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Using AI for prototype development in the systems analysis and design course

This study examines the feasibility of using generative AI to support prototype development in the Systems Analysis and Design (SAD) course. It highlights the importance of the SAD course within Information Systems curricula and considers the emerging practice of “vibe” coding as a means of developing prototypes. Four generative AI tools (Lovable, Replit, Cursor, and Claude Code) were evaluated, with their respective strengths and limitations analyzed. The findings indicate that these tools are capable of producing functional and usable prototypes, exceeding initial expectations. The study also underscores the importance of structured analysis techniques in improving the quality of AI-generated prototypes. Overall, the results inform instructional practices by identifying opportunities to enhance the SAD course and by suggesting potential curriculum adjustments to existing programming courses.

John Anderson
Utah Valley University
United States

Dan McDonald
Utah Valley University
United States