AI coding safety layer for code backup.

AI coding needs a safety layer because generation is fast, local state is fragile, and many builders are not traditional Git users yet.

What a safety layer does

A safety layer sits between rapid AI edits and permanent loss. It does not decide whether the code is good. It makes sure useful work can be saved, checked, and recovered from a private remote location.

Add the first safety layer

Install the alpha and create a private GitHub recovery path before relying on long AI coding sessions.

npm install -g aicodebackup@alpha
Install alpha

The first layer is backup

Before advanced recovery, notifications, or risk scoring, AI coding users need a reliable path from a local project folder to a private GitHub repository.

Who needs this layer

Vibe coders, indie developers, product managers, designers, and operators all use AI tools to create real software. They may not know Git yet, but their work still deserves a backup path.

Where AICodeBackup fits

AICodeBackup focuses on the first safety layer: setup, private GitHub backup, doctor checks, watch reminders, and safe restore into a new folder outside the current project.