As AI coding assistants become integral to development workflows, project structure plays a crucial role in maximizing their effectiveness. This article advocates for a monorepo approach when building applications with one backend and multiple frontends, especially when using tools like Cursor. The key benefits include improved cross-project debugging, shared type definitions, and unified script management, which collectively enhance AI accuracy and developer productivity. For indie hackers and small teams, adopting a monorepo can streamline collaboration and reduce context-switching. This trend underscores the importance of designing project architectures that are AI-friendly, enabling faster iteration and more reliable code generation.
A practical guide to organizing monorepo projects for AI coding tools like Cursor, boosting efficiency and accuracy.