clean-code

To refactor complex functions for maintainability, break them down into smaller, single-responsibility functions, rename variables for clarity, and remove redundant comments to prioritize self-documenting code over excessive explanations.

Pragmatic coding standards for AI-assisted software development enforce principles like SRP, DRY, KISS, and YAGNI. They prioritize conciseness, directness, and maintainability while avoiding over-engineering or unnecessary complexity in the generated code.

No, the clean-code approach requires no specific dependencies or frameworks. It acts as a set of guidelines that can be applied directly to any AI-assisted software development workflow to enforce naming conventions, function size limits, and code structure.

To apply the Boy Scout Rule when writing new code, follow a rigorous self-check process before task completion. This ensures the code you leave behind is cleaner than what you found, adhering to pragmatic coding standards and clear structural conventions.

You should not avoid self-documenting code; pragmatic coding standards prioritize it over excessive comments. You should write clear naming and structure directly into the code, only removing redundant comments that simply restate what the code already shows.

To ensure AI-generated code follows DRY and KISS principles, apply pragmatic coding standards that mandate a rigorous self-check process before task completion. This enforces conciseness, directness, and a strict adherence to these core maintainability rules.