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Comparisons

How code-anything compares.

Side-by-side comparisons with the tools people actually weigh us against — including, on every page, the honest case for choosing the other one.

no straw men · no invented limitations · a real “choose them instead”

Start here

How to read these comparisons

What we hold ourselves to on these pages, what we optimise for, and how to get a real answer rather than a marketing one.

Comparison pages have a bad reputation, and mostly they have earned it. The usual recipe is a table where one column is written in the vendor’s best language and the other in vague, faintly disparaging shorthand, followed by a conclusion nobody could have failed to predict. We have tried to write the opposite of that, and the constraints are worth stating plainly so you can hold us to them.

Nothing in the competitor column asserts a limitation. You will not find an invented price, a claimed cap, or a statement that another product cannot do something. Those tools ship constantly, and a confident denial written in March is a lie by June. Where a competitor is genuinely strong — and each of these four is genuinely strong at something — the page says so in its own words. Nothing in our column is aspirational either. Every claim here maps to behaviour that ships today, and where a capability starts on a paid plan, the table says which one instead of quietly implying it is free.

Every comparison also carries a section naming the circumstances in which the other tool is the better choice, and it is not decorative. If we could not name real, specific reasons to pick Lovable, v0, Bolt.new or Cursor instead, we would not have understood the category well enough to be writing about it.

What we optimise for, in one paragraph

code-anything treats a running application as the unit of work rather than a file, a screen or a suggestion. Describe what you want and you get an app on managed infrastructure, with the Postgres data layer, sign-in and the sending code written in the moment it needs them, Stripe checkout wired in on Pro and Team, and a real hosted URL when you press Go Live. The second thing it optimises for is trust on code that already matters: connect a repository and the agent indexes it semantically and by symbol, edits an isolated clone, runs typecheck, tests and build there, and opens a pull request you review. Nothing is pushed to your branches. Those two priorities explain almost every difference you will read below.

The fastest honest way to decide

Build the same thing twice. Choose a small application you actually want — give it a form, a stored record and a login, because that is where prompt demos stop being impressive and start being real — and describe it to both tools in the same sentence. Then ignore the demo and look at what you are left holding: where the data lives, whether there is a URL you can send someone, and whether a developer could pick the result up without an export step. Ten minutes of that beats ten comparison pages, including this one. The checklist further down is the longer version of the same exercise.

WHAT A BUILD LEAVES BEHINDbaselinefirst buildsign-incheckoutcopy fixHEADgit show --numstatfour files, no build outputsrc/routes/checkout.tsx+64 −8src/lib/payments.ts+31 −0supabase/migrations/0007_orders.sql+18 −0package.json+2 −1diffablerewindableportable
Every build here ends as an ordinary git commit, and what you review is a plain diff of source files. Nothing is stored in a format this product invented — which is what makes the history rewindable, the change reviewable, and the result carryable into a repository you already own.

Side by side

Every comparison, in full

Each page carries a twenty-row feature table, a two-sided “which should you pick”, and the questions people genuinely ask about that pairing.

Comparing against something not listed here? The capabilities section documents each part of the platform on its own terms, and the platform overview walks the whole flow end to end.

Different in kind

Four kinds of tool get called an AI app builder

Most of the confusion in this category is a category error. These products are not four versions of the same thing — they return four different objects.

Before comparing features it is worth asking what each tool actually hands back, because that single property determines how much work remains yours. One returns a running product. One returns interface code for a developer to place. One returns a development environment with an agent in it. One returns assistance inside the editor you already use. All four are reasonable answers — to different questions.

Prompt-to-app builders

You describe an application in plain English and get a running one back, with a preview you refine by talking to it. The output is a product, not a file. These are built for people who want the result more than they want the code.

Where Lovable sits, and where the code-anything create flow sits.

Interface generators

You describe a screen or a component and get high-quality front-end code to fold into a project you already run. The output is code for a developer to place. Backend, hosting and data stay entirely your problem, by design.

Where v0 sits.

