python-engineering

A standard Python project structure uses a src/ layout with clear packaging aligned alongside a dedicated testing directory to accelerate onboarding and maintainability. This enforces a standard project layout and explicit dependencies for robust engineering.

Set up testing and typing by integrating pytest for thorough test coverage and mypy for typing discipline to ensure robust code quality. This combination satisfies requirements for code quality checks and reliable library development.

Ruff works with mypy and pytest to enforce style, typing discipline, and comprehensive tests in Python projects. Together, these tools provide quality guarantees for production-ready code across libraries, CLIs, and applications.

Create a Python CLI tool skeleton by applying standard engineering guidelines to establish packaging, type hints, docs, and CI checks. This provides a structured project layout with explicit dependencies and enforced code quality.

Explicit dependencies are required for Python engineering projects to satisfy standard layout guidelines and ensure reliable, production-ready code execution. They prevent environment conflicts and maintain clear packaging structure for libraries and applications.

These Python engineering guidelines apply directly to AI agent development by providing the structure, testing, typing, and tooling needed for production-ready code. They detail how to satisfy requirements for standard layouts and quality checks in agent projects.