Global Commenting

Self-documenting code prioritizes clear naming and structure over excessive comments. Add comments only for complex logic, non-obvious implementation details, and algorithmic decisions that naming alone cannot convey. Remove or update comments when code changes, keeping explanations evergreen and relevant to the current implementation.

Write comments that explain the why and what of complex sections, not the how. Focus on algorithmic intent, business logic, and non-obvious design choices rather than restating what the code visibly does. Keep comments minimal and high-level so they remain valid across minor refactors and maintenance updates.

Yes, self-documenting principles apply universally across all languages and codebases. The core practice—clear naming, strategic comments for complexity, and removal of redundant explanations—works during writing, editing, reviewing, and refactoring regardless of language, framework, or codebase size.

Use descriptive names for variables and functions to eliminate the need for inline comments explaining their purpose. This replaces line-by-line commentary with readable code structure. Reserve block comments for complex algorithms or non-obvious logic where naming cannot fully capture intent.

Self-documenting code integrates with coding standards and automated linters by keeping comments minimal, non-redundant, and aligned with naming and structure conventions. Specify functional and technical requirements for comments in your style guide, then enforce through tools to maintain consistency across reviews and refactoring.

Outdated comments clutter codebases when comment maintenance isn't enforced during code reviews and refactoring. Self-documenting practices prevent this by reducing comment volume upfront, prioritizing clear naming and structure, and promoting regular review and removal of unnecessary explanations during maintenance cycles.