile" of AI engineering to ship world-class apps to the App Store. Optimize the Neural Engine, manage thermal limits, and conquer the Jetsam mechanism. Navigate iOS 18 privacy manifests and implement premium monetization with StoreKit 2. Transform stochastic AI models into deterministic, compliant, and highly profitable products.

  8. CoreData, CloudKit & Vector Search

    Build a "Second Brain" for your apps by mastering SwiftData, CloudKit synchronization, and persistent AI memory. Implement hardware-accelerated vector search and HNSW indexing for lightning-fast retrieval of semantic embeddings. Architect thread-safe, GDPR-compliant data layers using Swift 6 actors and advanced privacy-preserving strategies. Scale from local prototypes to production-grade distributed intelligence with definitive Apple ecosystem blueprints

  9. Swift + OpenAI & LangChain
    Swift + OpenAI & LangChain
    Integrating external LLM APIs, RAG pipelines, and agentic workflows in iOS and macOS apps
    Edgar Milvus

    Master AI integration on Apple platforms by bridging Swift 6 with OpenAI, LangChain, and autonomous agents. Build high-performance RAG pipelines using hardware-accelerated vector math and persistent local semantic memory. Architect thread-safe, real-time apps with strict concurrency, intelligent function calling, and efficient token streaming. Move from basic API calls to production-grade intelligence with the definitive guide for modern Apple developers.

  10. visionOS & Spatial AI with Swift

    Master the definitive fusion of Swift 6 and Spatial AI to architect the future of visionOS. Leverage LiDAR, Core ML, and real-time hand tracking to build apps that truly understand reality. From persistent world-locking to RealityKit ECS, implement the blueprints of professional 3D engineering. Go beyond basic windows—design immersive, intelligent experiences ready for the visionOS App Store.

  11. MLX Swift & Local LLMs. Deep dive into Apple's MLX framework for high-performance machine learning.
    MLX Swift & Local LLMs. Deep dive into Apple's MLX framework for high-performance machine learning.
    Building custom inference engines, fine-tuning local models (LoRA), and leveraging Unified Memory directly from Swift.
    Edgar Milvus

    Transform your Apple devices into AI powerhouses with native MLX Swift and local LLMs. Master "Metal-to-Model" workflows, leveraging unified memory for lightning-fast, zero-copy inference. Implement LoRA fine-tuning, 4-bit quantization, and real-time streaming for a superior user experience. Build the next generation of privacy-centric, offline-first AI applications directly in Swift 6.

  12. Create ML Studio. Training custom models without Python: tabular, image, sound, and motion classifiers using Create ML in Swift.

    Unlock the power of custom Machine Learning on Apple platforms without a single line of Python. Master Create ML Studio to train bespoke Image, Sound, and Motion classifiers entirely in Swift. Leverage Swift 6 concurrency and advanced MLOps to automate retraining and ensure model quality. Stop relying on generic AI—build and deploy your own native, private intelligence today!

  13. SwiftUI for AI Apps. Building reactive, intelligent interfaces that respond to model outputs, stream tokens, and visualize AI predictions in real time

    Stop building static interfaces for dynamic AI and master the art of reactive, intelligent design.Leverage Swift 6 concurrency and @Observable to handle real-time token streaming and async outputs.From SwiftData persistence to animated visualizations, learn to architect production-ready Apple apps.The ultimate guide to building fluid, professional user experiences powered by modern AI models.

  14. Natural Language & Speech. NLP, sentiment analysis, text classification, and Speech-to-Text with Apple's Natural Language and Speech frameworks.

    Master the art of on-device speech and natural language processing using Swift 6. Implement real-time transcription, custom text classification, and intelligent semantic search. Leverage Apple’s design philosophy to build high-performance, privacy-first AI applications. Elevate your professional development skills with this comprehensive guide to Apple’s AI stack.

  15. Apple Intelligence & Foundation Models. Building apps with Apple's on-device LLM APIs, Writing Tools, and the Apple Intelligence framework

    Mastering Swift 6 is the key to unlocking Apple Intelligence in the new iOS 18 and macOS 15 era. From on-device LLMs to Private Cloud Compute, architect intelligent features that prioritize user privacy and speed. Integrate Writing Tools, App Intents, and On-Screen Awareness using robust Swift 6 Actors and asynchronous patterns. Transform your applications into context-aware assistants and lead the generative AI revolution on Apple platforms.