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cursor-rules

Cursor Rules

This repository provides a set of Cursor IDE AI rules designed to transform Cursor's AI capabilities into a strategic, business-focused engineering guide. It implements guardrails that guide Cursor AI to behave like a senior principal engineer, prioritizing business value, identifying root problems, implementing minimal changes, and maintaining production-ready code. Get pragmatic, maintainable solutions without overengineering—install with a single script.

Install
Compatible with 1 platforms
Cursor
Tags
cursor-aiai-rulesengineering-guardrailsbusiness-valueproduction-ready-codesenior-principal-engineer
README.md

Cursor AI Rules: Senior Principal Engineer Guardrails

This repository contains a set of Cursor IDE AI rules designed to transform Cursor's AI capabilities from basic code completion to strategic, business-focused engineering guidance.

Purpose

These rules implement guardrails that guide Cursor AI to behave like a senior principal engineer who:

  • Identifies the underlying business problem before writing code
  • Makes small, focused changes with clear business value
  • Writes production-ready code with proper testing and documentation
  • Considers maintainability, monitoring, and cross-team impacts
  • Documents technical debt and knowledge transfer

Installation

Option 1: Using the installation script

./install.sh /path/to/your/project

Option 2: Manual installation

  1. Create a .cursor/rules directory in your project root:
mkdir -p /path/to/your/project/.cursor/rules
  1. Copy the .mdc files from this repository into that directory:
cp .cursor/rules/*.mdc /path/to/your/project/.cursor/rules/

Rules

RuleDescription
Cursor Rules LocationStandards for placing Cursor rule files in the correct directory
Root Problem IdentificationEnsures AI identifies underlying business problems before suggesting solutions
Minimum Viable ChangeImplements the smallest set of changes needed to solve problems effectively
Business Value PrioritizationPrioritizes business impact over technical elegance or novelty
Frequent Commit StrategyBreaks work into small, testable commits using conventional format
Explicit Requirement ExtractionClarifies unstated requirements and validates understanding before coding
Proactive Edge Case HandlingIdentifies potential failure points and handles them without prompting
Production-Ready MindsetWrites code assuming it will be deployed immediately to production
Knowledge Transfer FocusDocuments solutions in a way that builds team capability and understanding
Technical Debt AwarenessLabels and documents technical compromises made for business urgency
Self-Review Before SubmissionCritically evaluates solutions for bugs, edge cases, and maintenance issues

Usage

When working with Cursor AI, these rules will automatically guide the AI's responses toward higher-quality, business-focused solutions. You should notice:

  1. More thorough requirement analysis
  2. Clearer documentation of design decisions
  3. Better error handling and edge case coverage
  4. Production-ready considerations like monitoring and rollback plans
  5. Conventional commit message suggestions

Customization

You can customize these rules for your specific needs:

  1. Edit the .mdc files to adjust validation criteria, suggestions, or examples
  2. Disable specific rules by removing the files
  3. Add your own rules following the same MDC format

Contributing

Contributions are welcome! If you have improvements or additional rules:

  1. Fork this repository
  2. Create a new branch for your changes
  3. Submit a pull request with a clear description of your additions

License

MIT License