Continuous Workspace Snapshots for Agent-Edited Codebases
AI agents can change dozens of files between human checkpoints, and normal Git habits do not capture every intermediate state. The Unfudged HN discussion contains direct user pain around forgetting to commit, relying on Time Machine, and needing protection from fast agent edits. The opportunity is a local-first safety layer that records file changes continuously, summarizes agent sessions, and restores specific files or edits without polluting human Git history.
Problem Statement
A developer asks an agent for a broad refactor, the agent rewrites 30 files, and only later does the developer notice a small destructive change. Git helps only if a commit or worktree captured the right moment; editor undo disappears after close; system backups are too coarse. Developers need a timeline of every save with enough context to inspect, diff, and restore without turning every agent step into a Git commit.
The Idea
Build a continuous file-change recorder for developers using coding agents who need second-by-second recovery and review between Git commits.
Why Now
Agent workflows increased the velocity and volume of local file changes. In the thread, the author explicitly tied the need to agents rewriting codebases faster than humans commit, while users described existing workarounds such as Time Machine, frequent commits, Magit WIP mode, and jujutsu snapshots as partial fits.
Target User
Developers using AI coding agents for multi-file refactors, bug fixes, migrations, or long-running sessions.
Target Market
Local-first developer productivity and safety tooling for AI-assisted software development.
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