This article outlines ten principles for organizing code to improve its maintainability and understandability for AI agents. The principles are grouped into three clusters: Locality, Contracts, and Quarantine, each addressing different aspects of how code remains useful when its primary reader changes. Locality focuses on where code elements should be placed for easy discovery, advocating for co-location by feature rather than by layer and using full import paths. Contracts aim to encode truth so AI agents can trust the code, while Quarantine deals with managing exceptions to prevent them from affecting the broader codebase. AI
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IMPACT Provides a framework for structuring code to be more understandable and maintainable by AI agents, potentially improving development workflows.
RANK_REASON This is an opinion piece discussing principles for code organization, not a release or research finding.