The Anatomy of a Lovable App

And its boundaries in enterprise software

Lovable lets you go from idea to working application in minutes. You describe what you want, and it generates a complete frontend, wires up a backend in Supabase, and hands you a shareable link.

But when the dust settles, what did Lovable actually build?

This blog post is Part 1 of a two-part technical series and focuses on the anatomy of Lovable apps: what Lovable generates, how those pieces fit together, and architectural trade-offs that start to surface once you move beyond experimentation.

In Part 2, we will build on this understanding and migrate the same Lovable app to cloud-native infrastructure (Azure/GCP/AWS). I’ll also share tips on how to structure your project from Day 1 so you don’t hate yourself later.

Throughout both posts, we’ll use a simple application called Plant Pal as a running example. The full code, containing both the original Lovable version and the migrated version, will be open-sourced.

“Plant Pal?”.. Let’s dive in.

1. The Lovable experience

At ML6, we love our offices. We have everything a trendy scale-up needs: a ping pong table, meeting rooms named after James Bond movies, a robot, and of course… plants. Lots of them.

However, our green friends are high-maintenance, and it is surprisingly hard to gauge their health just by looking at them (RIP to the plants that didn’t survive my student days).

So I do what every sensible dev in 2026 would do: open Lovable.

I start from our ML6 branding template, and after a couple of back-and-forths, I end up with Plant Pal: a tiny app that lets you upload a photo of a plant and generates an AI-powered health check. You can view plant history, but that’s it.