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Cursor-built projects that need a developer to finish them

Cursor is an AI-assisted code editor built on the same foundations as Visual Studio Code. Unlike app builders that host your project for you, Cursor works on files in a folder on your computer, so whatever you have built is a regular codebase in whatever language and framework the AI and you chose. That makes Cursor projects some of the most straightforward to hand over, and also some of the most varied.

What stuck Cursor projects look like

Because Cursor can produce large amounts of code quickly, a project can grow faster than its structure. Owners often describe the same pattern: the first features came together easily, then each change started breaking something elsewhere, and the AI's suggestions began contradicting earlier decisions. The app may run locally but has never been deployed, or it was deployed once and nobody is sure how to repeat the steps.

Typical contents include a frontend framework such as Next.js, React or Vue, a backend in Node.js or Python, and a database that might be local, hosted or a mix of both. Some projects include .cursor rules files that describe coding conventions, which are useful hints for the next developer.

A helpful habit before handing over is to pause large AI-driven changes for a few days and write down, in your own words, how the main features are meant to behave. The developer can compare that description with what the code really does, and the differences often point straight at the bugs. Short notes work better than a long document; a numbered list of user journeys, such as "visitor signs up, confirms email, creates first project", is usually enough to start.

Common problems in AI-edited codebases

  • Several ways of doing one thing. Different sessions may have introduced two data-fetching patterns, three styling approaches or duplicate utility functions. Consolidating them is often the first job.
  • Half-applied refactors. A large change accepted across many files can leave some files updated and others not, especially when the agent ran out of context partway through.
  • No tests, or tests that were edited to pass. Without dependable tests, every fix carries risk. Adding a few around the most important flows makes later work safer.
  • Local-only state. Code that exists only on a laptop, environment variables nobody wrote down, and a database seeded by hand are all common.
  • Dependency drift. Packages added in different sessions may conflict or be years apart in age. /tools/dependency-freshness-check gives a quick overview.

For the security side, /problems/ai-generated-app-security-issues lists the issues worth checking in any AI-written app.

Preparing a listing for a Cursor project

First, get the code into a private remote repository and confirm that secrets are not committed. Run /tools/repo-health-check and /tools/secret-leak-scanner so you know what a developer will see when they open it. Then write a listing that covers:

  • the language, framework and database in plain terms;
  • how to run it locally, even if the steps are rough;
  • where it is hosted, or that it has never been deployed;
  • the features that work, the ones that are fragile and the ones still missing;
  • whether you want a cleanup first or new features first.

Being honest that the code was written mostly with AI help is useful; developers who enjoy this kind of work will read it as context, not criticism. The /tools/rescue-effort-estimator can help you set expectations before you /post.

Access to share with a developer

Invite the developer as a collaborator on the repository rather than sharing your account. Add them to the hosting provider and database service through team invitations, with the narrowest role that lets them do the job. If any environment values were ever pasted into a chat or committed, rotate them before inviting anyone.

Developers taking over this kind of code may find /guides/first-week-on-an-inherited-codebase helpful. Price, scope and payment are agreed between you and the developer; TakeoverWork introduces people and does not check or employ anyone.

Common problems

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Frequently asked questions

Does a developer need Cursor to work on my project?

No. Cursor edits normal files in a normal folder, so any developer can open the repository in the editor they prefer. Rules files in a .cursor folder are harmless to other tools and can even help the next person understand your conventions.

My code only exists on my laptop. Is that a problem?

It is a risk. Push it to a private GitHub or GitLab repository before you post, so there is a backup and a history. Check that files with secrets, such as .env, are listed in .gitignore and not committed.

Do projects built with other AI editors count here too?

Yes. Projects written with Claude Code, Windsurf, GitHub Copilot or similar assistants have the same character as Cursor projects: real source code that a developer can take over directly.

How can I tell how much work my Cursor project needs?

Run a repository health check and note which features fail. A developer reviewing the code for an hour or two can usually give a much better estimate than the AI that wrote it.

Can I still use Cursor after handing the project over?

Yes. Many owners keep making small changes themselves. Agree with the developer on branches and pull requests, so your edits and theirs are reviewed before they meet.