Vibe Coding in Production: How a 3-Person Dev Team Rebuilt Two Products (and Replaced Half Our Saas)
There are two kinds of vibe coding articles on the internet right now.
The first kind is written by people who built a to-do app over a weekend and declared software engineering dead. The second is written by engineers who reviewed one AI-generated codebase, found the exposed API keys, and declared vibe coding a menace.
Both are describing the same failure: putting AI-generated code in the wrong layer of the stack.
This article is about the pattern that works. We've been running it in production for over a year at Loop Fans across two consumer products, a blockchain wallet layer, and a growing pile of internal tools. It let us go from 20 developers to 3 while shipping faster than we ever have. I'll cover the architecture, the MCP server layer that ties it together, the failure modes we hit, and the playbook if you want to run it yourself.
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