databendlabs/snowtree
Review-Driven Safe AI Coding
Isolates each AI coding session in a dedicated Git worktree, enabling parallel exploration without merge conflicts, while enforcing incremental review cycles where staged snapshots become the canonical baseline for subsequent generations. Integrates directly with CLI agents (Claude Code, Codex, Gemini CLI, Kimi Code) to automate commits, PR synchronization, rebasing, and conflict resolution—all within the reviewed boundary. The workflow bridges the gap between AI generation velocity and code safety by making staged changes immutable references rather than requiring full-session rollbacks.
Stars
54
Forks
10
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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