Cursor Built-in Worktree: Advanced Usage
Multi-task parallel strategy, when to choose Merge vs Full Overwrite on Apply, conflict handling, and worktree management in practice.
13 articles
Multi-task parallel strategy, when to choose Merge vs Full Overwrite on Apply, conflict handling, and worktree management in practice.
Run the same prompt with multiple models, pick the best result; customize setup and migration with worktrees.json, and worktree cleanup settings.
Use -p/--print for non-interactive runs; combine with --force so the Agent writes to disk. Ideal for scripts, batch jobs, and automation.
When to use text, json, and stream-json; parsing results in CI, live progress, and failure handling.
Resume the last conversation with --resume, list history with cursor agent ls, and run long tasks in the cloud with -c so they keep running after you close the terminal.
Cursor CLI brings your AI assistant to the terminal: write, edit, and ask questions without opening the IDE. Perfect for servers, scripts, and keyboard-driven workflows.
Install Cursor CLI in one terminal command using the official script. Supports macOS, Linux, WSL, and Windows.
The most common approach: use cursor agent to run commands or enter conversation mode; cursor ask for read-only questions; use --path to specify a working directory.
Agent modifies files, Plan drafts a plan before acting, Ask is read-only. One sentence to tell them apart — and learn to switch with slash commands mid-conversation.
Use --no-interactive to let the AI run to completion without waiting for input. Perfect for scripts and CI. Optionally pick --model or use -c to run in the cloud.
Resume conversations with --resume, confirm before running commands, use CLI alongside the IDE, plus answers to FAQs about command not found, pricing, and server usage.
Worktree gives the same repo multiple directories; CLI acts on whichever directory it runs in. Together they enable parallel work across branches with multiple terminals.
Write a shell script that has cursor agent automatically fix code, run tests, and if tests fail let the AI fix again — repeating until all tests pass.