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This comprehensive update transforms Job Forge from a generic MVP concept to a production-ready Python/FastAPI web application prototype with complete documentation, testing infrastructure, and deployment procedures. ## 🏗️ Architecture Changes - Updated all documentation to reflect Python/FastAPI + Dash + PostgreSQL stack - Transformed from MVP concept to deployable web application prototype - Added comprehensive multi-tenant architecture with Row Level Security (RLS) - Integrated Claude API and OpenAI API for AI-powered document generation ## 📚 Documentation Overhaul - **CLAUDE.md**: Complete rewrite as project orchestrator for 4 specialized agents - **README.md**: New centralized documentation hub with organized navigation - **API Specification**: Updated with comprehensive FastAPI endpoint documentation - **Database Design**: Enhanced schema with RLS policies and performance optimization - **Architecture Guide**: Transformed to web application focus with deployment strategy ## 🏗️ New Documentation Structure - **docs/development/**: Python/FastAPI coding standards and development guidelines - **docs/infrastructure/**: Docker setup and server deployment procedures - **docs/testing/**: Comprehensive QA procedures with pytest integration - **docs/ai/**: AI prompt templates and examples (preserved from original) ## 🎯 Team Structure Updates - **.claude/agents/**: 4 new Python/FastAPI specialized agents - simplified_technical_lead.md: Architecture and technical guidance - fullstack_developer.md: FastAPI backend + Dash frontend implementation - simplified_qa.md: pytest testing and quality assurance - simplified_devops.md: Docker deployment and server infrastructure ## 🧪 Testing Infrastructure - **pytest.ini**: Complete pytest configuration with coverage requirements - **tests/conftest.py**: Comprehensive test fixtures and database setup - **tests/unit/**: Example unit tests for auth and application services - **tests/integration/**: API integration test examples - Support for async testing, AI service mocking, and database testing ## 🧹 Cleanup - Removed 9 duplicate/outdated documentation files - Eliminated conflicting technology references (Node.js/TypeScript) - Consolidated overlapping content into comprehensive guides - Cleaned up project structure for professional development workflow ## 🚀 Production Ready Features - Docker containerization for development and production - Server deployment procedures for prototype hosting - Security best practices with JWT authentication and RLS - Performance optimization with database indexing and caching - Comprehensive testing strategy with quality gates This update establishes Job Forge as a professional Python/FastAPI web application prototype ready for development and deployment. 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Job Forge - AI-Powered Job Application Assistant
Job Forge is a Python/FastAPI web application prototype that leverages AI to streamline the job application process through automated document generation, application tracking, and intelligent job matching.
🚀 Quick Start
# Clone the repository
git clone https://github.com/yourusername/job-forge.git
cd job-forge
# Start development environment
docker-compose up -d
# Access the application
open http://localhost:8000
📚 Documentation Navigation
🏗️ Architecture & Planning
- System Architecture - Complete system overview and component breakdown
- API Specification - Comprehensive API endpoints and examples
- Database Design - Schema design with RLS policies and performance optimization
- MVP Checklist - Development progress tracking
🛠️ Development
- Development Setup - Environment setup and configuration
- Getting Started Guide - Week-by-week implementation roadmap
- Coding Standards - Python/FastAPI best practices
- Implementation Patterns - Code templates and examples
🧪 Testing & Quality
- Testing Strategy - Comprehensive testing approach with pytest
- QA Procedures - Quality assurance workflows
- Manual Testing - User workflow validation procedures
🚢 Deployment & Infrastructure
- Server Deployment - Direct server deployment procedures
- Docker Setup - Containerization and orchestration
- Environment Configuration - Production environment setup
- Monitoring & Logging - Observability and alerting
🔒 Security & Operations
- Security Guidelines - Production security measures
- Backup Procedures - Data backup and recovery
- Git Workflow - Branching strategy and collaboration
🤖 AI Integration
- AI Services Setup - Claude and OpenAI API integration
- Document Generation - Automated resume and cover letter creation
- Job Matching - AI-powered job recommendation system
🏛️ Technology Stack
Backend
- FastAPI - Modern Python web framework
- PostgreSQL 16 - Database with pgvector for AI embeddings
- SQLAlchemy - ORM with async support
- Alembic - Database migrations
- Pydantic - Data validation and serialization
Frontend
- Dash - Interactive web applications
