At What Cost? Software Developers’ Well-Being in the Age of GenAI
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.
Thu 9 JulDisplayed time zone: Eastern Time (US & Canada) change
10:30 - 12:30 | DevelopersJournal-First Paper / Research Papers / Ideas, Visions and Reflections / Re-routed Presentations from Past Years at MB 2.210 Chair(s): Ying Zhang | ||
10:30 20mTalk | On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors Research Papers Yuhong Liu Beihang University, YUNHE SU , Zhipeng Peng Beihang University, Zhiwen Luo Beihang University, Lin Shi Beihang University, Zhi Jin Wuhan University, Li Zhang Beihang University Pre-print | ||
10:50 10mTalk | At What Cost? Software Developers’ Well-Being in the Age of GenAI Ideas, Visions and Reflections Mariam Guizani Queen's University, Canada, Maduka Subasinghage The University of Western Australia, Sherlock A. Licorish University of Otago, Sofia Ouhbi Uppsala University Pre-print | ||
11:00 20mTalk | How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior Research Papers Yinan Wu North Carolina State University, Ze Shi (Zane) Li University of Oklahoma, Kathryn Stolee North Carolina State University, Bowen Xu North Carolina State University DOI Pre-print | ||
11:30 20mResearch paper | ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering Research Papers Md Awsaf Alam Anindya Bangladesh University of Engineering and Technology, Showvik Biswas Bangladesh University of Engineering and Technology, Anindya Iqbal Bangladesh University of Engineering and Technology Dhaka, Bangladesh, Jaydeb Sarker University of Nebraska at Omaha, Amiangshu Bosu Wayne State University Link to publication DOI Pre-print Media Attached | ||
11:50 20mTalk | Automated Extraction and Analysis of Developer's Rationale in Open Source Software Re-routed Presentations from Past Years Mouna Dhaouadi University of Montreal, Bentley Oakes Polytechnique Montréal, Michalis Famelis Université de Montréal Link to publication DOI | ||
12:10 20mTalk | Leveraging Risk Models to Improve Productivity for Effective Code Un-Freeze at Scale Journal-First Paper Audris Mockus University of Tennessee, Rui Abreu Faculty of Engineering of the University of Porto, Portugal, Peter C Rigby Meta / Concordia University, David Amsallem Meta Platforms, Inc., Parveen Bansal Meta Platforms, Inc., Kaavya Chinniah Meta Platforms, Inc., Brian Ellis Meta Platforms, Inc., Peng Fan Meta Platforms, Inc., Jun Ge Meta Platforms, Inc., Wenlei He Meta, Kelly Hirano Meta Platforms, Inc., Sahil Kumar Meta Platforms, Inc., Ajay Lingapuram Meta Platforms, Inc., W. Andrew Loe III Meta Platforms, Inc., Megh Mehta Meta Platforms, Inc., Venus Montes Meta Platforms, Inc., Maher Saba Meta Platforms, Inc., Gursharan Singh Meta Platforms, Inc., Matt Steiner Meta Platforms, Inc., Weiyan Sun Meta Platforms, Inc., Siri Uppalapati Meta Platforms, Inc., Nachiappan Nagappan Meta Platforms, Inc. | ||