Designs and reviews high-level system architectures for Python backend projects using FastAPI and SQLAlchemy 2.0.
This skill provides comprehensive guidance for architecting robust Python backends, focusing on modularity, scalability, and maintainability. It helps developers implement industry-standard patterns like Layered Architecture, Repository, and CQRS while ensuring security through defense-in-depth and performance through optimized data access. Whether you are designing a new system from scratch, creating Architecture Decision Records (ADRs), or modernizing legacy codebases, this skill acts as an expert consultant to ensure clean module boundaries and efficient dependency management.
Key Features
01Automated architecture reviews and circular dependency detection
02Legacy code analysis with phased modernization planning
03Interactive system design for new projects and modules
04Implementation of Repository, CQRS, and Event-Driven patterns
050 GitHub stars
06Generation of Architecture Decision Records (ADR) and Mermaid diagrams
Use Cases
01Designing a scalable FastAPI backend with clear domain boundaries
02Documenting complex system decisions using ADRs and visual diagrams
03Refactoring a monolithic 'Big Ball of Mud' into a modular architecture
