core-conventions

To enforce Python coding standards, you validate code against specific conventions focusing on package management, type hinting, primitive usage, and anti-patterns. This ensures code consistency by identifying issues and suggesting better alternatives.

The best way to manage Python dependencies consistently is to standardize on a specific package manager like uv instead of pip or poetry. This prevents version conflicts and aligns dependency management with repository best practices.

Yes, you need Python 3.11 or later to use specific type hinting conventions and primitives. This version requirement ensures compatibility with modern Python features required by the coding standards.

To replace manual loops and avoid Python anti-patterns, use RetryPrimitive, TimeoutPrimitive, and CachePrimitive. These primitives standardize retry, timeout, and caching logic, improving overall code quality.

You should use uv instead of pip or poetry for Python package management to ensure code consistency across the repository. Standardizing on uv aligns with specific coding conventions and avoids dependency management anti-patterns.

During a Python code review, look for anti-patterns like manual retry loops, missing type hints, and using pip or poetry for dependency management. Identifying these issues ensures adherence to recommended coding standards.