implementing-python-feature

Python feature implementation is orchestrated by sequentially invoking skills for understanding specifications, writing tests, coding, and reviewing code for each user story. It manages iterative development loops and tracks progress to ensure complete feature implementation.

The workflow for iterative Python feature development follows a structured loop of writing tests, reviewing tests, implementing code, and reviewing implementation for each story. This ensures robust testing and high-quality code before moving to the next story.

Yes, the Python feature implementation workflow requires integration with specific skills like understanding-specs, testing-python, reviewing-python-tests, coding-python, and reviewing-python to manage the end-to-end lifecycle.

To start implementing a Python story using workflow automation, invoke the skill and provide the path to your story file, such as 'path/to/your/feature/10-first.story', to begin the orchestrated process.

Yes, you can use this for agile development of new Python features with multiple stories. It systematically implements each story, ensuring adherence to testing and code review standards before completion.