DOI
10.62273/HMAD7698
Abstract
Attention-deficit/hyperactivity disorder (ADHD) significantly impacts computer programmers through challenges in sustained attention, executive functioning, and organizational skills. While traditional intervention strategies have shown varying degrees of success, the emergence of generative artificial intelligence (AI) presents novel opportunities to address ADHD-related programming challenges. This paper presents an inductive analysis synthesizing current research on ADHD's effects on programming, traditional productivity enhancement techniques, and the potential of generative AI tools. Through examination of recent literature and field studies, we propose that generative AI can serve as a transformative intervention by providing personalized cognitive support, reducing executive function demands, and enhancing code generation efficiency. Our analysis suggests that AI-powered programming assistants can particularly benefit entry-level and junior programmers with ADHD by automating routine tasks, breaking complex problems into manageable steps, and providing real-time guidance. This research contributes to the growing body of knowledge on neurodevelopmental accommodations in technology sectors and provides practical implications for educational institutions and software development organizations.
Document Type
Article
Publication Date
9-2026
Publisher Statement
© Published by ISCAP, Information Systems and Computing Academic Professionals, North Carolina, USA
Recommended Citation
Mew, L., (2026). Enhancing Programming Productivity for Individuals with ADHD Through Generative Artificial Intelligence: An Inductive Analysis. Journal of Information Systems Applied Research and Analytics 19(3) pp 41-49. https://doi.org/10.62273/HMAD7698
