Back up Cursor projects automatically.

Quick answer for Cursor backup

Cursor saves files locally while you work, but a local save is not the same as a remote backup. A Cursor backup workflow should create private GitHub recovery points after useful AI edits, before risky prompts, and before you close a long coding session.

Why Cursor users forget backups

Cursor keeps the developer in the editor, which is productive but easy to treat like an autosaved document. Code changes may be saved locally, but that is not the same as a remote backup.

If a project folder is deleted, a laptop fails, or an AI edit breaks a working version, local saves alone are not enough.

The risk is not only catastrophic data loss. More often, the problem is losing a known good state. A Cursor session can improve a feature, then a later prompt can rewrite the same files in a way that is harder to untangle. Without a private remote checkpoint, the user may need to reconstruct the working version from memory, chat history, or copied snippets.

What makes Cursor backup different

Cursor is useful because the AI assistant works close to the files you are already editing. That is also why backup discipline matters: an AI change can touch application code, package files, environment examples, tests, and documentation without a separate handoff step.

Traditional Git users might commit after every meaningful change. Many Cursor users are moving faster than that, especially when they are validating an MVP, landing page, script, or internal tool. A backup workflow should fit that pace: one command after a useful state, one command before a risky prompt, and one health check when the user is not sure whether the project is protected.

A practical backup rhythm

1. Run aicodebackup setup when a Cursor project starts becoming valuable.
2. Run aicodebackup backup after a feature works or before a risky prompt.
3. Run aicodebackup watch --auto when a long Cursor session should back up after risk thresholds.
4. Run aicodebackup doctor if you want to confirm the remote backup path is healthy.

Cursor backup checklist

Use this checklist when a Cursor project has moved beyond a disposable experiment. It keeps the backup routine focused on recoverability instead of turning every prompt into process overhead.

• Confirm the project folder is the folder you want to protect.
• Run aicodebackup setup once before the project becomes complex.
• Run aicodebackup doctor before long sessions if you are not sure the GitHub remote is connected.
• Run aicodebackup backup after a feature, bug fix, or working UI state.
• Run a backup before prompts that mention refactor, rewrite, simplify, remove, migrate, or update dependencies.
• Keep secrets out of the project folder or use normal secret-management practices before backing up.

Good Cursor backup checkpoints

• After Cursor finishes a working feature or UI state.
• Before asking for a broad refactor across multiple files.
• Before accepting dependency, build, or configuration changes.
• Before switching from Cursor to another AI coding tool.
• Before deleting generated files or asking the model to simplify a project.

Before large AI edits

The safest time to back up a Cursor project is before the prompt that could change many files. If the next instruction asks Cursor to restructure folders, replace a framework, migrate styling, update dependencies, rename components, or remove code, create a recovery point first. That backup gives you a clean comparison point even if you decide to keep only part of the AI output.

A good rule: if you would be frustrated rewriting the current state from scratch, back it up before asking Cursor to continue.

Private by default

AICodeBackup creates GitHub repositories as private by default. That matters for Cursor projects that may contain API experiments, product ideas, unfinished code, or proprietary implementation details.

How to recover a Cursor project safely

The restore MVP restores into a separate folder instead of overwriting the project you are editing. Use aicodebackup restore --list to inspect recent remote commits, then restore into a sibling folder such as ../my-project-restored.

Restoring into a separate folder is intentional. Cursor users often want to compare the current local project with an earlier known-good version. A separate restored folder lets you inspect files, copy back selected changes, or open both folders side by side without replacing the active project.

What to do if Cursor breaks a project

1. Stop prompting and avoid deleting more files.
2. Run aicodebackup restore --list to see recent remote checkpoints.
3. Restore into a new folder outside the current project.
4. Open the restored folder separately and compare the working files.
5. Copy only the files or sections you actually need back into the active project.

What this does not replace

AICodeBackup is not a full Git education tool and does not try to replace a professional development workflow. It gives AI coding users a simple backup habit first, then leaves room to learn Git later.

FAQ

Does Cursor already back up my project?

Cursor edits local files in your project. You still need a remote recovery point if you want protection against local loss, broken edits, or machine failure.

Should I back up every prompt?

No. Back up after meaningful working states and before risky prompts. The goal is reliable recovery points, not a commit for every generated line.

Is a private GitHub repository enough for Cursor backup?

It is a strong baseline for most solo AI coding projects. It gives you a remote copy, visible history, and a place to recover from. Teams or regulated projects may need a fuller engineering workflow, but a private repository is much safer than local-only files.

Can I use this without learning Git first?

Yes. AICodeBackup wraps the common setup, commit, push, health check, and safe restore actions behind simple commands. You can still learn Git later if the project grows.