Debuggy Ducky: How an AI Duck on Raspberry Pi Can Significantly Enhance Your Coding Experience

Developers Addison Waller and Alexander Straub have introduced a unique project based on the Raspberry Pi, called Debuggy Ducky. This desktop rubber duck leverages the power of ChatGPT and is designed to assist with code debugging during programming sessions.

Debuggy Ducky uses speech recognition and synthesis features to interact with users. The device is built on a Raspberry Pi 4, enhanced with touch sensors, LEDs, and a servo motor that allows the duck to move its head. Simple USB microphone and speaker components are used for audio input and output. Inside the case, the duck’s components are held together with 3D-printed parts.

The main goal of Debuggy Ducky is to make finding and fixing bugs in code easier. To activate the device, simply touch the sensor—your audio input is converted to text and sent to ChatGPT. In addition to its smart assistant capabilities, the device also includes timer functions to help manage productive work and break periods.

The project runs on Raspberry Pi OS, which automatically launches the custom software developed by Waller and Straub when Debuggy Ducky is powered on. More details about how the device works, as well as its source code, are available on the project’s GitHub page.