Lovable vs Cursor: Who Owns Your App's Stack

Pick Lovable if you want a working web app without owning any infrastructure. Pick Cursor if you already have a codebase, or want one, and are happy to decide where it runs. Lovable owns the whole stack for you: hosting, database, auth, storage. Cursor owns nothing but the code you point it at.

That one difference explains most of what you'll read in other comparisons, including the most common real-world answer, which is "both, in that order":

• Lovable generates the app, hosts it, and runs its backend. You steer mostly by chat.
• Cursor is an AI editor and coding agent working on a repository. Where the app runs is your call.
• The handoff — start in Lovable, sync to GitHub, keep building in Cursor — works, but the backend stays where Lovable put it. Most of the surprises live there.

One piece of news first: Cursor is now owned by SpaceX. The acquisition completed on August 14, 2026. The product is still an editor and agent working on your code.

Quick comparison

The real difference: what each one owns

Lovable owns the stack

Per Lovable's Cloud documentation, Lovable hosts your app and includes a built-in backend with a database, authentication, storage, edge functions and AI. It's on by default. Ask for a login page and Lovable turns on the backend, creates the tables, and wires up sign-in for you.

The backend is built on Supabase's open-source foundation. You can also connect your own Supabase project instead, if you want your own account, your own billing and the full Supabase dashboard.

This is why non-technical founders get a working product out of Lovable: the steps where projects usually die (choosing a database, configuring auth, deploying) don't exist.

The cost shows up in the docs too. There is no one-click migration between Lovable Cloud and your own Supabase, in either direction, so Lovable's own advice is to pick a backend early. And once Cloud is on, you can't change the region your data lives in.

Cursor owns your repo, and nothing else

Cursor's documentation describes it as a coding agent for understanding a codebase, building features, fixing bugs and reviewing changes. Its agent reads files, edits them and runs terminal commands. Cloud agents do the same in isolated VMs, clone your repo from GitHub, GitLab, Azure DevOps or Bitbucket, and push a branch back when they're done.

Notice what's missing: Cursor doesn't host your app, run your database, or handle your users' logins. You bring those, or the code you write does. Cursor has started on the hosting side with Origin, its own Git forge, but that stores code, not running apps, and it's in early beta.

So with Cursor nothing is decided for you, and you have to decide everything.

The billing follows the same line

Lovable uses one credit balance for building the app and running it. That covers chat and build messages, plus hosting, backend usage, and the AI calls your deployed app makes. Your app's running costs and your development costs come out of the same pool.

Cursor's plans pay for model usage. Its pricing documentation splits that into two usage pools on its Pro, Pro Plus and Ultra plans: Cursor Models, which covers Composer and the Grok models, and Other Models, for third-party models at API rates. Hosting your app is a separate bill from whoever runs it, because Cursor doesn't.

Neither model is better. They just tell you what each company is responsible for.

Where they've converged

The old framing — "Lovable for people who can't code, Cursor for people who can" — is less true than it was.

Lovable lets you edit code directly. Its code editor lets you browse files, make manual edits, and point the chat at exact lines. Editing is a paid-plan feature; on the Free plan the editor is read-only. Manual edits don't use credits, according to the same page.

Cursor lets you edit by clicking. Design Mode lets you click an element in your running app, draw on the page or describe a change by voice, and the agent edits the code behind it. Lovable has a similar edit-from-preview toolbar.

Both have plan modes, both have agents that can test what they built, and both talk to Git. The difference that hasn't moved is the one this article is about: one hosts and runs your app, the other doesn't.

The Lovable-to-Cursor workflow, step by step

This is the workflow most people searching "lovable vs cursor" actually end up using. Lovable gets you to a working app fast; Cursor takes over when changes get too fiddly to describe in chat. Lovable's Git sync guide treats it as a supported path, and it's specific about the details.

