Effective Cursor AI Usage: Best Practices for Large React Projects with Proper Context Management
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Summary
A developer shares their successful experience using Cursor AI in a large React monorepo, emphasizing the importance of proper context and documentation. The post details a systematic approach to working with Cursor, including custom rules, documentation practices, and interaction patterns that enable the AI to handle 95% of coding tasks effectively.
Prompt
Create a comprehensive .cursorrules configuration for a React monorepo that includes: 1. Technical stack details: - React framework specifics - Code style preferences - Folder structure conventions 2. Documentation requirements: - File-level documentation format - Feature requirement documentation structure - TODO comment conventions 3. Development workflow preferences: - Code generation approach - Testing requirements - Error handling conventions Please provide the configuration in a format that can be directly used in a .cursorrules file, with explanatory comments for each section.
Best Practices
Comprehensive Feature Documentation
Create markdown files for each large feature with functional requirements before implementation
Interactive Requirement Gathering
Prompt AI to ask questions and engage in dialogue to flesh out requirements
File-Level Documentation
Add explanatory comments at the top of each file describing its purpose and key decisions
Common Mistakes to Avoid
Avoid Over-Engineering
Don't let Cursor implement complex solutions by default without proper planning
Don't Skip Context Setup
Avoid using Cursor without proper context and rules configuration
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