⚡ Need help getting your AI prototype to production? Contact us today for a consultation.
CCMComputing
Production-Ready Engineering

You built your MVP with AI. Let's make it Production-Ready.

AI tools like v0 and Lovable are incredible for building prototypes quickly. But when real users start hitting your app, massive state management files, flat databases, and unoptimized queries will break it. I transform fragile AI codebases into scalable, secure, enterprise-grade architecture.

The Challenge

Hitting the AI "Scale Wall"

Prototypes are great for validation, but they aren't engineered for traffic. Watch out for these three critical scaling bottlenecks:

The UI is lagging

Your React components have bloated, state is unmanaged, and rendering is slow. Single component files span thousands of lines, triggering massive, redundant re-renders for simple input clicks.

Database Anxiety

You are using flat Supabase tables with zero Row-Level Security, exposing user data. Without proper foreign keys, database constraints, or backend validations, data leaks are just a query away.

Cloud Bill Risks

You have no API rate limiting, leaving your infrastructure open to massive, unpredicted cloud billing spikes. Malicious actors or poorly optimized frontends can query expensive LLM pipelines repeatedly.

Our Framework

The 2-Week Production Transition

A fast, structured overhaul that retains your features while upgrading security, stability, and scale.

1

Audit & Clean

Decoupling spaghetti code into maintainable React/Next.js components. We analyze the AI-generated architecture, extract repeated code, isolate state, and structure elements logically.

2

Database Hardening

Implementing strict relational schemas and Row-Level Security (RLS) in PostgreSQL/Supabase. We build proper migrations, schema constraints, indexes, and authenticate database policies.

3

Security Audit

Securing API endpoints and removing exposed client-side keys. We move sensitive keys into server env files and route external calls through secure edge proxies/workers.

4

CI/CD & Hosting Setup

Deploying to a professional, automated pipeline on Vercel/AWS. We construct standard git workflows, testing checks, environment configurations, and edge caching.

Not ready for a full transition?

Hardening a codebase yourself takes patience. Check out my completely free guides to start fixing security, React performance, and database architectures.