The Challenge
Working with Cursor AI across multiple projects, I wanted to:
- Share custom AI rules that work well for my workflow
- Reuse common commands and tools configurations
- Experiment with different prompt templates without committing them
- Keep project-specific customizations separate from team configurations
- Maintain consistency across all my development work
The problem? I didn't want these personal configurations committed to version control, but I also didn't want to maintain separate copies in each project.
My Solution: Centralized Cursor Configuration
I created a central directory for all my Cursor configurations:
~/cursor-config/
├── rules/
│   ├── base-rules.md              # Base AI behavior rules
│   ├── java-rules.md              # Java-specific rules
│   ├── react-rules.md             # React-specific rules
│   └── solid-principles.md        # SOLID design principles
├── commands/
│   ├── github-pr-review.md        # PR review commands
│   ├── test-helpers.md            # Testing utilities
│   ├── refactor-patterns.md       # Refactoring templates
│   └── code-analysis.md           # Code analysis prompts
└── tools/
    ├── project-setup.sh           # Project initialization scripts
    ├── sync-dependencies.sh       # Dependency sync utilities
    └── code-formatters.json       # Formatting configurations
Symlinking Per Project
For each project, I symlink only the relevant files. Here's how I set up different types of projects:
Java Project :
cd ~/work/backend-app1
# Link base rules
ln -s ~/cursor-config/.cursor ./
React/Frontend Project:
cd ~/work/backend-app2
# Link base rules
ln -s ~/cursor-config/.cursor ./
Gitignore Configuration
In each project's .gitignore:
# Cursor AI - personal configs not to commit (symlinked from central config)
.cursor
This way, team-shared Cursor configurations stay in the repo, while my personal ones (symlinked) remain local and don't get committed.
Why This Works Brilliantly
- Single source of truth: Update a rule or command once, all projects benefit immediately
- Experiment freely: Test new AI instructions without cluttering repos
- Context-aware: Cursor automatically discovers and uses these files
- Mix and match: Combine base rules with project-specific customizations
- Team-friendly: Personal preferences don't interfere with committed team configs
- Zero maintenance: No copying, no syncing, no outdated versions
Benefits I've Experienced
- 
Organized structure: .cursor/rules,.cursor/commands,.cursor/toolskeep everything categorized
- Faster onboarding: New projects get my full Cursor setup in seconds
- Consistent AI behavior: Same quality assistance across all codebases
- Easy iteration: Refine prompts based on what works, propagate instantly
- Clean repos: Personal tooling doesn't pollute project history
- Flexibility: Different projects can use different combinations of rules/commands/tools
- Discoverability: Clear directory structure makes it obvious what's available
How to Set This Up
- **Create your central config directory 
- Create your base rules / commands / tools: 
- Create symlinks to your central config: 
- Add symlinked files to .gitignore: 
- Repeat for all your projects! 
The Bottom Line
Symlinks turned my scattered Cursor configurations into a coherent, maintainable system. One source of truth, infinite flexibility, zero overhead.
The .cursor/rules, .cursor/commands, and .cursor/tools structure provides:
- Clear separation of concerns: Rules for AI behavior, commands for reusable prompts, tools for automation scripts
- Easy navigation: Anyone (including future you) can quickly find what they need
- Scalability: Add new rules, commands, or tools without cluttering the project root
- Team compatibility: Team-committed configs and personal symlinked configs coexist peacefully
Sometimes the simplest Unix tools are still the most powerful ones. Who knew a 50-year-old feature would be the perfect solution for organizing AI coding assistant configurations?
 

 
    
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