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. This will add clarity and structure to your database.…