AI Integration
Leverage the power of AI with SeanStack's pattern metadata system. Every pattern is designed to work seamlessly with AI assistants for intelligent development.
AI-First Design
How AI Integration Works
Pattern Metadata
Each pattern includes comprehensive metadata that describes its purpose, dependencies, and relationships.
{
"name": "auth-form",
"version": "1.2.0",
"description": "Authentication form with validation",
"dependencies": ["@seanstack/ui", "zod"],
"customizable": ["styles", "validation", "fields"],
"relationships": ["user-profile", "dashboard"]
}Context Awareness
AI assistants can understand your entire project structure and make intelligent suggestions based on context.
AI-Powered Features
Intelligent Pattern Updates
Update patterns while preserving your customizations
When updating a pattern, AI analyzes your customizations and intelligently merges updates without breaking your changes.
Example: Updating an auth form
seanstack update auth-form --ai-merge✓ Detects your custom fields
✓ Preserves your validation rules
✓ Applies security updates
✓ Maintains your styling
Supported AI Tools
SeanStack's metadata format works with any AI tool. Here are some popular integrations:
Claude (Anthropic)
Claude understands SeanStack patterns natively and can help with complex refactoring.
✓ Pattern-aware suggestions
✓ Multi-file refactoring
✓ Security analysis
GitHub Copilot
Copilot uses pattern metadata for more accurate code completions.
✓ Context-aware completions
✓ Pattern consistency
✓ Inline documentation
Cursor
Cursor's AI features work seamlessly with SeanStack patterns.
✓ Multi-file editing
✓ Pattern understanding
✓ Codebase chat
Custom AI Agents
Build your own AI tools using the pattern metadata API.
✓ Open metadata format
✓ REST API access
✓ Webhook integration
Best Practices
Writing AI-Friendly Code
Clear Naming
Use descriptive names that clearly indicate purpose and relationships
Consistent Patterns
Follow established patterns to help AI understand your intentions
Meaningful Comments
Add comments that explain "why" not "what" for better AI context
Type Safety
Use TypeScript types to provide clear contracts for AI to follow
Prompt Engineering Tips
"Update the auth-form pattern to add social login"
✓ References specific pattern
"Following the data-table pattern, create a user list"
✓ Uses existing pattern as template
"Refactor to match project conventions"
✓ Leverages pattern metadata
Start Using AI with SeanStack
Ready to supercharge your development with AI? Check out these resources: