For Vibe Coders: Next.js in the Age of AI
"One of my dreams is that the next Facebook or the next Snapchat will be created by someone that has not have to gone through all this education or has had to develop all these connections and hire all these bright people. Really, it can be one girl in Africa. It can be a boy in Bangladesh." — Guillermo Rauch, 2015
Guillermo Rauch's dream is coming true—but not quite how he expected.
The Vibe Coding Revolution
What Is Vibe Coding?
Former Tesla AI lead Andrej Karpathy coined the term:
"We've entered an era of 'vibe coding,' a mode where developers 'fully give in to the vibes,' describing what they want, accepting autogenerated diffs, and watching functional code materialize in real time."
You're no longer writing code line by line. You're:
- Describing what you want in natural language
- Reviewing and accepting AI-generated changes
- Iterating through conversation rather than compilation
The Tools
v0 by Vercel: In 2023, Vercel released v0—an AI tool that creates web applications from natural language prompts. It won a 2025 Webby Award for developer tools.
The tool translates natural-language prompts into production-grade React/Tailwind code, slashing design-engineering turnaround. Over 100 million user interactions. 3.5+ million users.
In May 2025, Vercel shipped the v0-1.0-md model through an OpenAI-compatible API, putting generative UI just a curl command away from IDEs like Cursor and Codex.
Claude Code: Anthropic's AI coding assistant that can write, edit, and understand entire codebases. You're likely reading this because you use it.
Cursor: An AI-first code editor built on VS Code. It understands your project context and generates code accordingly.
Lovable: Formerly GPT Engineer. Generates full web applications from descriptions.
Bolt: StackBlitz's AI tool for building web apps in the browser.
The Numbers
In mid-2025, a Y Combinator poll found that a full quarter of startups say 95% of their codebases are now generated by AI tools.
"That tidal-wave number signals a mass departure from hand-writing every function toward simply prompting the machine and shipping results."
Why Next.js Is the Default AI Framework
The Stack v0 Uses
When you ask v0 to build something, it generates:
- Next.js App Router
- React Server Components
- Tailwind CSS
- shadcn/ui components
This isn't coincidence. It's strategic alignment.
Why This Stack?
- Convention over configuration — Less to explain to an AI
- File-based structure — Easy to navigate and modify
- Component architecture — Modular, easy to generate and compose
- Full-stack in one — API routes, database access, UI in one project
- Vercel deployment — One command to ship
Guillermo's Vision
"AI is a tool for unlocking developers' creativity. By automating boilerplate coding, AI frees developers to focus on bigger creative challenges."
His mission: expanding the pool of potential builders from 5 million developers to over 100 million people worldwide.
What AI Can Do with Next.js
Excellent At:
1. Boilerplate generation
- Complete page scaffolds
- Component templates
- API route handlers
- Database schemas and migrations
2. Pattern application
- Authentication flows
- Form handling
- Data fetching patterns
- Error boundaries
3. UI composition
- Layouts and navigation
- Responsive designs
- Component libraries
- Styling with Tailwind
4. Refactoring
- Converting Pages Router to App Router
- Class components to hooks
- JavaScript to TypeScript
Good At (With Guidance):
1. Business logic
- CRUD operations
- Validation rules
- State management
- API integrations
2. Performance optimization
- Code splitting suggestions
- Image optimization
- Caching strategies
- Lazy loading
3. Testing
- Unit tests
- Integration tests
- E2E tests (with playwright)
What AI Struggles With
Where You Must Understand the Framework
1. Rendering strategy decisions
AI can implement any rendering strategy, but it can't decide which is right for your use case. You need to know:
- When to use SSG vs. SSR vs. ISR vs. PPR
- Trade-offs of each approach
- Performance implications
2. Hydration debugging
AI can generate code that causes hydration mismatches. It often can't diagnose why. You need to understand:
- The client-server contract
- What causes mismatches
- How to fix them
3. Architecture decisions
AI will generate whatever you ask for. It won't tell you:
- Whether to use Server or Client components
- How to structure your data fetching
- When to use Suspense boundaries
- How to organize your codebase
4. Security
AI might generate insecure patterns without warning:
- SQL injection vulnerabilities
- XSS vulnerabilities
- Authentication bypasses
- Secret exposure
5. Performance at scale
AI optimizes for what you ask, not for what you need:
- N+1 queries
- Unnecessary re-renders
- Memory leaks
- Bundle size bloat
The Vibe Coder's Workflow
1. Describe, Don't Dictate
Instead of:
"Create a button component with onClick handler that calls handleClick"
Try:
"I need a button that submits a form and shows a loading state while the server processes it"
Let the AI decide implementation details. Focus on what you want, not how to build it.
2. Review Critically
Every AI-generated change should answer:
- Does this follow Next.js conventions?
- Is this the right rendering strategy?
- Could this cause hydration issues?
- Is there security risk?
- Will this scale?
3. Iterate with Context
AI tools work best with context. Provide:
- Your project structure
- Your data model
- Your constraints
- Your preferences
4. Test What Matters
AI can generate tests, but you decide what to test:
- Critical user paths
- Edge cases
- Error handling
- Security boundaries
5. Ship Incrementally
Deploy early and often. Catch issues in preview environments before production.
The Knowledge You Can't Outsource
First Principles That AI Can't Replace
1. How the web works
- HTTP request/response cycle
- Caching headers and behavior
- DNS, CDNs, and edge networks
- Browser rendering pipeline
2. How React works
- Component lifecycle
- State and props
- Reconciliation
- The virtual DOM
3. How Next.js renders
- Server vs. client execution
- Hydration process
- Streaming and Suspense
- Build vs. request time
4. How to debug
- Reading error messages
- Using browser devtools
- Understanding stack traces
- Network tab analysis
The Paradox of AI-Assisted Development
The better you understand the fundamentals, the better you can leverage AI. AI amplifies your knowledge—it doesn't replace it.
The Future: The Generative Web
Guillermo's Prediction
"We're heading towards a generative web where applications are created on demand for individual users, potentially making traditional, downloadable software obsolete."
Imagine:
- Websites generated specifically for you
- Applications that adapt to your context
- Interfaces that evolve as you use them
What This Means for Developers
You're not competing with AI. You're collaborating with it.
The developers who thrive will:
- Understand fundamentals deeply — To guide AI effectively
- Develop taste — To judge AI output quality
- Focus on problems — Let AI handle implementation
- Learn continuously — As the tools evolve rapidly
The Vibe Coder's Checklist
Before deploying AI-generated Next.js code, verify:
- [ ] Rendering strategy is appropriate for the content type
- [ ] No hydration warnings in the browser console
- [ ] Server and Client components are correctly designated
- [ ] Caching behavior matches expectations
- [ ] Error handling exists for all async operations
- [ ] Loading states provide good UX
- [ ] Security — no exposed secrets, proper auth, input validation
- [ ] Performance — bundle size reasonable, no N+1 queries
- [ ] Accessibility — proper semantics, keyboard navigation
- [ ] Mobile responsive — tested on different viewports
Key Takeaways
- Vibe coding is a new paradigm: describe what you want, review what you get
- v0, Claude Code, Cursor, and similar tools generate Next.js code by default
- AI excels at boilerplate, patterns, and UI—struggles with architecture and debugging
- Understanding fundamentals makes you a better AI collaborator
- The future is generative: applications created on demand for each user
- Review AI-generated code critically—it amplifies your knowledge, not replaces it