- Mantine Components - Modern UI component library
- Plotly - Data visualization
- Bootstrap - Responsive design framework
AI & ML
- Claude API - Document generation and analysis
- OpenAI API - Embeddings and completions
- pgvector - Vector similarity search
- Sentence Transformers - Text embeddings
Development & Deployment
- Docker - Containerization
- Docker Compose - Development orchestration
- pytest - Testing framework
- Black - Code formatting
- Ruff - Fast Python linter
🎯 Core Features
✨ AI Document Generation
- Automated cover letter creation based on job descriptions
- Resume optimization and tailoring
- Professional formatting and styling
- Multiple export formats (PDF, DOCX)
📊 Application Tracking
- Comprehensive job application management
- Application status tracking and timeline
- Interview scheduling and notes
- Follow-up reminders and notifications
🔍 Job Matching
- AI-powered job recommendation system
- Skills gap analysis and suggestions
- Salary insights and market data
- Company culture and fit analysis
👥 Multi-User Support
- Secure user authentication and authorization
- Data isolation with PostgreSQL RLS
- User profile and preference management
- Team collaboration features
🏃 Development Workflow
- Planning Phase - Technical Lead defines architecture and specifications
- Implementation Phase - Full-Stack Developer builds features
- Quality Assurance - QA Engineer validates and tests
- Deployment Phase - DevOps Engineer handles deployment
📋 Project Status
- Project architecture and database design
- Development environment setup
- API specification and documentation
- Core backend API implementation
- Frontend Dash application
- AI service integrations
- Testing suite implementation
- Production deployment
🤝 Team & Agents
Job Forge uses specialized AI agents for development:
- Technical Lead - Architecture decisions and technical guidance
- Full-Stack Developer - FastAPI backend and Dash frontend implementation
- QA Engineer - pytest testing and quality assurance
- DevOps Engineer - Docker deployment and server infrastructure
See CLAUDE.md for complete team orchestration documentation.
📖 Documentation Categories
📚 Getting Started
Perfect for new developers joining the project:
🔧 Implementation
For active development work:
🧪 Quality Assurance
For testing and validation:
🚀 Deployment
For production deployment:
🛡️ Security
Job Forge implements comprehensive security measures:
- Authentication: Secure user authentication with JWT tokens
- Authorization: Role-based access control (RBAC)
- Data Isolation: PostgreSQL Row Level Security (RLS)
- API Security: Rate limiting and input validation
- Encryption: Data encryption at rest and in transit
📈 Performance
Optimized for performance and scalability:
- Database: Optimized queries with proper indexing
- API: Async FastAPI for high concurrency
- Caching: Redis for session and API response caching
- CDN: Static asset delivery optimization
- Monitoring: Application and infrastructure monitoring
🧪 Testing
Comprehensive testing strategy:
- Unit Tests: 80%+ coverage with pytest
- Integration Tests: API and database testing
- End-to-End Tests: User workflow validation
- Performance Tests: Load and stress testing
- Security Tests: Vulnerability scanning and validation
📊 Monitoring & Analytics
Built-in observability:
- Application Monitoring: Error tracking and performance metrics
- Infrastructure Monitoring: Server and database health
- User Analytics: Feature usage and user behavior
- Security Monitoring: Threat detection and response
🤖 AI Integration
Seamless AI service integration:
- Claude API: Advanced document generation and analysis
- OpenAI API: Embeddings and text completions
- Vector Search: Semantic job matching with pgvector
- Error Handling: Robust fallback and retry mechanisms
📱 User Experience
Modern and intuitive interface:
- Responsive Design: Mobile-first responsive layout
- Interactive Components: Rich Dash components with Mantine
- Real-time Updates: Live status updates and notifications
- Accessible: WCAG 2.1 AA compliance
- Performance: Fast loading and smooth interactions
🔧 Development Tools
Optimized development experience:
- Hot Reload: Real-time code changes with Docker
- Code Quality: Black formatting and Ruff linting
- Type Safety: Full type hints with mypy validation
- Debugging: Comprehensive logging and debugging tools
- Testing: Fast test execution with pytest
📞 Support & Contributing
- Issues: Report bugs and request features via GitHub Issues
- Documentation: Comprehensive documentation in
docs/folder - Code Style: Follow established Python/FastAPI best practices
- Testing: Maintain test coverage above 80%
- Reviews: All changes require code review and testing
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Ready to start building? 🚀
- Follow the Development Setup guide
- Check the Getting Started roadmap
- Review the API Specification
- Start with the MVP Checklist
For team coordination and agent management, see CLAUDE.md.