Cursor set the bar for agentic coding, and most people looking past it are not unhappy with the agent. They want a different price, a different licence, a different editor, or they have realized their work is notebooks and data rather than a codebase.
Last reviewed · 7 options compared
Why people look beyond Cursor
Cost, once a team is paying per seat on top of model usage.
Licence and privacy: some organisations cannot run a proprietary editor against their source.
Editor loyalty: not everyone wants to leave VS Code, JetBrains, Vim, or the terminal.
Notebook work: agent mode has historically not edited .ipynb cells directly, and data workflows live in notebooks.
Compute: an editor writes the training script, but it does not give you a GPU to run it on.
The alternatives
1
GitHub Copilot in VS Code
Best if you want to stay in stock VS Code
The incumbent, and it has closed much of the gap: inline completion, chat, and an agent mode that plans and applies multi-file edits, inside the editor you already have. Deep GitHub integration is the differentiator, and enterprise procurement tends to be easier than for a newer vendor.
No editor migration: it is an extension, not a fork
The closest thing to Cursor in shape: an AI-first editor built around an agent that reads your project and applies changes across files. People who bounce off one often prefer the other, and the honest advice is to run both on the same task for a day and keep whichever fits your habits.
Agentic, project-aware editing in a purpose-built editor
Familiar to anyone coming from VS Code
Worth trialling head to head rather than reading about
An agent that works in your repository from the command line rather than inside an editor, which suits anyone whose workflow is already tmux, Vim, or a JetBrains IDE they do not want to leave. It composes with whatever editor you keep open, and it fits automation and CI-adjacent work more naturally than a GUI editor does.
An open-source coding agent that runs as a VS Code extension and uses API keys you supply, so you can see what it sends and choose the model and the provider. The right answer when the blocker is licence, data handling, or wanting the bill to be model usage rather than a subscription.
Open source, inspectable, self-directed model choice
An open-source assistant for VS Code and JetBrains that is built to be configured: pick models per task, wire in local models, and define your own context rules. More assembly than Cursor, and correspondingly more control over what runs where.
A fast, collaborative editor written from scratch, with AI assistance built in rather than retrofitted. Chosen mostly by people who care about editor performance and feel, and who want AI present without it becoming the whole interface.
Very fast, purpose-built editor with native collaboration
Best if the reason you are looking is notebooks and compute
Not a Cursor replacement for building software, and we would rather say that up front. But a lot of people search for a Cursor alternative because their work is data: notebooks, models, experiments. Cursor's agent has historically not edited .ipynb cells directly, and no editor gives you a GPU. Clusy is agent-native to notebooks: describe the outcome and it writes and runs the cells on managed compute, from a free 8 vCPU / 8 GB sandbox up to H100 and H200 GPUs, with branching to compare experiment variants. Disclosure: our product.
The agent edits and executes notebook cells natively, then reads the output
Managed compute included, from a free CPU tier to H100 / H200
Branch experiments and compare runs side by side
Not a replacement for repository-wide code work: use Cursor or Copilot for that
This is a list of tools that do Cursor's job, not a list of things vaguely near it. Each entry says which part of the job it takes over.
Clusy is our product and is disclosed with a chip. It is deliberately last among the coding tools, because for writing application code it is not a Cursor replacement and saying otherwise would be nonsense.
Pricing and model availability in this category change constantly, so no prices are quoted and capability claims are kept to things that are not version-specific.
Competitor facts are taken from each vendor's own documentation and last checked ; the comparison matrix lists the source link behind every one. Found something out of date? Tell us.
When to stay with Cursor
Honestly: switching tools has a cost, and sometimes the right answer is the one you already use.
You are shipping application code and the agent is doing that job well.
Your repository is large, and Cursor's whole-project awareness is the value.
The subscription is cheaper than the hours a migration would cost, which it usually is.
You have already tuned your rules, context, and habits around it.
Frequently asked questions
What is the closest alternative to Cursor?
Windsurf, in product shape, and GitHub Copilot in VS Code if you would rather not change editors at all. Both do the same job: an agent that reads your project and applies multi-file changes while you review them.
Is there an open-source Cursor alternative?
Cline and Continue are the main ones. Both run inside an editor you already have, both let you bring your own API keys, and both trade some polish for transparency and model choice.
Can Cursor work with Jupyter notebooks?
It opens and renders them, but agent mode has historically not edited .ipynb cells directly, which is why the community built an MCP server for cell operations and why many people work in percent-format .py files instead. If notebooks are the bulk of your work, a notebook-native tool will fight you less.
What should I use for data science instead of Cursor?
It depends on what you want the AI to do. For writing code in an editor, VS Code with Copilot handles notebooks perfectly well. For an agent that writes and runs the cells on managed GPUs and reports back, that is what we built Clusy for. For a better notebook format with no AI attached, marimo.