Vibe Coding Best Practices
Move beyond basic AI coding to build production-quality applications. These advanced patterns and techniques will transform you from casual vibe coder to professional AI-assisted developer.
The Three Levels of Vibe Coding
Level 1: Prompt & Pray
"Make a todo app" → Hope it works → Deploy whatever comes out
Level 2: Iterative Refinement
Clear prompts → Test results → Iterate based on feedback → Polish before deploy
Level 3: Architectural Vibe Coding (You are here)
Design system → Component architecture → Type safety → Testing → Performance optimization
This guide focuses on Level 3—professional patterns that make AI-generated code maintainable, scalable, and production-ready.
Pattern 1: Component-First Architecture
Instead of asking AI to build everything at once, design your component hierarchy first:
❌ Don't do this:
"Build a complete e-commerce site with products, cart, and checkout"
✅ Do this instead:
Turn 1: "Create the layout shell - Header, Footer, Sidebar, MainContent" Turn 2: "Build a ProductCard component with image, title, price, add-to-cart" Turn 3: "Create a CartDrawer that slides in from the right" Turn 4: "Build a CheckoutForm with validation" Turn 5: "Connect all components with state management"
This approach gives you:
- Reusable, testable components
- Easier debugging (issues isolated to specific components)
- Ability to swap/update parts without breaking everything
- Better AI results (smaller, focused prompts work better)
Pattern 2: Design System First
Establish your design tokens before generating components:
Example design system prompt:
"Create a design system configuration: Colors: - Primary: #3b82f6 (blue) - Secondary: #8b5cf6 (purple) - Success: #10b981 (green) - Error: #ef4444 (red) - Neutral: grays from 50-900 Typography: - Headings: Inter font, bold - Body: Inter font, regular - Scale: 12px, 14px, 16px, 20px, 24px, 32px, 48px Spacing: - Use 4px base unit (4, 8, 12, 16, 24, 32, 48, 64) Border Radius: - sm: 4px, md: 8px, lg: 12px, xl: 16px Shadows: - sm, md, lg elevations Create this as Tailwind config and CSS variables."
Then reference this system in all subsequent prompts: "Create a Button component using our design system colors and spacing"
Pattern 3: Type-Safe by Default
Always request TypeScript types when generating components:
"Create a UserProfile component with TypeScript.
Props interface:
interface UserProfileProps {
user: {
id: string;
name: string;
email: string;
avatar?: string;
role: 'admin' | 'user' | 'guest';
joinedAt: Date;
};
onEdit?: () => void;
isEditable?: boolean;
}
Include prop validation and JSDoc comments."TypeScript catches bugs before deployment and makes AI-generated code self-documenting.
Pattern 4: Accessibility-First
Make accessibility non-negotiable in every prompt:
Always include:
- • "Make it fully keyboard accessible (Tab, Enter, Escape navigation)"
- • "Add proper ARIA labels and roles"
- • "Ensure screen reader compatibility"
- • "Use semantic HTML elements"
- • "Maintain WCAG 2.1 AA contrast ratios"
- • "Include focus visible states"
Pattern 5: Error Boundaries & Loading States
Professional apps handle edge cases gracefully. Request comprehensive state management:
"Create a ProductList component that handles: Loading state: - Show skeleton loaders while fetching - Use 6 skeleton cards in a grid Error state: - Show error message if fetch fails - Include retry button - Log error to console Empty state: - Show friendly message if no products - Suggest actions (browse categories, clear filters) Success state: - Render product grid - Include pagination if >20 items"
Pattern 6: Performance Optimization
AI-generated code isn't always optimized. Ask for performance best practices:
- →"Use React.memo to prevent unnecessary re-renders"
- →"Implement lazy loading for images with intersection observer"
- →"Use useMemo for expensive calculations"
- →"Debounce search input with 300ms delay"
- →"Virtualize long lists (>100 items) with react-window"
Pattern 7: State Management Architecture
For complex apps, establish state management early:
Local state (useState):
UI state, form inputs, toggles
Context (useContext):
Theme, auth, user preferences (low-frequency updates)
Zustand/Jotai:
Global app state, shopping cart, notifications
React Query/SWR:
Server state, API data, caching
Tell the AI your state strategy: "Use Zustand for cart state, React Query for product fetching"
Pattern 8: Testing from the Start
Request tests alongside components:
"Create a LoginForm component with Vitest tests. Test cases: - Renders email and password fields - Shows validation errors for invalid email - Disables submit when form is invalid - Calls onSubmit with correct data - Shows loading state during submission - Displays API error messages Use React Testing Library and user-event."
