Problem solved

Developers running multiple AI coding agents often manually juggle issue trackers, git worktrees, pull requests, and terminal sessions, which leads to context switching, duplicated setup, and lost work. Pappardelle automates this setup by generating the issue, worktree, PR, and Claude Code session in a structured tmux layout.

Use cases

• Create a Linear, GitHub, or beads issue from a natural-language task description.
• Launch a Claude Code session in a dedicated git worktree for each task.
• Run multiple Claude Code sessions in parallel using a three-pane tmux layout.
• Automatically open a pull request tied to an AI-assisted coding task.
• Track and manage AI coding work across issue trackers and git worktrees.
• Reduce terminal clutter when coordinating parallel AI agents.
• Standardize multi-agent development workflows for teams using Claude Code.

Audience

• Developers
• ML Engineers
• Hobbyists

Pros

• Automates issue creation, git worktree setup, PR opening, and Claude Code session launch.
• Supports multiple issue trackers: Linear, GitHub, and beads.
• Keeps parallel AI coding sessions organized in a single tmux layout.
• Open source and terminal-native, fitting existing developer workflows.
• Reduces context switching and manual git/issue management.

Cons

• Requires tmux and Claude Code to be installed and configured.
• Terminal-only interface may not suit developers who prefer graphical tools.
• Assumes familiarity with git worktrees, issue trackers, and tmux.
• Documentation and community may be limited for a new open-source project.
• Workflow is specific to Claude Code and may not support other AI coding agents out of the box.