Abstract

Embedded systems play a critical role in modern technology, yet traditional firmware development presents significant challenges, including steep learning curves, debugging complexities, and limited accessibility. To address these issues, we introduce Code- Gen Assist, an innovative software solution leveraging AI-powered natural language programming. Code-Gen Assist enables users to describe desired program functionality in natural language, democratizing embedded systems development and reducing the barrier to entry for newcomers. By automatically generating and executing code based on user inputs, it streamlines the development process, facilitating rapid prototyping and iteration. Embedded systems are ubiquitous in modern technology, yet their complexity often hinders accessibility for aspiring learners. This project tackles this challenge by proposing a paradigm shift in the learning approach for embedded systems. We aim to democratize access to this field by simplifying electronics and microcontroller programming, fostering engagement and enthusiasm. To bridge the gap between complexity and usability, our project utilizes cuttingedge components like the Raspberry Pi 4 Model B, a high-quality display and mini keyboard. This integration creates a tangible and versatile environment for users to explore embedded systems. Our innovative approach aims to not only enhance the learning experience but also lower the barrier to entry, igniting passion and fostering a new generation of embedded systems enthusiasts.This paper presents the design and implementation of Code-Gen Assist, highlighting its potential to revolutionize embedded systems development. Through evaluation of its accuracy, reduction in development time, and user experience, we demonstrate the feasibility and benefits of AI-powered natural language programming in this domain.