Pattern 9: Documentation & Comments
AI can write excellent documentation—just ask:
- "Add JSDoc comments explaining each prop"
- "Include usage example in the component file"
- "Add inline comments for complex logic"
- "Generate README.md with component API docs"
- "Create Storybook stories showing all variants"
Pattern 10: Folder Structure & Organization
Establish clear file organization:
src/
components/
ui/ # Design system components
features/ # Feature-specific components
layouts/ # Page layouts
hooks/ # Custom React hooks
lib/ # Utilities and helpers
types/ # TypeScript types
api/ # API client and endpoints
stores/ # State management
styles/ # Global styles, themes
__tests__/ # Test filesTell AI where to put things: "Create a ProductCard in components/features/products/"
Advanced Technique: Prompt Chaining
Build complex features by chaining focused prompts:
Step 1: Types
"Define TypeScript types for a blog system (Post, Author, Comment, Tag)"
Step 2: API Client
"Create API functions using these types (getPosts, getPost, createPost)"
Step 3: Hooks
"Create custom hooks with React Query (usePosts, usePost, useCreatePost)"
Step 4: Components
"Build PostList component using usePosts hook"
Step 5: Pages
"Create blog listing page assembling all components"
Code Review Checklist
Before accepting AI-generated code, verify:
- ✓No hardcoded values (use constants or env vars)
- ✓Proper error handling (try/catch, error boundaries)
- ✓Accessibility attributes present
- ✓TypeScript types are specific (not 'any')
- ✓Loading and error states handled
- ✓Mobile responsive (test in DevTools)
- ✓No console.logs or debug code
- ✓Dependencies are actually needed
Real Example: E-commerce Product Page
Here's how to build a production-quality product page using all these patterns:
"Create a ProductPage component for an e-commerce site.
Tech stack:
- Next.js 14 with App Router
- TypeScript (strict mode)
- Tailwind CSS
- React Query for data fetching
Features:
- Image gallery with zoom on hover
- Product title, price, description
- Size/color variant selector
- Quantity picker
- Add to cart button
- Related products section
- Customer reviews
Requirements:
- SEO: Proper meta tags, JSON-LD structured data
- Performance: Image optimization, lazy load below fold
- Accessibility: Keyboard navigation, ARIA labels, focus management
- Mobile: Touch-friendly, responsive grid
- Error handling: Handle out of stock, fetch errors
- Loading: Skeleton loaders for all sections
State:
- Use Zustand for cart
- React Query for product data
- Local state for selected variant
Types:
interface Product {
id: string;
name: string;
price: number;
salePrice?: number;
description: string;
images: string[];
variants: { size: string; color: string; stock: number }[];
reviews: Review[];
relatedProducts: string[];
}
Include:
- TypeScript types file
- Unit tests for variant selection logic
- Storybook story
- README with component API"When to Stop Vibe Coding
Know when AI isn't the best tool:
- Complex algorithms - Critical business logic needs human review
- Security-sensitive code - Auth, payments, encryption require expertise
- Performance-critical paths - Hot loops, real-time systems need optimization
- Legacy integration - Working with undocumented old systems
For enterprise-grade applications with these requirements, consider Reinventing.AI's white-label solutions.
Tools to Enhance Your Workflow
- Cursor - AI-powered code editor
- v0.dev - Vercel's AI component generator
- Builder.io - Visual development with AI
- CodiumAI - Test generation
- Mintlify - Auto-generated documentation
Continuous Learning
Vibe coding evolves fast. Stay updated:
- Follow AI coding tool updates (Bolt.new, Cursor, Copilot)
- Join communities: Bolt.new Discord, r/vibecheck
- Read pattern libraries and design systems
- Study open-source projects using AI-assisted development
- Share your own patterns and learnings
Final Thoughts
Professional vibe coding isn't about replacing developers—it's about augmenting your capabilities. The best practitioners combine:
- Strong architectural thinking (human)
- Rapid implementation (AI)
- Quality assurance (human)
- Iterative refinement (human + AI)
Master these patterns, and you'll ship production apps faster than ever—without sacrificing quality.