In-browser development environments

A real development environment with an agent in it, running in a browser tab. The loop between a prompt, a file change and a running app is extremely short, and you can open any file at any moment.

Where Bolt.new sits.

AI editors and coding agents

AI assistance placed where a developer already works — completion, chat and agentic edits against a local checkout. Assumes a reader who can judge a diff, and rewards them for it.

Where Cursor sits, alongside the code-anything pull-request agent.

code-anything deliberately spans two of these four. Its create path behaves like a prompt-to-app builder, down to the click-to-edit live preview and the ability to attach a screenshot of a layout you want matched. Its edit path behaves like a coding agent, working asynchronously against a repository and returning a reviewable pull request. That is why the four comparisons below read so differently from one another: against a builder we are being compared on the first path, and against an editor on the second.

It also explains the shape of our honest answer. If your problem sits squarely in one of the other three categories — you need interface code for a stack you already run, you want the editor in the browser tab, you want AI inline in your IDE — a specialist will usually serve you better than something spanning two categories. The argument for spanning them only pays off when you genuinely need both halves.

How to evaluate

Ten questions that decide it, and none of them are features

Every row here is something you can test in an afternoon with a free account. No product is named, because the checklist works on all of them — including this one.

Feature tables are useful for orientation and almost useless for deciding, because the things that go wrong six months in are rarely on them. What decides it is usually structural: where the data ended up, what happens when a change is wrong, who is watching after launch, and how much of the work quietly remained yours. Run this list against every tool on your shortlist and the differences stop being rhetorical.

Ask thisWhy it decides the outcome
What comes back from the first prompt?A running application, a codebase, or a screen? The answer decides how much work is still yours after the demo ends.
Where does the data live?A standard database you can export and query, or a proprietary store? This is the single hardest thing to undo later.
Who writes the backend?If sign-in, email and payments mean hand-rolling four integrations before the first real user, the build is the easy part. Ask which parts arrive written, and which accounts you still have to own.
What proves the change works?Ask what runs before a result reaches you. Typecheck, tests and a real build are a different level of assurance from "it looked right in the preview".
How does code reach a repository you already own?A reviewed pull request, a sync, or a copy-paste? On a codebase that matters, this is the whole question.
What happens when a change is wrong?Look for a version history you can rewind, and check whether the rewind itself is reversible.
Who is watching after launch?Most tools stop at deploy. Ask whether anything checks the build, the deploy and the preview afterwards, and who tells you when one breaks.
What does the bill do on a bad day?Usage-priced AI can surprise you. Ask about a hard daily ceiling, not just a monthly allowance.
Can a non-technical colleague use it unsupervised?If the honest answer is no, the tool is a developer tool, and it should be compared with developer tools.
What do you keep if you leave?The database, the domain, the repository. Check each one separately — vendors differ far more here than their landing pages suggest.

A vendor-neutral checklist. If a tool cannot answer one of these clearly, that is itself an answer.

Before you commit

Six questions worth asking any vendor

Including us. Each one is phrased so it can be asked in a sales call and answered with a demonstration rather than a claim.

“Show me the database.”

Ask to see the actual store behind the app, and whether you can connect to it with an ordinary client. On code-anything it is ordinary Postgres on Supabase, with the schema, the migrations and the access layer written into your own project.

“How does a change reach my repository?”

The three possible answers — a pull request, a sync, or nothing at all — imply three completely different review workflows. On code-anything it is a pull request you merge, and only that.

“What runs before I see the result?”

A tool that shows you output the moment it is generated has moved the verification work onto you. Ask which checks run, and where. Here it is typecheck, tests and build inside an isolated clone.

“What happens when it is wrong?”

Ask to see the history, and ask whether going back is itself reversible. Here every build writes a checkpoint you can rewind to, and the current state is snapshotted before a rewind runs.

“What is the worst a bad day costs?”

Monthly allowances hide daily risk. Ask for a hard ceiling. Every code-anything account, on every plan, sits behind a $25-a-day spend ceiling that resets at 00:00 UTC.

