reducing-entropy

To reduce technical debt by shrinking your codebase size, enforce a strict deletion-first policy during refactoring. Evaluate changes based on whether they result in a net decrease in lines of code, files, or functions while maintaining functionality.

Identify obsolete code to delete during a legacy module refactoring by evaluating existing functionality to find redundant logic. Merge overlapping functions and remove unused files to ensure the final codebase volume is strictly smaller than the original.

A deletion-first refactoring approach prioritizes minimizing total code volume over adding new features. Use it when fighting technical debt and cognitive load in a codebase, applying philosophical frameworks to guide architectural simplification decisions.

Measure the success of a codebase simplification task by quantitatively comparing code volume before and after changes. Success is defined by achieving a net decrease in total lines of code, files, or functions without breaking existing functionality.

A deletion bias strategy is designed for technical debt reduction and architectural cleanup rather than active feature development. It counters codebase growth by strictly evaluating if changes result in a net decrease in overall code volume.

The limitation of using radical deletion for codebase optimization is that it requires strict adherence to maintaining existing functionality while removing code. It prioritizes volume reduction over feature addition, making it unsuitable for rapid feature expansion phases.