python-architect

You can generate high-level Python architecture by producing protocols, test stubs, and module structures. This automates adherence to clean code practices, dependency injection, and clear component definition through generated code and diagrams.

The best way to structure a testable Python microservice is to define core protocols, initial test stubs, and package layout upfront. This ensures dependency injection and clean component separation before implementation begins.

Yes, you can generate Mermaid diagrams for Python module structure and data flow. The architecture design process creates these visual representations alongside protocols and test stubs to clarify component relationships and data directions.

Yes, Python architecture generation supports dependency injection and type hints by adhering to project-local best practices. It defines protocols and test stubs that enforce clean code standards and clear component interfaces.

You need to generate protocols and module structures during the design phase of new Python projects or features. This upfront architecture generation establishes testability, dependency injection boundaries, and clear component definitions before writing implementation code.