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Groundhog
What is Groundhog
Groundhog is an AI coding assistant designed primarily to teach users how coding agents like Cursor function internally. It aims to provide a foundational understanding of these tools, enabling users to utilize them more effectively or even create their own.
Use cases
Use cases for Groundhog include learning how to interpret and understand code snippets, enhancing debugging skills, and exploring the architecture of coding agents. It serves as a foundational tool for those interested in coding and software development.
How to use
To use Groundhog, you can execute commands through its command-line interface. The basic command structure is ‘Groundhog
Key features
Key features of Groundhog include detailed code explanations, a modern architecture built with Rust for enhanced performance and reliability, comprehensive logging and telemetry for debugging, and an easy-to-use CLI interface.
Where to use
Groundhog can be utilized in educational settings, software development environments, and by individuals looking to deepen their understanding of coding assistants and their underlying mechanisms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Groundhog
Groundhog is an AI coding assistant designed primarily to teach users how coding agents like Cursor function internally. It aims to provide a foundational understanding of these tools, enabling users to utilize them more effectively or even create their own.
Use cases
Use cases for Groundhog include learning how to interpret and understand code snippets, enhancing debugging skills, and exploring the architecture of coding agents. It serves as a foundational tool for those interested in coding and software development.
How to use
To use Groundhog, you can execute commands through its command-line interface. The basic command structure is ‘Groundhog
Key features
Key features of Groundhog include detailed code explanations, a modern architecture built with Rust for enhanced performance and reliability, comprehensive logging and telemetry for debugging, and an easy-to-use CLI interface.
Where to use
Groundhog can be utilized in educational settings, software development environments, and by individuals looking to deepen their understanding of coding assistants and their underlying mechanisms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Groundhog AI Coding Assistant
Groundhog’s primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!). As part of the series kicked off at http://ghuntley.com/specs we’ll be building it together, increment by increment.
Please don’t raise GitHub issues mentioning that XYZ does not work as I’m yet to decide on the community model around the project and doing customer support for free is not high up on my list.
Groundhog is a teaching tool first. If you want a full-blown thing right now, go check out “Goose”, “Roo/Cline”, “Aider” or “AllHands”.
Features
- Code Explanation: Get detailed explanations of code snippets and files
- Modern Architecture: Built with Rust for performance and reliability
- Comprehensive Logging: Built-in logging and telemetry for debugging and monitoring
- CLI Interface: Easy-to-use command-line interface
Installation
[Installation instructions to be added]
Usage
The basic command structure is:
Groundhog <command> [options]
Available Commands
explain
: Get explanations for code snippets or filesGroundhog explain
More commands will be added in future releases.
Development
Prerequisites
- Rust toolchain
- [Other prerequisites to be added]
Building from Source
git clone [repository-url]
cd Groundhog
cargo build
Running Tests
cargo test
Documentation
Detailed documentation is available in the specs/
directory:
Contributing
[Contribution guidelines to be added]
License
[License information to be added]
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.