clean-code

Clean code standards are enforced by applying pragmatic coding principles like SRP, DRY, KISS, and YAGNI to ensure code remains concise, direct, and avoids over-engineering. This includes specific guidelines for naming conventions, code structure, and AI interaction behavior.

The best way to refactor for readability is to apply guard clauses, promote flat structures, and use composition. This ensures the resulting code is simple, well-named, and adheres to single responsibility principles without introducing unnecessary complexity.

Coding standards handle verification by requiring adherence to specific scripts that perform mandatory checks for linting, type coverage, and i18n. These scripts ensure that the generated code meets structural and quality baseline requirements before completion.

You need pragmatic programming principles when your codebase becomes difficult to maintain or understand due to unnecessary complexity. Applying these principles directs feature implementation and bug fixing toward conciseness and directness, preventing over-engineering.

Yes, this approach to code quality works without external dependencies, as it relies entirely on built-in scripts and reference guidelines. It enforces coding standards and structural rules internally rather than requiring third-party libraries or frameworks.