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Run approved AI repo changes one item at a time in isolated git worktrees, with verification, dual audits, and explicit human/external stop points.

3 starsPython

Run approved AI repo changes from a Markdown playbook

by EagleEdge·Mar 27, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainShip It

Dual LLM audits on frozen packets with explicit stop states beat fire-and-forget agent loops.

Strengths
  • Worktree-per-item isolation means each change attempt is independently auditable and reversible
  • Codex and Claude both audit the same frozen packet before merge, catching divergent failures
  • Four explicit terminal states (passed, awaiting_human_gate, blocked_external, escalated) enforce control
Weaknesses
  • AI code orchestration is increasingly crowded with Cursor, Continue, and Cognition-style tools
  • Zero stars and no release tags suggest this is early-stage with unproven adoption
Target Audience

Teams using AI coding agents who need audit trails and control

Similar To

Claude Code · OpenHands · SWE-agent

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