Cursor Rules System - Complete Guide
The Cursor Rules System is the heart of AI Velocity's intelligent development experience. It transforms Cursor from a simple AI assistant into a knowledgeable development partner that understands your entire project structure, patterns, and workflows.
What Are Cursor Rules?
Cursor Rules are intelligent guidelines stored in .cursor/rules/
that teach your AI about:
- Your project architecture and tech stack
- Code patterns and conventions
- Development workflows and best practices
- Template-driven code generation
Think of them as AI memory that persists across all your development sessions.
Rule Types Overview
1. Always-Applied Rules
Purpose: Core project context active in every AI interactionWhen Active: Always
Contains: Architecture overview, tech stack, routing patterns
2. Auto-Attached Rules
.cursor/rules/frontend/frontend-patterns.mdc → React/TypeScript files
.cursor/rules/backend/backend-patterns.mdc → Python files
.cursor/rules/frontend/styling-guide.mdc → Theme/UI files
When Active: Automatically when working in matching files
Contains: File-specific patterns, conventions, best practices
3. Manual/Requestable Rules
@api-workflow → Complete API development process
@database-migration → Alembic migration workflows
@deployment → Multi-platform deployment guides
@development-workflow → Local development processes
When Active: Explicitly requested with
@ruleName
Contains: Step-by-step processes, command sequences
4. Template System
@templates/component-template.tsx → React component boilerplate
@templates/service-template.py → FastAPI service boilerplate
When Active: Referenced by other rules or requested directly
Contains: Complete code templates with proper patterns
How Each Rule Type Works
Always-Applied Rules in Action
File: .cursor/rules/project-overview.mdc
---
description: CraftYourStartup project overview and core principles
alwaysApply: true
---
# CraftYourStartup Boilerplate
- Backend: FastAPI + SQLModel + PostgreSQL
- Frontend: React 18 + TypeScript + Vite + Material-UI
- Authentication: JWT + OAuth (Google)
- Payments: Stripe integration
- State Management: TanStack React Query + Context API
Impact: AI always knows your tech stack and can make contextual suggestions.
Auto-Attached Rules in Action
When you open a React component file:
Automatically activates: frontend/frontend-patterns.mdc
- AI knows to use TypeScript interfaces
- Suggests MUI components and styling patterns
- Follows StandardButton system
- Includes proper error handling patterns
When you open a Python service file:
Automatically activates: backend/backend-patterns.mdc
- AI knows to use dependency injection
- Suggests proper service layer patterns
- Includes error handling and logging
- Follows FastAPI conventions
Manual Rules in Action
Usage: Type @api-workflow
in Cursor
AI Response:
# Complete API Development Workflow
1. Define Pydantic Schemas (app/schemas/)
2. Implement Service Layer (app/services/)
3. Add Controller Endpoints (app/controllers/)
4. Generate Frontend Client (`task generate-client`)
5. Create React Hooks (hooks/api/)
6. Build Components with proper error handling
Template System in Action
Usage: Ask AI to create a new service using templates
AI generates:
# Uses @templates/service-template.py
class YourService:
def __init__(
self,
db: AsyncSession,
current_user: Optional[CurrentUserResponse],
request: Request,
):
self.db = db
self.current_user = current_user
self.request = request
async def create_item(self, item_data: YourCreateSchema) -> YourReadSchema:
# Template includes proper validation, error handling, logging
if not self.current_user:
raise HTTPException(status_code=401, detail="Authentication required")
# ... complete template pattern
Practical Usage Examples
Example 1: Creating a New Feature
You: "Create a new Article feature with CRUD operations"
AI (using multiple rules):
- project-overview.mdc: Understands this is FastAPI + React + SQLModel
- @api-workflow: Follows complete development process
- @templates/service-template.py: Generates service with proper patterns
- @templates/component-template.tsx: Creates React components
- backend-patterns.mdc: Ensures proper dependency injection
- frontend-patterns.mdc: Uses StandardButton and MUI patterns
Result: Complete feature with consistent patterns across entire stack.