“What do I keep if I leave?”

Separate the answers for the data, the domain and the code. Here the data is standard Postgres, domains are yours and connected to the live project, and a connected repository already lives in your GitHub account.

$25 · everything this account runs today, resetting at 00:00 UTC$0run 1run 2run 3run 4run 5run 6run 7run 7 started under the line and finished over itthe daily ceiling is checked when a run starts, not while it runsrun 8refusedthe tick above each step is your plan’s per-run cap — $0.50 Free · $2 Starter · $5 Pro · $10 Team, drawn here at Pro
Two ceilings, checked before a run starts rather than after the bill arrives: one bounds a single run, the other stops the account for the day. The daily one is deliberately coarse — it is checked at the start of a run, so a day can finish one run’s cap above the line, and both checks fail open so a database hiccup can never lock you out of your own project.

Our answers to all six are documented rather than asserted — see capabilities, pricing and the docs.

Our trade-offs

What we optimise for — and what we gave up to do it

Every product in this category has made a set of choices. These are ours, stated in both directions, so you can tell quickly whether they are the ones you want.

What the product is built around

  • A running application as the unit of work — pages, data, sign-in, email, payments and hosting arrive together rather than as parts to assemble.
  • A backend layer written in on demand from vetted bricks: the Postgres data layer and sign-in on Supabase, the sending code for Resend, Stripe checkout on Pro and Team.
  • Proof over promises — typecheck, tests and a production build run in an isolated clone, and a build that cannot pass them is held rather than shipped.
  • Reviewed pull requests as the only way code enters a connected repository. No direct pushes to your branches, ever.
  • A version history of build checkpoints you can rewind to, with the current state snapshotted first so the rewind is itself reversible.
  • The work after launch — continuous health checks on builds, deploys and previews, with alerts, on Pro and Team.

What it deliberately does not do

  • Choosing your own model. There is no model picker; you pick a build quality tier — Prototype, Standard or Best — and the platform routes.
  • Working offline or on a local checkout. Everything runs in a hosted workspace, which is convenient from any machine and useless on a plane.
  • Every language and runtime. The focus is web applications and their stack, not a general-purpose editor for anything you can open.
  • Hand-tuning each vendor. The backend code comes out of a vetted catalogue, which is the point — but it does mean fewer knobs than assembling it yourself.
  • Team collaboration inside the product. Projects have a single owner account today; shared workspaces and roles are listed on the Team plan and are on the roadmap, and teams collaborate through GitHub in the meantime.
THE ONE THING YOU PICKmore capablecheaperPrototypeclassifies a turnwrites the code · and orchestratesCAPPED · NO RUNG ABOVE THISfastest, cheapest, fewer checksStandardclassifies a turnwrites the codeplans and orchestratesthe defaultBestclassifies a turnwrites the codeplans and orchestratesresearches and reviews more
The knob you give up is a model picker; what replaces it is this. Build quality is the only input to routing, and which rung a call lands on is decided by what the call is doing — classify, write, orchestrate — not by you. Choosing Prototype is choosing to cap the top rung, which is exactly what makes it cheap.

The right-hand column is the more useful of the two. A tool that claims no trade-offs has simply not told you where they are, and the ones above are the reasons a reader occasionally closes this page and goes back to a different product — which is the correct outcome when they are the trade-offs that matter to you. If a model picker, an offline workflow, or a general-purpose editor across a dozen languages is load-bearing for your team, the Cursor comparison is the most honest place to start.

FAQ

Questions about these comparisons

Yes — they are written by code-anything, and you should read them the way you would read any vendor comparison. What we can control is method: no invented pricing, no claimed limitations on the other product, no capability we do not ship, and a genuine "choose them instead" section on every page that names real reasons to pick the other tool. Where a competitor is better at something, the page says so.

The best way to compare is to build something.

Start free — no card, one active project, and a managed Postgres database, sign-in and transactional email included from the first prompt.