Why these three
Most of what an AI agent writes is fine to merge after a look. The changes that hurt sit in a small part of the app: a payment webhook, a sign-in check, a table rule, a migration. A mistake there usually breaks nothing you can see.
When I ran LaunchGuard’s Supabase scanner on about 100 revenue-generating apps in March 2026, half of them had sensitive data publicly readable.
The same review I run in production
I run this review for a client whose platform has been in production with paying operators since May 2026; €100k has gone through its payments so far. The owner builds features himself with an AI agent, and every pull request that touches the database, payments or metering waits for my review before it merges.
What your stack needs
Your code on GitHub in your own account. I know React, Next.js and Vite, Supabase (Postgres, table rules, Auth, Edge Functions, migrations), Stripe and Vercel well. If your app runs on something else, ask first and I will tell you straight whether I can review it.
How it starts
- You send the short form: your repository, your stack, and what worries you.
- I reply with whether I can review your stack, a start date and how to pay.
- You add me to the GitHub repository. I map the files and set the review rule.
- From then on, every pull request that touches payments, authentication or the database waits for my review.