python-typing-patterns

To add type hints using modern typing, annotate public APIs with Python 3.10+ union syntax and built-in generics. This approach catches runtime type errors during static analysis and improves code readability.

Configuring mypy or pyright for strict type checking involves migrating your project to strict mode in CI/CD. This enables static analysis to catch type errors early and supports safer refactoring across the codebase.

Python protocols and generics help design type-safe libraries by enabling flexible, protocol-based interfaces. Using these typing patterns ensures static type checkers can verify interactions, reducing runtime type errors.

TypedDict and type narrowing structure complex Python annotations by allowing precise type definitions for dictionaries and narrowing types within conditional blocks. This enables type checkers to validate complex data structures safely.

You should migrate to Python 3.10+ typing syntax when adopting strict type checking in CI/CD to improve maintainability. Modern syntax like union types and built-in generics reduces runtime type errors and enables safer refactors.

mypy reports type errors after adding basic Python type hints because static analysis checks for type consistency across your codebase. Applying advanced typing patterns like protocols and type narrowing resolves these interface mismatches.