Complete Guide: Build an iOS App with AI from Scratch and Publish It on the App Store

A complete guide to building and publishing an iOS app on the App Store using AI tools with zero coding experience.
This article covers how developers with zero programming experience can build and publish an iOS app on the international App Store using AI coding tools. The process includes: preparing three essential items (Mac, iPhone, and a developer account); using AI as a product manager to define requirements documents; and generating code with AI tools like Cursor while iteratively debugging in Xcode. The key reasons for targeting international markets are shorter review cycles (1-3 days), no domestic filing requirements, and stronger user willingness to pay.
In an Era of Increasingly Mature AI Coding Tools
With AI coding tools becoming increasingly mature, the barrier to independently developing an app has dropped significantly. This article systematically walks through the complete process of building and publishing an app on Apple's App Store from scratch using AI tools — even if you have zero programming experience, you can follow along step by step.
Why Publish Your App in International Markets?
Many people's first question is: why not target the domestic (Chinese) market? The answer is straightforward — efficiency.
Publishing on the App Store for international markets doesn't require going through China's cumbersome filing and approval processes, which is especially important in the AI era. When you use AI to quickly generate a product prototype, the last thing you want is a lengthy administrative process eating up your time window.
Understanding the regulatory differences behind this helps you make clearer decisions: in China, iOS apps not only need to pass Apple's review but also require ICP filing with the Ministry of Industry and Information Technology. Some apps involving specific features (such as maps, payments, or healthcare) need additional industry licenses. This process typically takes weeks or even months, making costs extremely high for fast-iterating indie developers. In contrast, Apple's App Store global review cycle usually takes only 1-3 business days, dramatically shortening the window from idea to market validation. International markets allow you to quickly validate ideas and focus your energy on the product itself.
Additionally, overseas users generally have a stronger willingness to pay. Whether it's subscriptions, one-time purchases, or in-app purchases, monetization paths are much more mature.
Step 1: Prepare Three Essential Pieces of Hardware for iOS Development
There are three things you absolutely need for iOS development:
- A Mac computer: This is the foundation of iOS development because Xcode only runs on macOS
- A physical iPhone: For actually testing your app — the simulator cannot fully replace the real device experience
- An Apple Developer account: Register on the Apple Developer website, annual fee of $99 USD (approximately 700 RMB), allowing unlimited app submissions within a year

These three items are a one-time investment (except the Mac; the developer account requires annual renewal), and the barrier isn't particularly high. The developer account especially — 700 RMB for a year of unlimited publishing is quite cost-effective.
Step 2: Let AI Be Your Product Manager
Note that step two is not writing code — it's defining requirements.
Tell your product idea directly to AI models like Doubao, ChatGPT, or Claude, and let them act as your product manager. Through multiple rounds of conversation, have AI help you complete two critical documents:
- Product Requirements Document (PRD): Clearly define what your app does, what the core features are, and what user scenarios it addresses
- Technical Document: Recommend suitable technical frameworks, architecture solutions, and third-party libraries
Here's a very practical tip: when you encounter technical jargon you don't understand, just ask AI to explain it in plain language. You can say "I'm a complete beginner, please explain this in the simplest possible terms," and AI will automatically adjust its communication style.
The quality of your requirements document directly determines how effective the subsequent AI coding will be. The more time you spend on this step, the fewer pitfalls you'll encounter later.
Step 3: Generate Code with AI Coding Tools
Setting Up the Xcode Development Environment
First, download and install Xcode on your Mac. This is Apple's official Integrated Development Environment (IDE), combining a code editor, compiler, debugger, and simulator all in one. iOS development primarily uses Swift, a modern programming language Apple introduced in 2014. Xcode only runs on macOS — this reflects Apple's closed ecosystem design and is the fundamental reason why iOS development requires a Mac. It's worth mentioning that Xcode's live preview feature (SwiftUI Preview) lets you instantly see interface changes without running the full app, greatly improving collaboration efficiency with AI during debugging. If your Mac's system version is older, you can find corresponding older versions of Xcode on the Apple Developer website.

Generate Code with Cursor/Trae/Claude Code
Next, open AI coding tools like Cursor, Trae, or Claude Code, feed them the requirements and technical documents you prepared in step two, and AI can directly generate code for you.
The core principle behind these tools is deep integration of Large Language Models (LLMs) with code editors — they understand your entire project's code structure through a "context window," not just individual files. Cursor is a deep modification of VS Code that supports using the entire codebase as context; Claude Code is a command-line tool from Anthropic that excels at complex multi-file refactoring; Trae is ByteDance's AI IDE designed for Chinese-speaking developers. All three are essentially a closed loop of "code generation + conversational modification" — you describe requirements in natural language, and AI generates or modifies the corresponding code.
The key workflow in practice is:
- Provide the requirements document as context to the AI coding tool
- After AI generates initial code, compile and run it in Xcode
- Connect your physical iPhone to preview the results in real-time
- When you find issues, tell AI in natural language what needs to be changed
- Iterate repeatedly until you reach launch-ready quality
This step requires tremendous patience. Code debugging is the most time-consuming part of the entire process and may require dozens or even hundreds of rounds of conversation with AI. But the good news is that you don't need to truly understand every line of code — you just need to clearly describe "what's wrong and what effect you want."
Related articles
TutorialsChatGPT Plus Subscription Guide: Are GPT-5.5, image-2, and Codex Worth the Upgrade?
A detailed look at ChatGPT Plus features — GPT-5.5, image-2, and Codex — with a Plus vs Pro comparison and a complete step-by-step subscription guide for users outside the US.
TutorialsHarness AI Engineering in Practice: Using Claude Code to Master Enterprise-Level E-Commerce Development
Deep dive into Harness AI Engineering: master enterprise e-commerce development with Claude Code using the Rules, Skills, Wiki, and Changes framework.
TutorialsCursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.