10 Practical Cursor Rules to Make Your AI Coding Assistant More Reliable

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A developer sharing on DEV Community observed that a teammate's Cursor AI assistant produced cleaner code on identical tasks, with the difference traced to a well-structured .cursor/rules/ folder. Cursor's Project Rules are stored as .mdc files and can be scoped using frontmatter fields to load only when relevant files or contexts are active. The author compiled ten rules covering areas such as TypeScript type safety, SQL query safety, test-writing conventions, and global engineering guardrails. Each rule is designed to be specific and enforceable rather than aspirational, ensuring the AI model receives focused, actionable instructions. The key insight is that scoping rules to trigger only when needed keeps the model's context sharp, unlike loading all rules on every request.

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