This paper explores the integration of AI tools, such as ChatGPT and GitHub Copilot, in the Software Architecture for Embedded Systems course. AI-supported workflows enabled students to rapidly prototype complex projects, emphasizing real-world applications like SLAM robotics. Results demon-started enhanced problem-solving, faster development, and more sophisticated outcomes, with AI augmenting but not replacing human decision-making.
View on arXiv@article{adorni2025_2503.16307,
title={ Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education },
author={ Giovanni Adorni and Daniele Grosso },
journal={arXiv preprint arXiv:2503.16307},
year={ 2025 }
}