Managing Code Complexity and Documentation in AI-Assisted Development with Cursor
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Summary
A developer describes losing track of their codebase structure after rapid development using Cursor AI for code generation. They seek advice on understanding code flow, visualizing application structure, and maintaining better control over AI-assisted development while still learning from the process.
Prompt
Generate a comprehensive documentation structure for my application that includes: 1. A visualization or description of the data flow between different components 2. Mapping of UI elements to their corresponding function calls 3. Key data structures and their relationships 4. Main function dependencies and call hierarchies The documentation should help developers understand: - What happens when specific UI elements are interacted with - How data flows through the system - Which functions are responsible for specific features - Where key data structures are used and modified
Best Practices
Regular Code Documentation
Maintain comprehensive documentation of code structure and flow even when using AI assistance
Incremental Architecture Review
Regularly review and document architectural decisions and data flow
Code Flow Documentation
Document user interaction flows and their corresponding function calls
Common Mistakes to Avoid
Avoid Blind AI-Generated Code Acceptance
Don't implement AI-generated code without understanding its structure and purpose
Prevent Undocumented Rapid Changes
Avoid rapid implementation of features without proper documentation and understanding
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