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Master the complete pipeline of modern mobile software delivery, automated deployment, and AI-driven app monetization!

Transitioning a mobile application from a local development environment (npm start) to a live product on the Apple App Store and Google Play Store requires far more than basic coding skills. It demands a robust, production-grade cloud delivery system. App Store Engineering for Mobile AI Applications is the comprehensive guide to building, automating, and scaling production-ready mobile apps using Expo Application Services (EAS), React Native, Next.js Edge Runtimes, and Generative AI.

What’s Inside This Comprehensive Guide:

Cloud Orchestration with EAS: Set up immutable build environments, automated code-signing, dynamic build profiles, and seamless App Store submissions.
Instant Over-The-Air (OTA) Updates: Learn how to deploy JavaScript patches, manage multi-channel rollouts, and execute instant rollbacks without waiting for store reviews.
Automated Testing & AI Triage: Run end-to-end mobile tests with Maestro and Detox, utilizing AI-driven log analysis to detect and fix flakiness in CI/CD pipelines.
Production Telemetry & Observability: Implement Sentry for native symbolication/crash reporting and PostHog for AI model telemetry (latency, token costs, and user sentiment).
AI-Driven App Store Optimization (ASO): Build automated pipelines using GPT-4, DALL-E 3, and Vector Databases (Pinecone) to generate high-converting localized copy and pixel-perfect screenshots.
RevenueCat & AI Paywall Architecture: Gate AI features securely using server-side receipt validation, dynamic pricing strategies, and JWT entitlement verification.
Compliance, Tax, & Rejections: Navigate Apple/Google commission brackets, global VAT/GST compliance, Privacy Manifests, and automated rejection appeal workflows.

Who Is This Book For?

Designed for React Native developers, full-stack TypeScript engineers, and AI SaaS builders who want to automate release workflows, secure revenue streams, and maintain enterprise-grade app stability.

Stop guessing your app deployment strategy. Build a continuous, automated, and highly profitable App Store engineering pipeline today!

Table of contents

Chapter 1: Introduction to EAS (Expo Application Services)

Chapter 2: Configuring EAS Build for iOS and Android

Chapter 3: Managing Secrets & Environment Variables

Chapter 4: Automated Testing with Detox/Maestro

Chapter 5: Submitting to TestFlight & Internal Testing

Chapter 6: Over-The-Air (OTA) Updates with EAS Update

Chapter 7: Versioning Strategies

Chapter 8: Crash Reporting (Sentry for Mobile)

Chapter 9: Analytics for AI Features (PostHog Mobile)

Chapter 10: Performance Monitoring in Production

Chapter 11: Generating App Store Screenshots with AI

Chapter 12: Writing SEO-Optimized Descriptions using GPT

Chapter 13: Localizing Store Listings Automatically

Chapter 14: Analyzing User Reviews with Sentiment Analysis

Chapter 15: Handling App Store Rejections

Chapter 16: RevenueCat Integration (In-App Purchases)

Chapter 17: Implementing Paywalls for AI Features

Chapter 18: Apple/Google Tax Compliance

Chapter 19: Marketing your Mobile AI App

Chapter 20: Final Capstone - From `npm start` to The App Store

If printed, this ebook would span over 350 pages. Each chapter is structured into theoretical foundations, an annotated basic example, an annotated advanced example, and five coding exercises based on real-world scenarios with complete solutions.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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