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Can I code Cursor?

Adding AI completions to your existing editor via a plugin is genuinely achievable, and this register's own GitHub Copilot entry already covers exactly that. Cursor is a different, bigger undertaking underneath: an entire maintained fork of a code editor, not a plugin layered on top of one.

VIBE SCORE 74/100

how this is worked out

categorydevtools
time to codenot worth starting
Just pay
their price$20/mo · $240/yr
last checked · source ↗

A moderate score above just means the individual parts are buildable — it isn't a build/buy recommendation on its own. Here's the actual reason this one's still JUST PAY:

Why CanICodeThis says Just pay

  • An editor plugin sending code context to an LLM API and inserting suggestions is the same bounded, achievable pattern as this register's Copilot entry
  • For personal use with your own API key, inline AI completions in your existing editor are genuinely a weekend project
  • Multi-file editing assistance can start as a simple script that sends several open files as context in one request

What you give up building Cursor yourself

  • Cursor is a maintained fork of an entire code editor, not a plugin — inheriting syntax highlighting, extension compatibility, and ongoing upstream merges as real, permanent engineering overhead a plugin never takes on
  • Whole-codebase-aware retrieval, indexing an entire large repository so the model has relevant context beyond the open file, is a genuinely deep retrieval problem
  • A reliable multi-file autonomous agent that edits across a codebase coherently is real, sustained product engineering, not a bigger prompt

What you'd have to build

The parts this build actually needs, each rated on its own — the average is the Vibe Score above.

Landing page99
User login92
Third-party integration ecosystem30

How to build your own Cursor

Don't build and maintain an entire code editor — add AI completions to the editor you already use, the same achievable pattern as this register's own GitHub Copilot entry: 1. An extension for your existing editor (VS Code's extension API is well-documented) that sends the surrounding code as context to an LLM API. 2. Inline ghost-text suggestions as you type — a solved UI pattern most modern editors' extension APIs already support directly. 3. For multi-file assistance, a simple command that gathers a few open files as context and sends them together in one request. That's a real, working AI-assisted editing setup for personal use, genuinely a weekend project. Out of scope: forking and maintaining an entire code editor (syntax highlighting, extension compatibility, ongoing upstream merges) rather than extending one you already have, whole-codebase-aware retrieval indexing a large repository, and a reliable autonomous multi-file editing agent — each a genuinely deep, separate engineering problem.

What it actually costs to build

Two real costs, not just "free": the AI agent's own usage, and hosting once it's running. Both are estimated from this app's own effort rating and component list — see the assumptions on the method page.

AI agent — with a subscription (Claude Pro/Max, Cursor, etc.)$0 marginal
AI agent — pay-per-use API, no subscription$86–$172 one-time
Hosting, once it's running$0/mo (free tier)
Domain name, if you want your own~$12/yr

Cursor costs $20/mo. Even paying per-token with no subscription, and accounting for hosting, this build pays for itself in about 9 months.

Questions

Can I code Cursor?

Just pay. Adding AI completions to your existing editor via a plugin is genuinely achievable, and this register's own GitHub Copilot entry already covers exactly that. Cursor is a different, bigger undertaking underneath: an entire maintained fork of a code editor, not a plugin layered on top of one.

How much does Cursor cost?

Cursor costs $20/mo (about $240/yr) as of undefined. That's what a working rebuild would save you.

What do I lose by building it myself?

Cursor is a maintained fork of an entire code editor, not a plugin — inheriting syntax highlighting, extension compatibility, and ongoing upstream merges as real, permanent engineering overhead a plugin never takes on Whole-codebase-aware retrieval, indexing an entire large repository so the model has relevant context beyond the open file, is a genuinely deep retrieval problem A reliable multi-file autonomous agent that edits across a codebase coherently is real, sustained product engineering, not a bigger prompt

Similar products you could build

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