clean-code

Clean code principles enforce SRP, DRY, KISS, and YAGNI to eliminate god-functions and unclear names. By applying naming conventions, limiting function arguments, and using guard clauses, you reduce bugs and cognitive load, producing concise, maintainable source code suitable for production.

Use a validation workflow with mandatory self-checks and structured script output handling. Run verification scripts, parse and summarize results, and re-run validation tools before marking work complete. This ensures automated agent-driven edits produce production-quality patches with minimal bugs.

Best practices for function size and arguments include writing small single-purpose functions with limited arguments. Using guard clauses for early exits and following naming conventions reduces bugs and cognitive load, keeping your codebase concise, maintainable, and easier to verify by humans and AI agents.

Yes, this clean code approach works for automated agent-driven edits. It enforces pragmatic coding standards, a mandatory self-check checklist, and structured script output handling, requiring agents to run verification scripts and summarize results before marking work complete.

You should avoid strict coding standards when rapid prototyping demands speed over maintainability, or when over-engineering verification workflows adds unnecessary complexity. For production-ready source code, however, applying coding standards prevents god-functions and inconsistent structure.