Three more static code analysis sensors
Read OriginalThis article details practical experimentation with static code analysis sensors to improve codebase maintainability when using AI coding agents. It covers three sensors: basic linting with rules for typical AI shortcomings, dependency rules to enforce architecture, and coupling data analysis for human and AI consumption. The author, a software expert, shares observations from an internal analytics dashboard built with TypeScript, NextJS, and React, emphasizing how these sensors help AI agents self-correct and maintain internal quality over time.
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