Investigating the Impact of AI-Assisted Tools on Software Practitioner Well-Being

Abstract

The rapid integration of AI-assisted tools such as ChatGPT, GitHub Copilot, and Gemini into software development has reshaped how practitioners perform tasks, collaborate, and manage their workloads. While these tools offer productivity gains, they also introduce new job demands, such as cognitive overload, emotional stress, and blurred work-life boundaries that can affect practitioners’ well-being. We designed a research study to investigate the short and long-term well-being impacts of AIassisted tools on software practitioners, using the Job DemandsResources (JD-R) model as a guiding framework. Through a mixed-methods study combining survey and interview data, we aim to identify both beneficial and harmful patterns emerging from use of AI-assisted tools. Our findings thus far suggest both positive and negative impacts of AI-Assisted tools on software practitioner well-being. We also found significant differences in impact between practitioners with and without neurocognitive conditions, underscoring the need for inclusive tool design and thoughtful organizational policies. This research contributes theoretical insights into the evolving human-tool relationship in software development and aims to inform the ethical and sustainable integration of AI into developer workflows.

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