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Managing AI-generated changes using isolated worktrees to ensure a linear and clean commit history.
Distinct from Git Workflows: Specifically applies git workflow management to the needs of autonomous agents, focusing on squash-merging isolated work.
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This project is an autonomous AI software development framework designed to plan, code, test, and commit software milestones without human intervention. It functions as a state-machine-driven agent loop that orchestrates development through a recurring cycle of research, execution, and verification. The system distinguishes itself through a git-isolated task runner that executes milestones in separate worktrees and branches, ensuring changes are squash-merged into a linear commit history. It features a multi-model routing gateway that assigns different LLM providers to specific workflow phase
Isolates AI-generated changes within dedicated git worktrees and branches to maintain a clean commit history.