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At What Cost? Software Developers' Well-Being in the Age of GenAI
Preprint   Open access

At What Cost? Software Developers' Well-Being in the Age of GenAI

Mariam Guizani, Maduka Subasinghage, Sherlock A Licorish and Sofia Ouhbi
ArXiv.org
Cornell University
21/05/2026
Handle:
https://hdl.handle.net/10523/51098

Abstract

Computer Science - Software Engineering Generative AI software engineering well-being developers
Generative Artificial Intelligence (GenAI) is rapidly reshaping software development, with growing emphasis on accelerating productivity and optimizing performance. However, excessive focus on such dimensions risks overlooking the critical implications for developer well-being. GenAI tools can amplify cognitive load, introduce new forms of oversight labor, and escalate expectations around output and pace, contributing to stress, burnout, and diminished work-life balance. The GenAI movement is also transforming professional norms, altering career entry points, demanding continuous adaptation, and deepening inequalities in access and support. This position paper calls for a reorientation of the GenAI research agenda in software development and proposes a theoretical framework to move beyond narrow performance metrics toward investigations that also center on human experience, social context, and sustainable productivity.
pdf
2605.22349v1764.19 kBDownloadView
Preprint (Author's original) Open Access CC BY V4.0
url
https://doi.org/10.48550/arXiv.2605.22349View
Preprint (Author's original) Open CC BY V4.0

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