Clean code in the age of coding agents

4 hours ago

Clean code benefits both human developers and coding agents by improving maintainability and reducing complexity.
Code has two main properties: value (functionality, performance) and structure (organization); poor structure leads to higher long-term costs and technical debt.
Characteristics of clean code include readability, simplicity, modularity, and testability, which together make code easier to change.
Coding agents, like LLMs, are limited by context windows; poorly organized code increases token usage and costs due to higher cognitive load.
Agents can adopt the style of a codebase, so maintaining clean structure helps them work more efficiently by focusing on fewer, relevant files.
Practical steps involve specifying both value and structure in tasks, reviewing agent outputs, and ensuring code organization is explicitly managed.

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