Best Practices for Building iOS Apps with Cursor AI: TaskNavi Case Study
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Summary
A developer shares their experience building and updating TaskNavi, an iOS task management app, using Cursor AI as their primary development tool. The post outlines key lessons learned and best practices for effectively working with AI-assisted development, including the importance of using Product Requirements Documents (PRD) and following the KISS principle when making requests to the AI agent.
Prompt
Review the entire codebase and ensure full understanding of the code structure and setup. Update the application to implement multiple category selection functionality for tasks with the following requirements: 1. Users should be able to select categories when creating a task 2. Multiple category selection should be supported 3. Selected categories should be displayed in the main task list 4. Implementation should follow KISS principle 5. Avoid breaking changes to existing functionality Maintain current application architecture and ensure backward compatibility.
Best Practices
Use Composer Agent Instead of Chat
Utilize Cursor's Agent in Composer mode rather than Chat mode for better request understanding and code modifications
Include PRD with AI Requests
Create and provide a Product Requirements Document with all AI requests
Enforce KISS Principle
Explicitly instruct the AI to follow the Keep It Simple Stupid principle
Request Codebase Review
Ask the AI to review and understand the entire codebase before making changes
Common Mistakes to Avoid
Avoid Direct Chat Mode for Code Changes
Don't use Cursor's Chat mode for code modifications
Don't Skip PRD Creation
Avoid making AI requests without proper documentation and requirements
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