# Product Requirements Document
## Project Overview
**Project Name**: {{projectName}}
**Technology Stack**: {{technology}}
**Core Concept**: {{description}}
{{additionalContext}}
## AI Instructions for PRD Enhancement
**IMPORTANT**: This PRD is intentionally basic. When implementing this project, you should:
1. **Expand the Core Concept**: Develop detailed functional requirements from the basic description above
2. **Define User Stories**: Create specific use cases and user interaction patterns
3. **Specify Tools and Resources**: Determine what MCP tools and resources are needed
4. **Plan Data Models**: Design any data structures or state management needed
5. **Detail Error Scenarios**: Consider edge cases and error handling requirements
6. **Design API Contracts**: Define tool schemas and response formats
**Your Task**: Use your AI knowledge to transform the basic concept into a comprehensive, implementable specification.
## Objectives
- Create a professional, maintainable {{technology}} application
- Follow industry best practices and coding standards
- Implement comprehensive testing and documentation
- Ensure scalability and performance optimization
## Technical Requirements
### Core Technology
- **Primary Language/Framework**: {{technology}}
- **Development Approach**: AI-assisted development with best practices
- **Code Quality**: Type safety, error handling, and comprehensive testing
### Architecture Principles
- Clean architecture with separation of concerns
- Domain-driven design where applicable
- Dependency injection and inversion of control
- Immutable data structures and functional programming patterns
## Implementation Plan
### Phase 1: Foundation
- Set up project structure and build system
- Configure linting, formatting, and type checking
- Implement basic error handling and logging
- Create initial test framework
### Phase 2: Core Features
- Implement main business logic
- Add comprehensive input validation
- Create robust error handling
- Write unit and integration tests
### Phase 3: Polish & Optimization
- Performance optimization and profiling
- Documentation and API documentation
- Security review and hardening
- Final testing and quality assurance
## Success Metrics
- **Code Quality**: 100% type coverage, comprehensive error handling
- **Testing**: >90% code coverage with meaningful tests
- **Performance**: Meets performance benchmarks for target use case
- **Maintainability**: Clear documentation and readable code
- **Security**: No security vulnerabilities or exposed secrets
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## Generated Context
This PRD was generated automatically by the MCP Project Initializer.
Project files and development rules have been set up according to best practices.
Refer to `.windsurf/rules/` for detailed development guidelines.
