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· Dev Tools· 9 min read

Claude Code vs Cursor: we use both, and here's the split

An editor with an agent in it, versus an agent that lives in your terminal. They are different shapes of tool — here is how we decide which task goes where, and what we would tell you to pick if you only get one.

By Replace Works

Every few weeks someone asks us which one we use, Claude Code or Cursor, and expects a name. We run both, every day, and the reason is not indecision. They are not the same kind of tool, and the moment you see the difference the question stops being "which is better" and becomes "which one is this task shaped like".

Here is how we actually split the work.

The difference is the container, not the model

Both tools will happily run the same underlying models. That is the first thing to get out of the way, because most comparisons treat this as a model fight and it isn't. You can point either one at a frontier model and get comparable raw capability.

What differs is where the intelligence lives.

Cursor is an editor. It is a fork of VS Code with AI built into it — your extensions, keybindings and settings carry over, and you gain inline edits, codebase-aware chat, and an agent that can plan and apply changes across files. The model sits inside the thing you were already looking at.

Claude Code is an agent. It runs in your terminal, reads and writes files directly, executes commands, and works through multi-step tasks with the repository as context. There is no editor. It also runs where an editor cannot: in CI, in a script, as an SDK you build your own tooling on.

That distinction drives everything else. An editor optimises for you watching. An agent optimises for you not having to.

Where Cursor wins

  • Work you want to see happening. When you are reading unfamiliar code, or making a change whose effect you need to eyeball immediately, having the diff appear in the file you are already reading is worth more than it sounds. You catch a wrong turn in two seconds instead of at the end of a long run.
  • Tight edit loops. Small, local, high-frequency changes — rename this, extract that, fix the type error on line 40. The overhead of describing the task to an agent exceeds the cost of just doing it with autocomplete and inline edit.
  • Design and front-end work. Anything where you change a value, look at it, and change it again. The feedback loop is visual, and a terminal is the wrong instrument for a visual loop.
  • Onboarding to a codebase. Asking questions about code while looking at it, jumping to definitions, following a call path with the model narrating. This is genuinely one of the best uses of an AI editor and it is underrated.

Where Claude Code wins

  • Long autonomous runs. Migrations, refactors that touch forty files, upgrading a dependency across a monorepo. Work you would rather describe once and check afterwards. Watching an agent do this in an editor is a waste of your attention; the point is to go and do something else.
  • Anything that composes with other tools. Because it lives in the terminal, it sits naturally next to git, test runners, deploy scripts, linters, and whatever internal CLI your team has. It can run the tests, read the failures, and fix them, in one continuous loop, without you brokering between windows.
  • Work that belongs in automation. This is the part people miss. A terminal agent can run in CI. It can be triggered by a webhook. It can be wrapped in a script and scheduled. An editor cannot do any of that, because an editor requires a human sitting in front of it.
  • Repository-wide reasoning. Questions like "where does this value actually get set" or "what breaks if I change this interface" tend to land better when the agent can freely grep, read, and follow the thread without a file being open.

How we actually split it

The rule we have converged on is simple: if you want to watch, use the editor. If you want it done, use the agent.

In practice that means a day looks something like this. Exploratory and visual work happens in Cursor — reading, prototyping, front-end iteration, the fiddly change that is faster to make than to describe. The moment a task becomes "this is well-specified and will take an hour of mechanical work", it moves to Claude Code and we go do something else.

The second pattern is using them in sequence. Claude Code does the broad pass — the migration, the scaffold, the sweep across files — and then we review and refine it in Cursor, where reading a diff in context is more comfortable. Agent for breadth, editor for judgment.

The third is scale. Claude Code can run several tasks in parallel in a way an editor fundamentally cannot, because each one is just another terminal. Once you get comfortable with that, three independent pieces of work progressing at once stops feeling exotic.

The parts that are genuinely annoying

Neither tool is finished, and pretending otherwise helps nobody.

Cursor's agent will sometimes make a confident sweeping change you did not ask for, and because it is fast you can accept it before you have really read it. The editor's convenience is also its risk — the friction that would have made you think is gone. Commit before you let it run, always.

Claude Code's failure mode is the opposite: it goes away and works for a long time, and if the premise was wrong you find out late. The fix is unglamorous — be specific up front, and ask for a plan before the work on anything substantial.

Both will occasionally be confidently wrong about a codebase convention that is obvious to a human who has been there six months. Neither replaces knowing your own system.

What about Copilot, Windsurf, Codex?

GitHub Copilot is the institutional answer. If you are in a large organisation with procurement and compliance requirements, Copilot's integration with GitHub and its enterprise posture will matter more than any capability gap. It is no longer the most capable option; it is very often the most approvable one.

Windsurf is the closest direct competitor to Cursor and worth trying if Cursor's agent behaviour does not suit you. The two leapfrog each other regularly.

OpenAI's Codex is the nearest thing in shape to Claude Code, and we run it alongside rather than instead. The genuinely useful property of having both is that they fail differently — when one gets stuck on something, the other often walks straight through it. On a hard problem that is worth more than either being marginally better on a benchmark.

Aider is the option if you want a terminal agent that is open source and fully under your control, and you do not mind assembling more of the setup yourself.

Zed is worth a look if raw editor performance matters to you more than agent depth.

If you genuinely have to pick one

Some teams have one budget line and one decision. Fine — here is the honest version.

Pick Cursor if the people using it are not deeply comfortable in a terminal, if the work is front-end or design-heavy, or if the team's instinct is to supervise rather than delegate. It is the lower-friction starting point for most developers, because it looks like the tool they already use.

Pick Claude Code if the work is backend, infrastructural, or repetitive at scale; if you want to automate any of it beyond one person's laptop; or if your team is already terminal-native. The ceiling is higher and the learning curve is real.

If you are a small team shipping product, the actual answer is still both, and the combined cost is trivial next to an engineer's time. That is not a cop-out — it is the same reason you own more than one kind of test.

What we would tell you to do this week

Take one well-specified, boring task — a migration, a test suite you have been avoiding, a dependency upgrade. Describe it once to Claude Code, walk away, and review the result properly when it is done.

Then take one exploratory task in unfamiliar code and do it in Cursor with the model as a reading companion.

Do both and the split will be obvious within a day. It is not a conclusion you need to be argued into; it is one you notice.

We keep our current picks — including both of these — in the public Tool Stack, with notes on where each one fits and what we would use instead.

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