Explanation¶
This section provides background information, design decisions, and the rationale behind key features of the Real Estate Investor application.
Architecture and Design¶
- Architecture Overview — System design and component organization
- Technology Choices — Why Django, PostgreSQL, and Python were selected
- Data Model Design — Entity relationships and database schema decisions
- Financial Calculation Philosophy — Approach to KPI calculations and precision
Development Practices¶
- Testing Strategy — Unit, integration, and BDD test approach
- Code Quality Standards — Linting, formatting, and type checking rationale
- DORA Metrics — DevOps performance measurement and continuous improvement
Domain Knowledge¶
- Real Estate Investment Fundamentals — Understanding property investing
- KPI Selection Rationale — Why these specific metrics matter
- Risk Factors — Understanding investment risks and limitations
Project Evolution¶
- Roadmap — Future features and enhancements
- Migration from Legacy Scraper — Transition approach and rationale
- MVP Scope — What's included in the minimum viable product
Contributing¶
- Contributing Guidelines — How to contribute to the project
- Code Review Process — Review expectations and standards
- Documentation Philosophy — Diátaxis framework and documentation strategy