1000x Cursor workflow for building apps

---

---

AI Summary

Summary of Video Transcript: Building an iOS App with AI Assistants

Introduction

• AI coding platforms like Cursor and Wind Surf have gained popularity for building applications.
• Challenges exist when using these platforms for iOS development due to the need for Xcode and the lack of AI knowledge about frameworks like React Native and Expo.
• The video presents new workflows and tips to simplify iOS development.

Workflow for iOS Development with AI

• Install Sweet Pad, a VS Code extension, to bring Xcode functionality into VS Code.
• Install Xcode Build Server (XB Server) for advanced code navigation and autocomplete features.
• Install iOS Deploy to run terminal commands for installing mobile apps on iOS devices or simulators.
• Install XCBeautify to make Xcode output easier to read in VS Code.
• Install SwiftFormat for automatic Swift code formatting.
• Install Swift language support in the IDE.

Creating a New Project

• Open Xcode, create a new project, and name it (e.g., SE Food).
• Open the project in the AI IDE and generate a build server configuration.
• Run the project and open the iPhone simulator.
• Use GitHub Desktop to add the Xcode project to version control.

Building the App

• The app, called Cal AI, allows users to take a picture of food and analyze calorie intake using a multimodal large language model.
• The app is inspired by a successful app built by a 17-year-old student generating significant revenue.

Setting Up the Project

• Modify the info.plist file in Xcode to manage device permissions.
• Create cursor.rules to provide context and rules for the AI assistant.
• Create an instructions folder with a detailed instruction.md file outlining project requirements.
• Use a large language model to generate product requirement documents (PRD) and structure them with project overview, feature requirements, data models, and API contracts.

Building the App with AI Assistance

• Use the AI IDE to implement features step by step, starting with capturing food images.
• Commit changes to GitHub as features are implemented.
• Address any build errors or issues with the help of AI-generated debug information.
• Implement additional features such as analyzing food, editing results, and viewing history.
• Ensure the app saves logs correctly and displays them in the history view.

Conclusion

• The video demonstrates a workflow for iOS development using AI assistants.
• The creator mentions the AI Builder Club community for further learning and support.
• Viewers are encouraged to like, subscribe, and join the community for more content on AI-assisted development.

Detailed Instructions and Commands

• Install Sweet Pad: Open Cursor, click on the extension button, search for Sweet Pad, and install it.
• Install Xcode Build Server: Run brew install xcode-build-server in the terminal.
• Install iOS Deploy: Run brew install ios-deploy in the terminal.
• Install XCBeautify: Run brew install xcbeautify in the terminal.
• Install SwiftFormat: Run brew install swiftformat in the terminal.
• Install Swift language support: Search for it in the extensions and install it.
• Generate build server configuration: Use the command SweetPad: Generate Build Server Config in the AI IDE.
• Use GitHub Desktop to add the Xcode project to version control.
• Modify info.plist in Xcode to manage device permissions.
• Create cursor.rules and instruction.md files for project-specific rules and detailed requirements.
• Use large language models to generate PRD and structure it appropriately.
• Commit changes to GitHub as features are implemented.
• Address build errors with AI-generated debug information.
• Ensure the app saves logs correctly and displays them in the history view.