Lovable vs Cursor: which to use when

Cursor is an editor. Lovable is an app factory with a backend and hosting attached. If you are starting from nothing and the hard part is the interface, start in Lovable. If you already have a repository, Cursor is the only one of the two that can open it: Lovable’s Git sync is export-only, and it cannot import your code.

That asymmetry settles most of these arguments before the feature comparison starts. The rest of this post is for everyone it doesn’t settle: how the two bill you, who wires your backend, who deploys, and (the part most comparisons skip) how to run both against one repository without losing Fridays to merge conflicts. For the surrounding stack decisions, start from the Lovable integrations guide.

The short version#

• Zero to a deployed, UI-heavy app: Lovable. Frontend, database, auth and hosting from a prompt.
• Changes to code that already exists: Cursor. Lovable cannot import a repo on any of its three Git providers.
• Paying: Lovable is one credit pool covering agent messages and your deployed app’s runtime. Cursor is a flat editor subscription plus your own hosting and database bills.
• Both: common and reasonable. Give Lovable one branch, work on feature branches, merge in one direction.
• The trap: moving your editing to Cursor does not stop Cloud credits charging for a deployed app.

What each tool actually is#

Cursor is an AI-native code editor. It opens a directory, indexes it, and lets an agent read and edit files in any language. It has no opinion about your stack and provisions nothing: no database, no auth, no deployment, no domain. When the agent finishes you have a repository on disk and a deployment problem of your own.

Lovable is an app generator with infrastructure behind it. As of September 2026 it builds TypeScript with Tailwind CSS and shadcn/ui, and the framework underneath changed on 13 May 2026, which matters more than most comparisons admit. Projects created after that date are TanStack Start with per-route SSR on Cloudflare Workers, server logic as TanStack Server Functions. Older projects are React + Vite, client-rendered, deployed as static files. Nothing was force-migrated; Lovable’s blog says every project already built continues to run exactly as before.

What are you building?#

This is the axis that decides it, and it is not “beginner versus professional”.

A UI-heavy app from zero. Lovable’s advantage compounds. One prompt gets you a routed, styled, responsive frontend, and as of September 2026, Lovable Cloud (a managed backend built on Supabase’s open-source foundation) is enabled by default for your workspace. Database, auth, storage, realtime and edge functions exist before you’ve decided anything about them. In Cursor the same starting point is a scaffold command, a database signup, an auth library, a schema, and a stack of plumbing before you see a screen.

Changes to an existing codebase. Lovable is not a candidate. Its docs list importing existing GitHub repositories under unsupported features, and the Git sync overview repeats it: connecting a project always creates a new repository. There is no bring-your-own-repo path on GitHub, GitLab or Bitbucket Cloud. The only way in is to paste your code into a prompt and let the agent rebuild it, which is a rewrite.

Backend-heavy work. Lovable will write SQL, generate edge functions and wire Stripe through code that reads a stored STRIPE_SECRET_KEY, competently. But schema design, row-level security policies and webhook signature verification are work where editing files directly beats describing changes in chat, and where per-message billing punishes iteration hardest.

Anything that isn’t a TypeScript web app. Lovable builds one kind of thing. Cursor does not care.

How you pay#

The two models are not comparable line for line; the difference is structural. Lovable uses one unified credit pool covering three kinds of usage:

1. Build usage: messages you send to Lovable’s agent to plan, generate or edit your app.
2. Cloud usage: database, network, storage, compute and realtime in your deployed app.
3. AI Gateway usage: model calls your deployed app makes at runtime.

That second item is the one people miss: your hosting bill is denominated in the same credits as your AI coding. Charges are per message, however many files it edits. Plan mode is 1 credit per message plus research, Build mode is documented at roughly 0.50–2.00+ credits for typical tasks. One well-scoped message touching twelve files is a single charge.

Rollover has two classes. Usage-specific grants (5 build credits per day, 20 Cloud per month, 4 AI per month) never roll over; general plan credits do, but expire two months after issue on monthly plans. Top-ups are $0.30 per credit on Pro and $0.60 on Business. Several third-party pricing blogs quote $0.25 and $0.50, which is wrong. Pro runs $25 to $2,250/month and Business $50 to $4,300/month across identical 100-to-10,000-credit tiers, the difference being governance features rather than credits. Free has no in-editor code editing and no ZIP download, but Git sync to github.com is included on all plans, so the hybrid is still available: connect, clone, and do the editing in Cursor.

Cursor bills as a flat editor subscription, with tiers that change often enough to read their pricing page rather than a blog. What matters here is what it doesn’t include: hosting, a database, object storage and any runtime AI are separate invoices. More line items, usually more predictable ones.

Backend and deployment#

Lovable Cloud is a managed backend with no separate account: tables, security policies, backups, SQL, users, storage buckets, secrets, scheduled jobs, edge functions and logs all live in the Lovable editor. You do not get a Supabase account, organization, project or dashboard, despite Cloud being built on Supabase’s open-source foundation.

The catch is worth reading twice: there is no one-click migration between Lovable Cloud and your own Supabase, in either direction. The only Cloud-to-Supabase path in the docs is manual: export your data, create a new Lovable project, connect a Supabase project to that one, rebuild the schema. Supabase-to-Cloud is unsupported, and remixing a Cloud project just produces another Cloud project. Effectively this is a decision you make once, at project creation: link your own Supabase organization to the workspace up front, which is also what makes a later move to Cursor cheap. See moving off Lovable.

