speckit-feature

You scaffold a Python feature by generating typed contracts, domain models, repository protocols, and service layers. This automated generation ensures type-safe and tested feature development from the start.

Automating Python feature development involves using a scaffold generation tool to create interface surfaces and service layers. This approach standardizes feature creation and enforces type safety across the project.

Yes, generating type-safe Python feature scaffolds requires uv, ruff, mypy, and pytest. These dependencies ensure reproducible environments, code quality checks, and type safety validation.

The interactive clarification process engages developers to define feature requirements before code generation. This ensures the resulting Python scaffolds accurately reflect the intended domain models and contracts.

This tool generates new service layers, repository protocols, and domain models rather than modifying existing ones. It focuses on creating reproducible, type-safe features from clarified requirements.

Python feature scaffolding requires ruff and pytest to enforce code quality assurance and testing standards. This ensures the generated contracts and service layers comply with project standards.