Locofy.ai Technical Reference
Core Functionality
Primary Service: AI-powered conversion of Figma/Penpot designs to frontend code
Supported Frameworks: React, React Native, Next.js, Vue, Angular, HTML/CSS, Flutter
Architecture: Plugin-based integration with design tools, token-based pricing model
Performance and Quality Metrics
Code Generation Accuracy
- Simple layouts: Generally functional, minimal manual fixes required
- Complex interactions: 30% code rewrite typically needed for custom animations
- Mobile responsiveness: Generates hardcoded pixel values that break on non-desktop
- Dark mode/RTL support: Not supported - requires manual implementation
Token Consumption
- Simple screen: 600 tokens ($240 at pay-as-you-go rates)
- Complex screen: 1,250+ tokens ($500+ at pay-as-you-go rates)
- Complexity factors: Nested Auto Layout groups, custom animations, micro-interactions
Pricing Structure
Tier Breakdown
Plan | Cost | Token Rate | Screens/Month |
---|---|---|---|
Pay-as-you-go | $0.40/token | $240-500/screen | Variable |
Starter | $400/year | $0.27/token | ~5 simple screens |
Pro | $1,200/year | $0.20/token | ~24 simple screens |
Enterprise | Custom | Bulk discounts | Unlimited |
Cost Reality Check
- MVP development: 3x speed improvement with proper design prep, 1.5x without
- Production projects: $500+ bills common for complex screens
- Hidden costs: Design preparation time, manual fixes for animations
Critical Requirements
Design Preparation (MANDATORY)
- Auto Layout: Must be used throughout design - hardcoded positions generate div soup
- Component naming: Proper layer names required (not "Rectangle 1", "Rectangle 2")
- Component structure: Logical hierarchy essential for clean code output
- Skip preparation cost: Results in unusable code with position: absolute everywhere
Technical Limitations
- Responsive breakpoints: Non-functional - hardcoded values only
- Complex animations: Expect complete rewrite for anything beyond basic transitions
- Custom interactions: Requires manual state management implementation
- Plugin stability: Frequent crashes with nested Auto Layout groups
Integration Ecosystem
Version Control
- GitHub sync: Works until design restructuring occurs
- Merge conflicts: Poor resolution - assumes design always correct
- Backup requirement: CRITICAL - manual changes get overwritten during sync
- Smart merge: Marketing term - conflict resolution is primitive
Development Workflow
- VS Code extension: Available, decent quality
- Claude/Cursor integration: MCP support for AI coding tools
- Storybook integration: Functional for design system maintenance
Competitive Position
Market Differentiation
- Mobile support: React Native/Flutter output (unique advantage)
- Code quality: Actually readable output vs competitor div soup
- Enterprise features: SAML SSO, team permissions, audit logs
- Multi-framework: Same design to multiple tech stacks
Competitor Comparison
- Builder.io: Marketing sites only, better visual editing
- Anima: Rule-based conversion, good for prototypes
- TeleportHQ: Decent code quality, limited framework support
- Figma Dev Mode: Native integration, basic functionality
Failure Scenarios
High-Risk Situations
- Complex nested components: Plugin crashes, undefined children errors
- Animation-heavy designs: 30%+ code rewrite required
- Tight deadlines: Token costs can exceed AWS bills for large projects
- Design changes during development: GitHub sync overwrites custom code
Common Misconceptions
- "10x faster development": Marketing claim - reality is 1.5-3x depending on design quality
- "Production-ready code": Requires significant manual work for complex features
- "Smart merge": Conflict resolution is basic, favors design over custom logic
Implementation Success Factors
Prerequisites
- Designer familiar with Auto Layout best practices
- Budget planning for token consumption (test on throwaway designs first)
- Backup strategy for custom code before sync operations
- Understanding that generated code is starting point, not final product
Resource Requirements
- Time investment: 50-70% of traditional development time with proper prep
- Expertise needed: Frontend development skills still required for customization
- Design skills: Auto Layout proficiency mandatory for clean output
Enterprise Considerations
- Security compliance: SAML SSO, audit logging available
- Team workflow: Multi-user support, permissions management
- Bulk pricing: Custom enterprise rates for high-volume usage
- Support quality: Dedicated enterprise support vs community forums
Operational Warnings
Critical Breaking Points
- Token budget exhaustion: $500+ bills possible for single complex screens
- Plugin stability: Requires Figma restarts for nested Auto Layout issues
- Sync conflicts: Manual code changes lost without proper backup procedures
- Framework limitations: No RTL, dark mode, or complex animation support
Success Indicators
- Clean Auto Layout structure in design
- Simple to moderate interaction complexity
- Budget allocated for 20-30% manual code refinement
- Team trained on backup procedures before sync operations
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