python-cola-skill

To structure a FastAPI project using Domain-Driven Design, implement the COLA clean architecture by separating your codebase into adapter, application, domain, and infrastructure layers for strict separation of concerns.

Refactor a monolithic Flask application into a layered architecture by migrating business logic into domain entities and value objects, then delegating external concerns to adapter and infrastructure layers following COLA guidelines.

COLA architecture in Python backend development is a clean architecture framework that organizes code into adapter, application, domain, and infrastructure layers to enforce separation of concerns and improve maintainability.

Yes, you can use this clean architecture approach with both Flask and FastAPI, as the DDD and COLA principles enforce framework-agnostic separation between adapter, application, domain, and infrastructure layers.

Implement DDD principles in your Python application when you need to refactor a complex monolithic codebase into a modular structure, ensuring scalable backend development and strict separation of concerns across architectural layers.