Example 2: Database Migration
You: @database-migration I need to add a new field to User model
AI Response:
# Step-by-step migration process:
1. Update model in app/models.py:
new_field: str = Field(default="default_value")
2. Generate migration:
task alembic-revision-local -- "Add new_field to User"
3. Review migration file in migrations/versions/
4. Apply migration:
task alembic-upgrade-local
5. Test in development before production
Example 3: Deployment Guidance
You: @deployment I want to deploy to Railway
AI provides: Complete Railway deployment guide with:
- Step-by-step commands
- Environment variable setup
- Database configuration
- Troubleshooting tips
Rule File Structure
Standard Rule Format
---
description: Brief description of rule purpose
globs: ["app/**/*.py"] # For auto-attached rules
alwaysApply: true # For always-applied rules
---
# Rule Content
Your rule content in markdown format with:
- Code examples
- Best practices
- Template references
- Workflow steps
Auto-Attached Rule Example
---
description: React frontend patterns and conventions
globs: ["frontend/src/**/*.tsx", "frontend/src/**/*.ts"]
---
# Frontend Development Patterns
@templates/component-template.tsx
## Button System
Always use StandardButton components:
```tsx
import { StandardButton, CTAButton } from "@/components/ui/StandardButton";
<StandardButton variant="contained" icon={<Save />}>
Save Item
</StandardButton>
---
## 🧪 Testing Your Rules
### **Verification Methods**
**1. File-Based Testing**
- Open Python file → Ask for service creation → Should use service patterns
- Open React file → Ask for component → Should use component patterns
**2. Manual Rule Testing**
- Type `@api-workflow` → Should provide complete API development guide
- Type `@database-migration` → Should provide migration workflow
**3. Template Testing**
- Type `@templates/service-template.py` → Should show service template
- Ask to create component → Should reference component template
### **Debug Commands**
```bash
# Check rule files exist
ls -la .cursor/rules/
# View rule metadata
head -10 .cursor/rules/project-overview.mdc
# Check auto-attached patterns
grep -r "globs:" .cursor/rules/
Success Indicators
✅ AI suggests code following your patterns
✅ Manual rules respond when requested
✅ Templates are used in generated code
✅ Context-specific rules activate correctly
Best Practices
Rule Organization
- Keep rules focused: One concern per rule file
- Use clear descriptions: Help AI understand purpose
- Reference templates: Link to reusable code patterns
- Update regularly: Keep rules current with code changes
Template Design
- Include complete examples: Full working code
- Add extensive comments: Explain patterns and decisions
- Cover edge cases: Error handling, validation, logging
- Use TypeScript interfaces: Ensure type safety
Testing Rules
- Test after changes: Verify rules work as expected
- Use multiple scenarios: Different file types and contexts
- Check rule interactions: Ensure rules work together
- Document discoveries: Note what works best
Customizing Rules
Adding New Rules
1. Create Rule File
2. Add Metadata
3. Add Content
- Code examples
- Best practices
- Template references
- Usage patterns
Modifying Existing Rules
1. Update Rule Content
- Edit existing
.mdc
files - Add new patterns or examples
- Update best practices
2. Test Changes
- Verify rule activation
- Check AI responses
- Test with real development scenarios
Advanced Usage
Rule Combinations
Rules work together intelligently:
- Always-applied + Auto-attached = Context-aware assistance
- Manual rules + Templates = Guided code generation
- Multiple auto-attached = Comprehensive pattern coverage
Workflow Integration
# Complete development workflow with AI
1. task run-local # Start backend
2. @api-workflow # Get AI guidance
3. Ask AI to create feature # Uses templates + patterns
4. task generate-client # Sync API types
5. Ask AI to create UI # Uses frontend patterns
6. @deployment # Get deployment guidance
Team Adoption
- Share rules: Consistent patterns across team
- Document patterns: Rules serve as living documentation
- Update together: Evolve rules with project needs
- Train newcomers: Rules help onboard new developers
Next Steps
- Verify AI integration in your boilerplate –
/development/TEST_CURSOR_RULES.md
- Master AI-assisted development
- Try the complete feature creation process using Cursor (@api-workflow)
The Cursor Rules system transforms your AI from assistant to partner.
Instead of explaining your project every time, your AI already knows your patterns, conventions, and workflows. This is the future of development—intelligent, consistent, and fast. ✨