groundhog

Groundhog is a Rust-based coding assistant designed to help users understand how coding agents and tooling underneath modern AI copilots work. It provides a CLI with commands such as explain, which generates detailed explanations for code snippets and files. Groundhog emphasizes learning by showing how the tooling operates, making it suitable for educational use or for developers looking to inspect the internals of coding assistants. After starting the server, you can invoke Groundhog from the terminal to request explanations for specific code sections, and you can expect structured, step-by-step interpretations that reveal underlying concepts and decision processes.

Using Groundhog’s CLI, the available command set is introduced in the interface: for example, groundhog explain will produce explanations for a given snippet or file. The repository documentation mentions additional commands and a growing feature set, with a focus on architecture insights, logging/telemetry, and a clear CLI workflow. This makes Groundhog a practical tool for exploring how coding agents operate behind the scenes while still providing a usable command-line experience.

Prerequisites:

• Rust toolchain (rustup, cargo)
• Git

Step-by-step installation:

1. Install Rust (if not already installed)
   • On Unix/macOS: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
   • On Windows: follow the official Rust install guide at https://www.rust-lang.org/tools/install
2. Clone the Groundhog repository: git clone https://github.com/ghuntley/groundhog.git cd groundhog
3. Build Groundhog (production release): cargo build --release
4. Run Groundhog: ./target/release/groundhog explain (Alternatively use cargo run --release to compile and run in one step during development)

Notes:

• Groundhog uses Rust and requires the Rust toolchain to compile. If you plan to contribute or customize, ensure you have the appropriate version of Rust as specified in the repository’s specs.
• If you encounter missing dependencies or build failures, verify that your Rust toolchain is up to date (rustup update) and that you are on a supported platform.

Tips and considerations:

• Groundhog emphasizes educational insights into how coding assistants work, so expect detailed explanations that reveal underlying concepts.
• If you enable logging, you can adjust log levels via environment variables (e.g., RUST_LOG=groundhog=info) to help with debugging.
• The documentation folder (specs/) contains architecture, CLI interface, logging/telemetry, and command references which are useful for understanding how to extend or modify the tool.
• As Groundhog evolves, new commands may be added; keep an eye on the specs directory or repository updates for the latest capabilities.