coderabbit-cli

# CodeRabbit CLI AI code reviews directly in the terminal before commit. Reviews uncommitted changes, supports agent-friendly output modes, and integrates well with coding-agent fix loops. - **Docs**: https://docs.coderabbit.ai/cli/overview - **Docs Index**: https://docs.coderabbit.ai/llms.txt - **Status**: Open beta ## Installation ```bash # Install script curl -fsSL https://cli.coderabbit.ai/install.sh | sh # Homebrew brew install coderabbit ``` The CLI binary is `coderabbit`, with `cr` as a short alias. ## Authentication ```bash # Browser-based login cr auth login # API key login coderabbit auth login --api-key "cr-************" ``` CodeRabbit links the CLI to your account so reviews can use plan limits, team learnings, and codebase context where available. ## Key Commands ```bash # Review current repo changes cr # Plain text output cr --plain # Minimal output for AI coding agents cr --prompt-only # Review against a non-main base branch cr --base develop # Explicitly review uncommitted changes cr --prompt-only --type uncommitted ``` The CLI must be run from inside a Git repository. ## Agent-Friendly Features - `cr --prompt-only` for minimal agent-oriented output - `--plain` for detailed terminal review output without the full interactive UI - Works well in background review/fix loops for coding agents - Reviews local, uncommitted changes before code reaches a PR - Can apply simple suggested fixes directly from the interactive interface - Native guidance for Claude Code and Codex workflows in the docs ## Suggested Agent Workflow ```text Implement the task, then run cr --prompt-only --type uncommitted in the background. Fix major issues only. Run one final pass after the fixes and stop after two loops. ``` Use CodeRabbit to detect issues, then use the coding agent to implement the fixes. This is especially useful for race conditions, memory leaks, logic bugs, and security findings that are easier to address before commit.