Service: AI to Production (Vibe Coding)
Turn AI-Generated Code into Real Products
You used Cursor/Claude/v0 to prototype fast. But the code is buggy, slow, and can't be deployed. We fix it. Professional engineering for AI-generated projects.
The AI Code Generation Reality Check
What You Probably Have Right Now
- Bugs Everywhere: Works in demo, breaks in production
- Terrible Performance: Loads slowly, crashes with real data
- Can't Deploy It: No idea how to actually host it
- Security Issues: SQL injection, XSS, exposed API keys
- Spaghetti Code: Impossible to maintain or add features
- No Documentation: You have no idea how anything works
What You'll Have After We're Done
- Actually Works: Tested, debugged, production-ready
- Fast & Optimized: Handles real traffic and data
- Deployed & Live: On Vercel/Cloudflare, actually works
- Secure: No vulnerabilities, proper auth, safe data
- Clean Code: Maintainable, can add features easily
- Documented: Clear docs, you understand the system
What is AI to Production?
You're not a developer, but you had a great idea. You used Cursor, Claude, or v0 to generate a prototype. It works... sort of. But it's not ready for real users. That's where we come in.
We're Gen Z developers who actually understand AI tools. We use them daily. We know their strengths and weaknesses. We take your AI-generated prototype and transform it into a professional, production-ready product.
Perfect for: Non-technical founders, solo entrepreneurs, or businesses who prototyped with AI but need professional engineering to launch.
Timeline: 2-4 weeks for most projects
Investment: $12,000 - $30,000 (depends on complexity)
Payment: 30% deposit, 30% at midpoint, 40% on completion
What's Included:
- Code Audit & Cleanup: Review AI-generated code, identify bugs, refactor spaghetti code into clean, maintainable architecture.
- Bug Fixes & Testing: Fix all bugs, add comprehensive testing (unit tests, integration tests), ensure it actually works with real data.
- Performance Optimization: Optimize database queries, add caching, reduce bundle size, improve load times. Make it fast.
- Security Hardening: Fix XSS/SQL injection vulnerabilities, implement proper authentication, secure API endpoints, handle secrets properly.
- Deployment Setup: Deploy to Vercel/Cloudflare/AWS, set up CI/CD pipeline, configure domain, SSL certificates, monitoring.
- Documentation & Training: Write clear documentation, create architecture diagrams, train you on how to maintain/update the system.
- 30-Day Support: After launch, 30 days of bug fixes and support included. We make sure it stays working.
How We Turn Vibe Coding into Reality
2-4 week process from broken prototype to live product
Week 1: Audit
Deep code review. Identify all bugs, security issues, performance bottlenecks. Document current state. Define scope of work. Set expectations.
Week 2: Rebuild
Fix bugs, refactor code, add tests. Implement security fixes. Optimize performance. You'll see daily progress updates.
Week 3: Deploy
Set up hosting, CI/CD pipeline, monitoring. Deploy to staging for your review. Fix any remaining issues. Prepare for production launch.
Week 4: Launch
Final testing. Documentation handoff. Production deployment. Training session. 30 days of post-launch support to ensure smooth operation.
Why AI-Generated Code Needs Professional Engineering
AI Doesn't Understand Context
Cursor/Claude generates code based on patterns, not understanding. It doesn't know your business logic, edge cases, or real-world constraints. Result: Code that works in simple demos but breaks with real users and data.
Security is Often Ignored
AI code rarely includes proper security. SQL injection, XSS vulnerabilities, hardcoded secrets, no input validation. One security breach can destroy your business. We secure everything properly.
Performance Isn't Optimized
AI generates functional code, not optimized code. N+1 queries, no caching, massive bundle sizes, memory leaks. Your app is slow and can't scale. We optimize for real-world performance.
The Truth: AI tools like Cursor and Claude are amazing for rapid prototyping ("vibe coding"). But taking prototypes to production requires professional engineering. That's our specialty.
Real Projects We've Shipped
SaaS Analytics Dashboard (3-Week Turnaround)
- Client's Situation: Used v0 to generate dashboard UI
- Problems: Slow queries, no auth, couldn't deploy
- Our Work: Optimized DB, added Clerk auth, deployed to Vercel
- Outcome: Live product, 500+ paying users in first month
E-commerce Platform (4-Week Rebuild)
- Client's Situation: Used Cursor to build online store
- Problems: Cart bugs, payment failures, terrible mobile UX
- Our Work: Fixed cart logic, integrated Stripe, optimized mobile
- Outcome: $50k in sales first month, zero cart abandonment issues
AI to Production Pricing
Clear, Project-Based Pricing
Fixed prices based on scope. No hourly billing surprises.
MVP Cleanup
$12,000 /project
For simple prototypes that need professional polish
- Code audit & cleanup
- Bug fixes & testing
- Basic security hardening
- Performance optimization
- Deployment to Vercel/Cloudflare
- Basic documentation
- 30 days post-launch support
- 2-3 week timeline
Full Production Build
$24,000 /project
For complex projects that need complete professional engineering
- Comprehensive code refactoring
- Complete test coverage
- Enterprise-grade security
- Advanced performance tuning
- Custom deployment & CI/CD
- Comprehensive documentation
- Team training session
- 60 days priority support
Why Choose Us
Why We're Perfect for AI-Generated Projects
We Actually Use AI Tools Daily
We're Gen Z developers. We use Cursor, Claude, and v0 every day. We understand their strengths and limitations.
Real Engineering Expertise
6 years of professional development experience. We know how to build production systems that scale.
Security-First Approach
We audit for OWASP top 10 vulnerabilities. Proper auth, input validation, secret management. Your users are safe.
Performance Optimization
We optimize database queries, implement caching, reduce bundle sizes. Fast load times, smooth UX.
30-40% Better Value
Based in China serving global clients. Same quality as US agencies, significantly lower prices.
Fast Turnaround
Most projects done in 2-4 weeks. We move fast because we understand AI-generated code patterns.
Frequently Asked Questions
What if my code is a complete mess? Will you still take it?
Yes. We've seen it all. We've cleaned up projects with 1000+ bugs, terrible architecture, and zero documentation. If it can be saved, we'll save it. If it can't, we'll tell you honestly and recommend starting fresh (usually cheaper than fixing unfixable code).
How do you price projects? What determines $12k vs $30k?
Factors: (1) Codebase size and complexity, (2) Number of bugs and security issues, (3) Features that need to be added, (4) Deployment complexity, (5) Timeline requirements. Process: You share your code, we audit it (free), then provide fixed-price quote. Most projects: $12-18k. Complex enterprise apps: $24-30k.
Can you add new features, or just fix existing code?
Both. Our core service is making existing AI-generated code production-ready. But we can add new features too - that's included in the Full Production Build tier, or we can quote it separately. Most clients: fix existing code first, then add features in a second phase.
What AI tools do you work with?
All of them. Cursor, Claude (Code and Sonnet), v0, GitHub Copilot, ChatGPT, Windsurf, Bolt.new, etc. We're AI-native developers - we stay on top of all the tools. Doesn't matter which tool generated your code, we can clean it up.
What if I want ongoing support after the 30 days?
We offer monthly retainers for ongoing maintenance and feature development. Typical range: $2k-5k/month depending on scope. This includes bug fixes, feature additions, performance monitoring, and priority support. Many clients start with the one-time cleanup, then add a retainer.
Ready to Turn Your AI Prototype into Reality?
Stop struggling with buggy AI-generated code. Get professional engineering to launch your product properly. Schedule a free 15-minute discovery call.
