feature-driven-architecture-python

What problem does it solve?

This Skill addresses the complexity of structuring Python projects, particularly larger ones, by enforcing a clear, maintainable architecture based on distinct business capabilities or features. It helps prevent architectural drift and maintainability issues as the project grows.

Core Features & Use Cases

• Feature-Based Organization: Organizes code into self-contained feature directories (e.g., auth/, billing/).
• Boundary Enforcement: Provides rules and tooling recommendations (like import-linter) to maintain strict separation between features.
• Inter-Feature Communication Patterns: Defines clear strategies for how features interact (direct imports, events, shared read models).
• Database Model Ownership: Establishes guidelines for where models should reside and how cross-feature references are handled.
• Migration Strategies: Offers approaches for migrating from traditional layered architectures to a feature-driven one.
• Use Case: For a growing e-commerce platform, this Skill ensures that the product feature's code and data models remain independent of the order feature, preventing tight coupling and enabling independent development and deployment.

Quick Start

Apply the feature-driven-architecture-python skill to refactor the current Python project structure.