Deployment is where the two stop overlapping entirely. Lovable publishes to a managed URL with automatic HTTPS from global edge locations, and its hosting docs state plans do not cap visitors, requests or bandwidth. Publishing is snapshot-based: post-publish edits do not reach the live site until you republish, and there is no separate staging environment, though the September 9, 2026 changelog added Drafts, project copies you can test before merging. Cursor deploys nothing. You bring Vercel, Cloudflare, Netlify or your own pipeline, and you own the CI.

Which to pick, by scenario#

Using both: the git sync, and its one real constraint#

Most people who ask “Lovable or Cursor” end up using both: build the frontend in Lovable, connect Git sync, clone, do the substantive work in your editor. Lovable with Claude Code and Codex covers the agent-side setup and Lovable GitHub sync the connection itself. Two facts determine whether it works.

There is no “Export to GitHub” button. The action is called Connect, and the docs describe it as export and two-way sync.

Sync is two-way, one branch at a time. Changes in Lovable flow to your repository and commits pushed to the active branch flow back, but Lovable only edits and syncs one branch, defaulting to the repository’s default, and only that branch flows back. You cannot switch or create branches while Lovable is actively editing, and a branch created from Lovable is cut from the currently active branch.

That dictates the discipline:

1. Name Lovable’s branch and write it down. Everyone needs to know which branch is hot.
2. Never have both tools writing to it at once. This is the whole rule. Collisions cluster in the files both tools touch: package.json, route definitions, generated components and config.
3. Do Cursor work on feature branches off Lovable’s, then merge in. Your branch is invisible to Lovable until it lands on the synced branch, which is a feature: Lovable sees one reviewed merge instead of a stream of intermediate commits.
4. Pull before starting a Lovable session. Confirm Lovable’s branch has your merge and that Lovable is not mid-edit.
5. Review the bot’s commits as commits. They are authored by lovable-dev[bot] and co-attributed to whoever triggered the sync, so git log --author=lovable-dev isolates everything the agent wrote.
6. Know where failed pushes go. When Lovable can’t push (branch protection, conflicts) it pushes to a branch named lovable-sync instead. That is the first place to look for work that appears to have vanished.

Two more mechanics. Pushing commits does not update your live published site: publishing is a separate action. And Git sync supports GitLab (including self-managed) and Bitbucket Cloud as well as GitHub.

The credit meter does not stop when you leave the editor#

Here is what makes hybrid setups cost more than people plan for. Moving your editing to Cursor eliminates Build usage and does nothing to the other two.

If your app is still published on Lovable hosting with Lovable Cloud behind it, then database, network, storage, compute and realtime usage keep drawing from the same credit pool, and so does any AI the deployed app calls at runtime. The monthly grants are small (20 Cloud credits and 4 AI credits) and they do not roll over. A polling job, a realtime subscription that never idles, or a re-render loop in your frontend keeps the meter running whether you last touched the code in Lovable or in Cursor.

When the pool empties: building stops, AI features in your deployed app fail, and backend services pause. Data stays safe, but a live app backed by Cloud can degrade because nobody topped up: worth a line in the runbook if your team has moved to Cursor and stopped thinking about Lovable. One honest gap: the docs define Cloud usage in terms of deployed apps and don’t say how a local dev server pointed at the same Cloud backend is metered. Assume it counts, and watch the number for a week after you start developing locally.

To actually stop paying Lovable you have to move all three layers: editing, hosting, backend. Moving one or two is a workflow choice; it won’t save much.

When you outgrow Lovable#

The frontend is portable, and that part is real: TypeScript, React, Tailwind and shadcn/ui, with Lovable’s ownership docs pointing at AWS, GCP, Azure, Kubernetes, Docker, Netlify and Cloudflare Pages as targets. Downloading your code and running it locally are solved problems.

Your backend is the lock-in surface. Lovable’s own docs concede that migrating to plain PostgreSQL “would require implementing equivalent authentication, storage, and edge services and is not supported out of the box”, because generated apps depend on Supabase-specific auth, storage, realtime and edge functions. The editor and agent are a managed service and cannot be self-hosted or run in your VPC. So “can I leave?” has a different answer per layer: see self-hosting a Lovable app.

One thing to do before you graduate a project to Cursor: if it is still React + Vite and you intend to host it yourself, run the TanStack Start upgrade first. It is triggered from chat, costs credits, is reversible from version history, and it moves route rendering into your code, so the shell renders wherever you host it. It does not replace what Lovable’s pre-renderer did for client-fetched data: anything your components query after mount is still missing from the HTML, on Lovable hosting and on your own. Check a page with dynamically loaded content with curl after the upgrade. Lovable’s docs warn that browser-only libraries can break server rendering in ways the upgrade’s checks miss, so test afterwards.

What to do next#

1. Open package.json. Which stack you’re on changes what a move off Lovable hosting costs you.
2. Connect Git sync now, before anything breaks. You can never import later, and a repo you already hold is leverage.
3. Write down which branch Lovable owns, and tell everyone. That one sentence prevents most hybrid-workflow pain.
4. Measure Cloud credit consumption over a full week before assuming a partial move to Cursor saves money. Build usage is usually not the bulk of it.
5. Starting fresh, and there’s any chance you’ll leave? Link your own Supabase organization at creation. There is no migration path afterwards, in either direction.