Why Lines of Code Are A Bad Measure of Developer Productivity

Counting Lines of Code (LOC) is a traditional yet flawed metric for measuring developer productivity, akin to judging a chef by their number of pots. While LOC can quantify the size of a codebase, it does not reflect the quality or efficiency of the work done, as different programming languages vary in verbosity and effective solutions often involve less code. Using LOC as a productivity measure can incentivize undesirable practices, such as writing overly complex code or avoiding necessary refactoring, due to Goodhart's Law, which suggests that when a measure becomes a target, it ceases to be useful. Instead of focusing on the volume of code, productivity should be assessed based on outputs like problem-solving, system robustness, and codebase health, employing advanced tools like Weave that leverage machine learning to gauge the complexity and time required for tasks. As the industry evolves, moving beyond outdated metrics like LOC to prioritize quality, maintainability, and real-world impact is essential for true engineering productivity.

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