Optimized for speed, AI and no-code tools can help you vibe code a prototype in days. The challenge is taking it to production, where it must remain reliable under real-world conditions. This requires a scalable architecture and secure infrastructure with proper testing and observability in place.

In this article, we’re sharing our experience migrating vibe-coded apps to back-end infrastructure using AWS as an example. Find a step-by-step guide to help you transition to production without any bottlenecks.

1. Define Your Database Structure

Before doing any migrations, you should map out how your data translates into production-grade storage and schemas in AWS. For example:

Users table → RDS (PostgreSQL)

Cache → Redis

Images → S3

Vibe-coded apps often have mixed logic and inconsistent data formats. So you might need to normalize data by defining entities and relationships and removing implicit structure from code.…