moai-lang-python

Build a FastAPI API project using async SQLAlchemy 2.0 patterns and JWT-based auth. This approach enforces production-grade code with modern Python 3.13 features and Pydantic v2 for robust data validation.

Structure Django async web applications using best-practice patterns and pytest testing. This ensures robust testing practices across production-grade code, accelerating build quality and reducing errors.

Yes, this Python development approach supports data pipelines using numpy and pandas-lite patterns. It provides a structured method for data workflows integrated with modern web frameworks and async programming.

Yes, you can use Pydantic v2 for data validation in your Python API. The skill enforces Pydantic v2 usage alongside Python 3.13 features to ensure modern typing and robust data processing.

Async programming with SQLAlchemy 2.0 uses non-blocking database patterns to handle concurrent requests efficiently. This skill applies these async patterns to accelerate build quality in modern Python APIs.

You need JWT-based auth for FastAPI endpoints when securing production-grade APIs. This skill enforces JWT-based authentication patterns to ensure robust access control across your web applications.