Reinventing.AI
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Vibe Coding

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 files

Tell 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

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.

Next Steps