rubber-ducky 1.0.1

AI Companion for Pair Programming

rubber ducky

tl;dr

• pip install rubber-ducky
• Install ollama
• ollama run codellama (first time and then you can just have application in background)
• There are probably other dependencies which I forgot to put in setup.py sorry in advance.
• run with ducky --file <path> --prompt (optional) <prompt to override>

Why did I make this

I wrote ducky because I annoy engineers too much and I needed to talk someone through my code quickly and validate my approach. Maybe this is why I'm not a senior engineer.

Since I can't dump all my code to GPT and make it tell me I know how to code, I decided to build something for quick iteration. All. Local. I also didn't want to get fired by leaking all our data. Not again.

Dependencies

Bless the folks at Ollama cause they have been carrying my recent projects.

This project is currently only supported on Mac and Linux cause Ollama is a dependency. You will need Ollama installed on your machine. The model I use for this project is codellama.

For the first installation you can run ollama run codellama and it should pull the necessary binaries for you. Ollama is also great because it'll spin up a server which can run in the background and can even do automatic model switching as long as you have it installed.

Usage

Make sure you have the package installed. Easiest through pypi.

pip install rubber-ducky also works.

To run:

ducky --file <path> --prompt (optional) <prompt to override>

I have yet to implement some methods so if you do something I don't say that's on you.