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## Coding Style

- Use TypeScript for all new JavaScript files
- Prefer functional components with hooks over class components
- Use Tailwind CSS for styling, avoid inline styles
- Always include TypeScript types for function parameters and return values

## API Error Handling

When creating API endpoints, always use this error handling pattern:

```javascript
app.get('/api/users', async (req, res) => {
  try {
    const users = await getUsersFromDatabase();
    res.json({ success: true, data: users });
  } catch (error) {
    console.error('Error fetching users:', error);
    res.status(500).json({ 
      success: false, 
      error: 'Failed to fetch users' 
    });
  }
});

## Communication Style

- Before implementing changes, explain what you're going to do and why
- Break down complex tasks into clear steps
- Ask for clarification if requirements are unclear
- Provide brief explanations for technical decisions

## Project Context

This is a social media app for book lovers where users can:
- Create reading lists and share book recommendations
- Follow other readers and see their updates
- Rate and review books they've read

Target audience: Casual readers aged 25-45
Tech stack: React frontend, Node.js backend, PostgreSQL database

# MyApp Project Guidelines

## Project Overview
A task management web application built with React and Express.js.

## Technology Preferences
- Frontend: React with TypeScript, Tailwind CSS
- Backend: Express.js with TypeScript
- Database: Neon PostgreSQL with Drizzle ORM
- Package Manager: npm (not yarn or pnpm)

## Coding Standards
- Use functional components with hooks
- Implement proper error boundaries
- Follow REST API conventions for endpoints
- Use descriptive variable and function names

## Communication Style
- Explain your approach before making changes
- Provide code comments for complex logic
- Ask questions if requirements are ambiguous

# Data Analysis Project Guidelines

## Project Context
Analyzing customer behavior data to identify trends and insights.

## Technology Preferences
- Python with Streamlit for interactive web applications
- pandas, numpy, and matplotlib for data analysis

## Analysis Standards
- Include clear documentation for all analysis steps
- Create interactive visualizations with Streamlit components
- Validate data quality before analysis
- Export results to CSV format and display in Streamlit tables

## Communication Style
- Explain statistical methods and assumptions
- Provide context for findings and recommendations
- Use clear, non-technical language for business insights
- Create interactive dashboards for stakeholder presentations

# API Development Guidelines

## Project Overview
Building a RESTful API for a mobile app backend.

## Technology Stack
- Node.js with Express.js
- MongoDB with Mongoose
- JWT for authentication
- Package manager: npm

## API Standards
- Use semantic HTTP status codes
- Implement proper input validation
- Include rate limiting on public endpoints
- Follow OpenAPI specification for documentation

## Security Requirements
- Validate all user inputs
- Use environment variables for sensitive data
- Implement proper CORS policies
- Include request logging for debugging

## Testing Approach
- Write unit tests for all endpoints
- Include integration tests for critical flows
- Use Jest as the testing framework

## Current Development Phase
The team is currently focused on implementing user authentication.
Priority features:
1. User registration and login
2. Password reset functionality  
3. Email verification

## Recent Decisions
- Switched from local authentication to OAuth with Google
- Added Redux for state management
- Decided to use Material-UI for consistent styling

## External Resources
- Design system: Follow the Figma design system at [link]
- API documentation: Reference our internal API docs
- Coding standards: Follow the team style guide in our wiki

## Deployment Process
- Test changes in development environment first
- Use the CI/CD pipeline for staging deployments
- Require code review before production releases

## Research Preferences
- Always check for the latest versions of dependencies before suggesting updates
- Research current best practices for security implementations
- Look up recent performance optimization techniques for our tech stack

## External Research Guidelines
- When suggesting new libraries, ensure compatibility with our existing stack
- Adapt external examples to match our coding standards and project structure  
- Verify that suggested solutions work with our deployment environment