python-type-safety

You enforce static type safety in Python by adding explicit type annotations to functions and modules, then running a type checker like mypy or pyright to catch type errors before runtime.

You create reusable type-safe interfaces in Python by using generics and protocols, which allow you to define flexible typing structures without requiring strict class inheritance hierarchies.

Type narrowing in Python is a mechanism where type checkers infer a more specific type within a scope, triggered by writing guard checks like isinstance that the type checker can reason about.

Both mypy and pyright effectively catch type errors in Python APIs; the choice depends on your environment, but both can be configured for strict typing and integrated into CI-ready tooling.

You configure mypy or pyright for CI-ready type checking by enabling strict typing rules in your project configuration, ensuring the type checker runs automatically to catch issues early in the pipeline.