1. Choose your backend before you build much. Lovable Cloud or your own Supabase. Moving from Cloud to your own Supabase later means exporting data and rebuilding the schema, and moving from Supabase to Cloud isn't supported at all.
2. Connect GitHub from Lovable. Lovable creates a new repository (private by default) and starts two-way sync. It only works in that direction: you can't import an existing GitHub repo into Lovable.
3. Wait for "In sync," then clone. Let any Lovable edit in progress finish, check the sync status card, then clone the repo and open it in Cursor.
4. Work on a feature branch. Lovable edits and syncs one branch at a time, usually main. Keep your Cursor work on a separate branch and merge when it's ready. Don't force-push, rebase or squash commits already on the synced branch — Lovable's copy gets replaced and edits made only in Lovable can be lost.
5. Treat your local app as production data. The repo's .env points at your real Cloud backend. Records you create or delete locally change live data. A Git branch does not give you a separate database.
6. Expect some calls to fail locally. For apps created from May 13, 2026 (built on TanStack Start), server code runs on your machine, so calls through Lovable's connectors and Lovable AI fail locally. Test those in Lovable's preview or the published app.
7. Deploy backend changes through Lovable. If you commit a new edge function or migration file from Cursor, Lovable doesn't deploy or run it on sync. Ask Lovable in chat to deploy the function, or run the SQL yourself.
8. Publish again. Merging your branch doesn't change the live app. Publish from Lovable when you're ready.
9. Tell each tool what the other did. Lovable treats your code like its own and may rewrite it on a later request. Lovable's docs suggest putting constraints in project knowledge and covering them with tests. On the Cursor side, the same constraints go in project rules or AGENTS.md.

If conflicts happen anyway — say, a protected main or commits on both sides — Lovable pushes its work to a lovable-sync branch rather than losing it, and you merge that by hand.

Leaving Lovable entirely

Some teams go further and move the whole app out. Lovable has a guide for deploying and hosting outside Lovable. Two details matter:

• Newer apps need a server, not a file host. TanStack Start apps run server-side code, so copying static files to a CDN isn't enough.
• The Cloud data export is only the database. Storage files, edge function code and secrets aren't in it, so you move those separately. Sign-in provider settings need setting up again at the destination.

Once you've left, Cursor is a normal editor working on a normal repository. But "the code is on GitHub" and "the app runs without Lovable" are two different milestones. Budget for the second one.

Which should you pick

A quick rule: if you'd rather never think about hosting, start in Lovable. If you already think about hosting, start in Cursor.

If you're comparing app builders against each other, Lovable alternatives covers v0, Bolt, Replit and the rest. If you're weighing Cursor against other coding agents, see Cursor alternatives, or Cursor vs Codex for the closest head-to-head. And if the term "vibe coding" is new, what is vibe coding explains it.

When you don't need to build anything

Both tools start from the same place: you have an idea and you're going to build it. A lot of people don't actually need that. They've seen an AI app or workflow someone else already got working, and they just want to run it.

That's the gap Taku is built for. It isn't an app builder or a code editor. Taku mirrors an AI setup someone already got working into a desktop workspace where you can run it, edit it for your own work, and save it. Taku is in Beta, and the Mac app is available now.

FAQ

Is Lovable better than Cursor?

They're built for different jobs. Lovable is better at getting a non-developer from an idea to a hosted web app with a backend. Cursor is better at working on a real codebase, any language, hosted anywhere. Picking the "better" one depends on whether you want the infrastructure decided for you.

Can I move a Lovable project into Cursor?

Yes. Connect the project to GitHub from Lovable, clone the repository, and open it in Cursor. Changes you push to the synced branch come back into Lovable. The backend stays on Lovable Cloud or your Supabase project unless you migrate it separately.

Can I import my Cursor project into Lovable?

No. Lovable's GitHub docs say it can only export to GitHub. It doesn't import an existing repository. Going Cursor-to-Lovable means rebuilding in Lovable.

Does Lovable use Supabase?

Its built-in backend, Lovable Cloud, is built on Supabase's open-source foundation. You can also connect a Supabase project you own instead. There's no one-click switch between the two later.

Will editing in Cursor use my Lovable credits?

Per Lovable's docs, editing and committing on your own machine doesn't use Lovable credits. Calls your local app makes to your Cloud backend or through Lovable's AI gateway still count as usage. Cursor's own model usage is billed by Cursor.

Who owns Cursor now?

SpaceX. Cursor announced on August 14, 2026 that the acquisition was complete. Cursor still supports models from several providers, including Anthropic, OpenAI and Google.

Isn't Lovable's own comparison page the answer?

Lovable publishes a Lovable-vs-Cursor guide. It's useful, but it's the vendor's view. The fairer test is to try both on the same small project for a day.