Lovable → production architecture
Your Lovable app works.
Its architecture never existed.
Lovable generated your entire codebase one prompt at a time, and nobody — human or model — ever designed how it fits together. Now each new feature costs more than the last, and the agent that wrote the app can't untangle it. useDeploy gives your product the backend architecture it never had: bounded modules, boundaries enforced in CI, and typed contracts. You keep the front-end users validated; the spaghetti is what goes.
Why Lovable apps rot from the inside
Lovable doesn't degrade a codebase — it generates one that was never structured to begin with. Every prompt appends code wherever the model finds convenient: business rules inside components, database calls next to click handlers, duplicated helpers because the model can't see the five it already wrote. Builders describe the same arc every time — "by prompt 50 it's spaghetti" (aiboilerplate.dev). And unlike a human mess, this one has no thread to pull. Human developers leave consistent patterns you can learn and refactor against; as one Hacker News commenter put it, LLM code "has none of that, if yes its by pure chance that won't repeat" (news.ycombinator.com). While the app is small, none of this hurts. The day you have real users and need to change pricing or fix a permissions bug, you discover there is no place where anything lives — only places where things ended up.
Symptoms your Lovable app already has
Prompt 51 breaks prompts 12 and 34
Ask for one change and features you shipped weeks ago quietly stop working. Nothing isolates anything, so every edit's blast radius is the whole app.
The same fetch, pasted nine times
Lovable can't see the helpers it already wrote, so every screen re-implements the same query with slightly different filters. Fixing the bug means finding all nine copies — and you'll find seven.
Nobody knows where pricing lives
Plan limits are checked in the UI, assumed in a webhook, and hardcoded in two components. Change one and the others silently disagree.
Frontend and backend share a file
Rendering, auth checks, and data writes sit in the same component. There's no line the model won't cross, because no line was ever drawn.
You've stopped asking for changes
The clearest symptom: you avoid touching working features because you can't predict what a prompt will take down with it.
What real structure looks like
In useDeploy, every capability is a bounded module with four layers, and the layering isn't a diagram in a README — it's a rule the build enforces. ESLint flat-config bans domain code from importing Express, Prisma, or anything from the infrastructure layer; an agent (or a tired human) that crosses the line gets a failing CI run, not a slow rot. This tree is the whole mental model: when you ask 'where does X live?', the directory answers.
1 apps/server/src/modules/
2 ├── iam/ # auth, sessions, users
3 │ ├── domain/ # business rules — no I/O
4 │ ├── application/ # use cases + ports
5 │ ├── infrastructure/ # Prisma repos, adapters
6 │ └── interfaces/http/ # routes + Zod schemas
7 ├── tenancy/ # orgs, members, invitations
8 ├── billing/ # plans, providers, webhooks
9 ├── storage/ # uploads + storage adapters
10 ├── ai/ # LLM provider, streaming
11 └── webhooks/ # signed outgoing delivery
What's already structured for you
Boundaries that fail the build
DDD layering enforced by ESLint flat-config: domain code can't import express, @prisma/client, or infrastructure. Cross the line and CI goes red — it's a wall, not a convention.
Contracts that catch payload drift
Zod schemas shared through @app/contracts, a typed openapi-fetch client, and an api-types-fresh CI gate that fails when server and client disagree — on actual payloads, not just types.
Six bounded contexts on day one
iam, tenancy, billing, storage, ai, and webhooks each live in their own module, split into domain, application, infrastructure, and interface layers.
450+ tests and an E2E gate
A regression suite plus a Playwright end-to-end gate in CI. 'It still works' is something the pipeline proves, not something you hope.
Side effects out of the handlers
An event bus with a durable outbox: emails, webhooks, and syncs are dispatched reliably instead of living inline in route handlers.
Docs the agent actually reads
An operative CLAUDE.md plus architecture docs at /docs, so every prompt starts from the repo's rules instead of the model's defaults.
The migration path: keep the front, rebuild the back
You don't have to throw away what worked. The front-end Lovable produced is usually the genuinely validated part — real users clicked it — and it's React, so it travels. Export your code, keep the screens, and rebuild the backend on useDeploy instead of untangling what Lovable improvised. Auth, organizations, billing, and uploads already exist as tested modules, which shrinks the job to one task: moving your product's actual business logic — a fraction of the generated code — into bounded contexts where it finally has an address. Go route by route: pick a screen, repoint its data access at the typed API client, delete the improvised backend it used to lean on. Every route you move shrinks the spaghetti and grows the part of your app that CI actively defends.
Questions from Lovable builders
Can I keep the front-end Lovable built?+
Isn't this just the rewrite everyone warned me about?+
Can I keep building with AI afterwards?+
I'm not a backend developer. Can I actually do this?+
One license. Two ways to own it.
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Give your app the architecture it skipped
useDeploy is a Bun + Express + Prisma + Next.js SaaS base with DDD boundaries enforced in CI. Auth, orgs, and billing are already built — your agent builds features inside walls it can't cross.