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Boost Productivity: Using git-worktree with AI Coding Tools
- Utilizing git-worktree with AI coding tools like GitHub Copilot, Cursor, Claude Code, OpenAI Codex, etc., can boost productivity by allowing developers to work on different tasks simultaneously.
- git-worktree enables developers to perform tasks like fixing pull requests, reviewing code, addressing urgent bug fixes, working on documentation or tests, and more while AI coding agents are executing their tasks.
- git worktree allows checking out multiple branches into separate directories simultaneously, offering benefits like working on multiple branches without committing, each directory having its independent state, and sharing the same Git history for efficient storage.
- To use git-worktree, developers can create worktrees for existing branches, create new branches and worktrees in one command, list all worktrees, and remove worktrees when done. It's important to manually copy .env files and other ignored files to new worktrees when necessary.
- Combining git-worktree with AI coding tools facilitates a parallel development workflow, where developers can stay productive in different directories while coding agents are generating code. This approach eliminates idle waiting time and maximizes overall productivity.
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