You will get AI-Generated Code Audit — Next.js / Supabase / Vercel production review
Project details
Your SaaS was built fast with AI — Cursor, Bolt, v0, Lovable, Claude. It works. But something feels off: auth flows that break under edge cases, Supabase queries with no RLS, secrets exposed client-side, a codebase nobody on your team fully understands.
I run a full audit of your AI-generated Next.js / Supabase / Vercel stack and hand you a prioritized report you can act on — or I can act on it for you (Standard / Advanced tiers).
What you get:
• A 15–40 page PDF report covering Security, Architecture, Performance, Data Layer, Auth, DX, and Deployment
• Severity-ranked findings (Critical / High / Medium / Low) with code snippets
• Concrete before/after fixes for the top issues
• A prioritization matrix so you know what to ship this week vs next quarter
• 1 revision round to refine focus after you review
I'm a senior full-stack engineer specialized in AI-augmented SaaS. I've shipped production systems on Next.js 15, Supabase, pgvector, LangGraph, Stripe, and Vercel — and I've rescued vibe-coded codebases that were 1 day from a security incident.
Async-first. Clear communication. Receipts, not vibes.
I run a full audit of your AI-generated Next.js / Supabase / Vercel stack and hand you a prioritized report you can act on — or I can act on it for you (Standard / Advanced tiers).
What you get:
• A 15–40 page PDF report covering Security, Architecture, Performance, Data Layer, Auth, DX, and Deployment
• Severity-ranked findings (Critical / High / Medium / Low) with code snippets
• Concrete before/after fixes for the top issues
• A prioritization matrix so you know what to ship this week vs next quarter
• 1 revision round to refine focus after you review
I'm a senior full-stack engineer specialized in AI-augmented SaaS. I've shipped production systems on Next.js 15, Supabase, pgvector, LangGraph, Stripe, and Vercel — and I've rescued vibe-coded codebases that were 1 day from a security incident.
Async-first. Clear communication. Receipts, not vibes.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,299
|
Standard
$1,999
|
Advanced
$2,999
|
|---|---|---|---|
| Delivery Time | 5 days | 4 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 15 | 25 | 40 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Extra 60-min technical handoff call
(+ 2 Days)
+$199
Priority slot — start within 48h
+$299Frequently asked questions
About Gustavo
AI Engineering & Vibe Code Rescue for SaaS | Next.js, Supabase, RAG
Belo Horizonte, Brazil - 9:16 am local time
Most SaaS founders today ship fast with Cursor, Bolt.new, v0, or Lovable — then hit a wall when the code breaks in production. Auth loops. Leaked API keys. Unscalable Supabase schemas. RAG that hallucinates. That's where I come in.
I'm Gustavo, founder of Kactuz. I've spent 5+ years building production SaaS backends, and today I run two focused services for founders who outgrew vibe coding:
🩺 VIBE CODE RESCUE
For founders with AI-generated codebases that need to survive real users:
• Vibe Code Audit — Full technical review of your AI-generated repo (security, architecture, scalability). Delivered in 3–5 days with a prioritized action plan.
• Rescue Sprint — Hands-on refactor of the 3–5 most critical issues (auth, DB schema, API security, deploy pipeline). 1–2 weeks.
• Build Sprint — Full-stack MVP from zero to production in 4–6 weeks. Next.js + Supabase + Stripe + AI, built the right way from day one.
🤖 AI ENGINEERING
For teams that need AI features that actually work in production:
• RAG systems (pgvector, Pinecone, Qdrant) with real evaluation pipelines
• AI agents & copilots (OpenAI, Anthropic, LangChain, LangGraph)
• LLM integrations that handle cost, latency, and hallucinations seriously
• Custom internal tools powered by AI (document extraction, classification, summarization)
🛠 STACK I LIVE IN
Next.js 15 · TypeScript · Node.js · Supabase · PostgreSQL · Stripe · OpenAI / Anthropic APIs · LangChain · Vercel · Railway · Turborepo
🎯 WHO I WORK BEST WITH
• SaaS founders shipping with AI tools who need a senior engineer to stabilize/scale
• Early-stage startups that need a real backend architect (not another vibe coder)
• Teams adding AI features and want them done right the first time
⚡ HOW I WORK
Async-first. Clear scope. Fixed deliverables. No bloated meetings. You get production-grade code, documentation, and a Loom walkthrough of every major change.
If your AI-generated app is breaking — or you want it built right from the start — send me a message with your repo or context. I'll reply within 12 hours with a clear next step.
Let's turn your prototype into production.
Steps for completing your project
After purchasing the project, send requirements so Gustavo can start the project.
Delivery time starts when Gustavo receives requirements from you.
Gustavo works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff
Day 0-1: You answer the intake questions and share repo access. I confirm scope and kick off the audit.
Deep Code Review
Day 1-4: I audit the repo using a structured checklist — security, RLS, auth flows, architecture, performance bottlenecks, DB schema, DX, CI/CD, and deployment configuration.