Core Principles

To enforce coding standards for Python and Rust, you can apply automated architectural rules that mandate specific language-level best practices. This ensures code quality, safety, and maintainability across the entire codebase.

The best way to structure extraction logic is to mandate that all of it resides directly within the Rust core. Language bindings should then provide idiomatic APIs that present this functionality naturally to the target language.

Rust production code should avoid .unwrap() to ensure safety and prevent runtime panics. Enforcing strict coding standards helps maintain error-handling efficiency and overall architectural robustness.

To ensure Python code uses frozen, hashable, and slotted dataclasses, apply automated coding conventions that enforce these specific language-level best practices. This maintains strict code quality and architectural standards.

Yes, you can review your existing codebase for adherence to Python and Rust coding conventions by applying architectural enforcement rules. This validates that your code meets strict safety, efficiency, and maintainability standards.