Claude Code vs Cursor: which for multi-agent work?

the short answer

If you want to write code faster while you are sitting there, use Cursor. If you want to hand over a scoped task and not be present while it happens, use Claude Code. That is the recommendation, and the rest of this post is the conditions attached to it, because the two products are different shapes rather than two entries in the same league table.

The comparison gets made because both put a strong model next to your code and both come out of the same budget line. That is enough similarity for a search query. It is not enough for a feature table, and a feature table is what produces the bad advice you have probably already read: people who want faster typing get told to learn a terminal agent, and people who want unattended work get told to buy a better editor.

two different shapes, and why the shape decides everything

Cursor is an editor. It is a fork of VS Code, which means it inherits the whole apparatus that makes an editor an editor: language servers, extensions, a debugger, go-to-definition, the file tree, the search. On top of that it puts prediction, and the prediction is unusually good, because it is trying to guess your next edit rather than only your next token. It also has an agent that plans and edits across a codebase, and it has background agents that run work off your machine entirely.

Claude Code is a process. You install it, you cd into a directory, you type a sentence, and it reads files, writes a patch, runs your tests, reads the failures and tries again. There is no window, no file tree and no cursor. When it finishes you have changed files on disk and a transcript of what it did.

The useful axis between them is not model quality, price or context window. It is how often the tool needs you. Every AI coding tool has an interval: the typical time between the tool doing something and you having to look at it. Predictive completion has an interval of about a second, because you accept or reject as fast as you read. A delegated task has an interval of minutes, because nothing about it requires your eyes until it stops.

Everything downstream follows from that one number. A tool with a one-second interval cannot be run four times in parallel, not because it is badly built but because the supervision is the entire cost and you have one attention. A tool with a ten-minute interval can be, because the second agent fits inside the first agent's gaps. We made the longer version of this argument about a different pair of tools in Copilot vs Claude Code, and it is the same argument, because it is a property of the shape and not of the vendor.

Be fair about the edges, though. Cursor's agent mode lengthens its interval a great deal, and its background agents lengthen it further still, to the point where the work is not on your machine at all. Claude Code has an editor extension, and plenty of people drive it from a panel rather than a bare terminal. The boundary is genuinely blurry. What has not moved is where each product is at its best, and that is what you are actually buying.

what Cursor is genuinely better at

This section is longer than the one after it, and that is deliberate. If your problem is the one Cursor solves, no amount of agent orchestration substitutes for it, and buying the wrong shape costs you a month before you notice.

prediction, which is the thing it is best in the world at

Tab completion and inline editing by instruction are Cursor's core loop and its strongest argument. It predicts the next edit rather than the next token, and it applies the change where your cursor already is. For the large fraction of programming that is knowing exactly what you want and typing it out, that halves the keystrokes without ever breaking your train of thought. A terminal agent cannot do this. It does not try to, and it never will, because it has no idea where you are looking.

it is a whole editor, and you need one anyway

Language servers, extensions, debugging, go-to-definition, refactoring tools: all inherited from the VS Code base it forked. Whatever agent you end up running, you are going to read the diff somewhere, and that somewhere is an editor. Cursor is a credible answer to both halves at once, which is a real form of simplicity that a terminal agent plus a separate editor does not have.

it runs on three platforms

macOS, Windows and Linux. That sounds like a footnote and it is not: it decides whether a team can standardise on the tool at all. Claude Code, being a command line program, also runs essentially anywhere a shell does, so on this particular axis they are close. It is the desktop apps built around agents that tend to be the ones shipping a single build, ours included.

there is a free tier

You can find out whether you like it without a card. That matters more than people admit when the honest answer to a comparison is try it for an evening. Claude Code requires a Claude subscription or Anthropic API credit before it does anything, so the cost of finding out is not zero.

its background agents run off your machine

This is the point most comparisons get wrong. Cursor is not a strictly one-agent-at-a-time product and has not been for some time. Its background agents run work somewhere other than your laptop, which has an advantage no local tool can match: closing the lid does not end the job. If your parallel work is long, independent and does not need a shell on your own machine, that model is better than running four local processes and it is not close.

the adoption cost is close to nothing

It imports your VS Code settings, keybindings and extensions, so the first hour feels like the editor you already had. The adoption cost of any tool is mostly the cost of changing where you work, and a terminal agent asks you to change that quite a lot: to stop typing, describe a whole task in a paragraph, and then trust it. Some people never make that switch, and it is a preference rather than a failing.

what Claude Code is genuinely better at

you can leave

The thing you are buying is the ability to describe a task, walk away, and come back to finished work with tests run against it. Not a suggestion in the buffer: a set of changed files. Whether the work is good is a separate question and often the answer is no, but the shape of the transaction is unlike anything an editor offers, and once you have organised a day around it, going back feels like typing for a living.

an arbitrary shell, with no extension API in the way

An agent with a real terminal runs your build, your linter, your migrations, the internal script nobody wrapped in a plugin, and the six-year-old Makefile that is the only thing that knows how to package the product. Editor-based tools reach the world through the editor. A shell has no such boundary, which is simultaneously the advantage and the reason to think about what you let it run.

