Does it integrate with Git?

Yes, it captures Git references as part of the checkpoint structure to ensure that the repository state is consistent upon restoration.

Why use this instead of standard Git commits?

While Git tracks history, this skill automates the 'save point' process specifically for AI workflows, including execution state and metadata that manual commits might omit.

What does AC Checkpoint Manager do?

It creates and manages snapshots of your code and project state, allowing you to rollback to previous versions if an autonomous task fails or produces unexpected errors.

Is it useful for autonomous refactoring?

Absolutely. It is specifically designed to provide a safety net before performing complex code transformations, ensuring you never lose a working state.

When are checkpoints created?

Checkpoints can be created manually or automatically before risky operations, at session boundaries, before new features, and after feature completion.

AC Checkpoint Manager

Name: AC Checkpoint Manager
Author: adaptationio

byadaptationio

开发者工具

Manages automated and manual code checkpoints to enable safe rollbacks during autonomous development sessions.

关于

AC Checkpoint Manager provides a robust safety net for autonomous AI development by creating and managing systematic restore points. By capturing file snapshots, Git references, and execution metadata, it allows developers or AI agents to revert to 'known-good' states after failed refactors or risky operations. It automates checkpoint creation at key milestones—such as feature completion or context compaction—ensuring project integrity and reducing the risk of destructive code changes during long-running autonomous tasks.

主要功能

Automated snapshotting before risky operations and feature starts
0 GitHub stars
Detailed metadata tracking including Git references and execution states
Manual checkpoint creation for user-defined milestones
Seamless restoration of previous project states to recover from errors
Systematic organization of recovery points within the project directory

使用场景

Rolling back code changes after a failed or buggy automated refactor
Managing session-based recovery points during high-stakes autonomous coding tasks
Creating a 'known-good' restore point before performing complex dependency updates

关于

主要功能

Automated snapshotting before risky operations and feature starts
0 GitHub stars
Detailed metadata tracking including Git references and execution states
Manual checkpoint creation for user-defined milestones
Seamless restoration of previous project states to recover from errors
Systematic organization of recovery points within the project directory

使用场景

Rolling back code changes after a failed or buggy automated refactor
Managing session-based recovery points during high-stakes autonomous coding tasks
Creating a 'known-good' restore point before performing complex dependency updates