Cursor or Claude Code: which AI coding assistant should you choose?

Cursor looks like the editor most developers already use. The AI is everywhere in it: it finishes the current line, suggests the next function, answers a question about the open file, applies a change across several files when asked. The developer stays at the keyboard and approves as they go.

Claude Code starts from the task. You write what you want: fix this bug, add this field to the form and the database, update this dependency. The agent explores the repository, proposes a plan, edits the files, runs the tests, fixes what fails and stops when it is done. The developer reads the result the way they would review a colleague's work.

The two tools are converging: Cursor has an agent mode, Claude Code plugs into editors. The difference that remains is one of working habit. With the first, you write with help. With the second, you delegate and check.

If you are having a website, a business application or a product built, you will probably not choose your developers' tool. You still have an interest in knowing what it changes.

It speeds up what is repetitive: writing a form, connecting a documented API, writing tests, updating a library, translating an interface. On those tasks the time saved is real and shows in the schedule.

It does not speed up what calls for a decision: understanding your business, choosing an architecture, arbitrating between two conflicting needs, turning down a feature that would cost too much to maintain. That work remains a person's, and it is what makes software hold up over time.

So be wary of a promise to cut the schedule by ten. A project run with these tools goes faster on producing code, and as fast as before on the rest: scoping, choices, trials with real users.

An AI quickly writes code that looks right. Some of it is, some of it is not, and nothing lets you tell them apart by eye. The difference comes from what surrounds the tool.

Tests, first. An agent that can run a test suite knows at once whether its change breaks something. Without tests it moves forward blind, and so does the developer.

Review, next. Every change goes through a pull request, read by a person before it enters the shared code. That rule existed before AI. It matters more now that the volume of code produced is rising.

The repository's instructions, last. Both tools read instruction files stored in the project: naming conventions, commands to use, known pitfalls. A well-documented repository gives better results, with either one.

When a contractor tells you they develop with AI, ask these three questions: how is the code tested, who reviews it, and where are the project's rules written?

To work, these tools send extracts of your code to the model. That is unavoidable: it has to read the code to change it. Three checks are in order.

The first concerns training. The business plans of both tools provide that your code is not used to train models. This is set in the account settings or in the contract, and it can be verified.

The second concerns secrets. A password or an access key written in a file leaves with the rest. They have no place in a repository, with or without AI: a serious project keeps them in a vault and out of the code.

The third concerns ownership. The code produced with these tools belongs to you like the rest of the project, provided your contract says so. With us, the code and the accounts are in your name.

For software that handles highly sensitive data, you can go further and run the model on infrastructure you control. It is heavier, and it is decided during scoping.

We do not reproduce the prices: they change often and each vendor publishes them. The mechanics are as follows.

Cursor is paid per developer, per month, with a volume of usage included in the plan. Beyond that, extra usage is billed or slowed down.

Claude Code is used with a Claude subscription, or by paying for usage based on the volume of text processed. An agent that works for a long time on a large repository consumes a lot: the cost follows the work handed over, not the number of people.

In both cases, that cost stays small next to a developer's. The real budget question is review time. A tool that produces much more code calls for organized review, otherwise the gain is lost in corrections.

Your team is new to AI-assisted development: Cursor. The editor is familiar, help arrives as you type, and everyone stays in control.

Your team already has tests, code reviews and a well-kept repository: Claude Code. Delegating whole tasks requires that foundation, and makes the most of it.

You want to automate tasks with nobody at the screen, such as regular dependency updates or a first pass on reported bugs: Claude Code, built to run in a script or an integration pipeline.

You do not develop yourself and you are choosing a contractor: the tool matters less than the method. Ask to see the tests, the review and the access to the repository.