no display dependency

It runs over SSH on a box with no screen. It runs inside a container in CI. It runs in a worktree you made thirty seconds ago and will delete this afternoon. Nothing about it assumes a window, and a window is the resource you have exactly one of.

it composes with everything else that is a process

Because it has arguments and standard streams, you can start it from a shell script, from a Makefile, from a loop over a list of packages. Graphical tools cannot offer this category of use at all, and a surprising share of the genuinely interesting multi-agent workflows are just somebody's loop.

a documented seam you can hook

Claude Code fires shell hooks at named points in a session: session start, prompt submit, before and after a tool call, on stop, on notification. That is a public integration surface, which means a status light, an audit log or a policy check is something you can build rather than something you have to wait for. We rely on this ourselves and wrote up the events in the hooks guide. Editors expose extension APIs, which are richer inside the editor and useless outside it.

you can run several of it, and that is a consequence rather than a feature

A thing with no display dependency, an interval measured in minutes and a command line interface is a thing you can start four of. That is the whole trick, and the next section is what it actually costs you.

running four at once

Multi-agent work is mostly a scheduling problem rather than a prompting one, and it has one non-negotiable step: every agent needs its own working directory. Two agents editing one checkout will overwrite each other, silently, and no amount of instruction in a prompt prevents it, because neither of them can see the other's buffer.

In git the cheap answer is a worktree: a second checkout of the same repository on its own branch in its own directory, sharing one object database. You create one per agent, start each agent inside its own directory, and let real conflicts surface at merge time where a human can see them. The commands and the five ways it still goes wrong are in git worktrees for AI agents, and the wider setup is in how to set up a multi-agent coding workspace.

Now the honest comparison. There are three different answers to the question where does in-progress agent work live, and none of them is wrong:

• A process. Several terminal agents, one per worktree. You can see whether each is running, attach to it, kill it, and ask a script how many are alive. This is the only one of the three a computer can enumerate.
• A window. Several editor windows on several checkouts, each running an agent session. This works, people do it, and it is the natural extension of the editor model. Windows are not addressable by anything except you looking at them.
• A hosted job. Background agents running somewhere else, surfacing as a branch or a pull request. Excellent for review, immune to your laptop sleeping, and it tells you very little while the work is in progress.

The constraint that binds all three is the same, and it is not your CPU count. It is how many diffs you can read carefully before you start approving by pattern. Agents parallelise. Review does not. Past a small number, the extra agent is making the output worse rather than faster, which is the argument in how to run agents in parallel and the failure nobody has solved.

cost, and the thing neither of them shows you

Quoting figures here would be a disservice, because both vendors change their plans more often than a post gets updated. The shapes, as recorded on our comparison page with the date they were checked: Cursor has a free tier, a paid individual plan, and usage-based charges past the included allowance. Claude Code is used against a Claude subscription or against Anthropic API usage, and which of those you are on changes what running out even means. Go and read the current numbers before you decide anything.

The interesting difference is not the sticker price. It is that a subscription and an API key fail differently. On a subscription you are not billed per token, so what you want to see is headroom: how close you are to being told to wait. On an API key you want dollars, and you want them before the invoice rather than after. Most tooling shows you neither while the work is running.

And the obvious do-it-yourself fix does not work. If you total token counts out of transcripts you will get a number that is wrong by a multiple, because in a long coding session the overwhelming majority of tokens are cache reads, and cache reads, cache writes and fresh input are three different prices for the same window. We measured that and published the arithmetic in what Claude Code actually costs. The multi-agent version of the point is narrower: parallelism multiplies burn rate, and burn rate is the one variable a person watching four terminals cannot estimate by looking at them.

This is the gap our own product was built for, so treat the next sentence as interested rather than neutral. Skribbl is a macOS app that puts real terminals and agents on one canvas with a combined spend meter in the top bar. It meters Claude Code today and not the other agents it can launch, which is a limitation we would rather state here than have you discover after paying. The docs list what else is unfinished, and the pricing page says what it costs on top of whatever you already pay a model provider.

which should you pick

A real answer, in the order most people should read it.

If you mostly know what you want to write and want to write it faster, use Cursor. The prediction loop is the product, it installs into muscle memory you already have, and there is a free tier so the decision costs an evening. Nothing about delegation replaces a good prediction landing exactly where your cursor was.

If your work arrives as scoped tasks you could hand to a competent stranger, use Claude Code. Migrate this module, add tests to these six files, make this failing suite pass. The value is entirely in walking away, so if you would not actually walk away, you are paying for something you are not using.

If you do both kinds of work, use both, at different parts of the day. This is not fence-sitting, it is the pattern most people converge on: agents on the mechanical work in the background, the editor for the part you are thinking hardest about. They do not fight. Running Claude Code in a terminal pane inside Cursor is a perfectly ordinary setup and costs you nothing but the second subscription.

If you already run three or more agents and the problem is keeping track of them, you have a different problem from the one this comparison is about, and neither product is aimed at it. That is the category on our comparison page, where several of the tools are free and open source, which is worth knowing before you spend anything at all.

common questions