Does Worktrunk support AI-generated commit messages?

Yes, it can be configured to interface with LLM CLI tools to analyze your changes and propose intelligent commit messages automatically during the merge process.

Is Worktrunk safe to use in existing repositories?

Absolutely. Worktrunk uses standard Git worktree functionality under the hood, and its project configurations are version-controlled and easily reversible.

How does Worktrunk differ from standard Git worktrees?

Worktrunk adds a powerful automation layer on top of standard Git commands, allowing for automated hooks (like installing dependencies) and LLM integration for AI-driven development.

Where does Worktrunk store its configuration?

It uses two locations: a personal user config at ~/.config/worktrunk/config.toml for private settings and a project config at .config/wt.toml for team-wide automation.

Can I use Worktrunk to enforce team-wide coding standards?

Yes, by committing a .config/wt.toml file to your repository, you can define shared pre-commit and pre-merge hooks that run for every team member using Worktrunk.

Worktrunk Git Worktree Manager

Name: Worktrunk Git Worktree Manager
Author: max-sixty

bymax-sixty

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Productivity & Workflow

Manages Git worktrees for parallel AI agent workflows with automated hooks and LLM integration.

About

Worktrunk is a specialized CLI tool designed to streamline Git worktree management, particularly for developers utilizing parallel AI agent workflows. It enables seamless switching between tasks, automated environment setup via project-specific hooks—such as post-create dependency installation and pre-merge testing—and advanced LLM integration for generating intelligent commit messages. By separating personal preferences from team-wide automation, Worktrunk provides a robust framework for managing complex, multi-tasking development environments efficiently.

Key Features

Direct integration with popular LLM CLI tools like 'llm' and 'aichat'
Automated Git worktree lifecycle management and switching
75 GitHub stars
LLM-powered commit message generation and AI workflow support
Dual-layer configuration for personal preferences and repository standards
Team-wide project hooks for automated environment setup and validation

Use Cases

Managing multiple feature branches simultaneously without context-switching in a single directory
Enhancing Git workflows with AI-generated commit messages based on worktree changes
Automating repetitive setup tasks like 'npm install' or 'cargo build' upon worktree creation

About

Key Features

Direct integration with popular LLM CLI tools like 'llm' and 'aichat'
Automated Git worktree lifecycle management and switching
75 GitHub stars
LLM-powered commit message generation and AI workflow support
Dual-layer configuration for personal preferences and repository standards
Team-wide project hooks for automated environment setup and validation

Use Cases

Managing multiple feature branches simultaneously without context-switching in a single directory
Enhancing Git workflows with AI-generated commit messages based on worktree changes
Automating repetitive setup tasks like 'npm install' or 'cargo build' upon worktree creation