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Main Authors: Feng, Zixuan, Milewicz, Reed, Murphy-Hill, Emerson, Menezes, Tyler, Serebrenik, Alexander, Steinmacher, Igor, Sarma, Anita
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.04921
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author Feng, Zixuan
Milewicz, Reed
Murphy-Hill, Emerson
Menezes, Tyler
Serebrenik, Alexander
Steinmacher, Igor
Sarma, Anita
author_facet Feng, Zixuan
Milewicz, Reed
Murphy-Hill, Emerson
Menezes, Tyler
Serebrenik, Alexander
Steinmacher, Igor
Sarma, Anita
contents Open Source Software (OSS) communities face a wave of uncertainty as Generative AI (GenAI) rapidly transforms how software is created, maintained, and governed. Without clear frameworks, communities risk being overwhelmed by the complexity and ambiguity introduced by GenAI, threatening the collaborative ethos that underpins OSS. To address this gap, we present a Socio-Technical System (STS)-guided conceptual framework that applies McLuhan's Tetrad as an analytic lens to articulate how GenAI reshapes the socio-technical dynamics of OSS development. Through a scenario-based exploration across four components of the STS-guided framework, software practices, documentation, community engagement, and governance, we identify plausible socio-technical impacts and outline a corresponding Roadmap for sustaining OSS communities in the Age of GenAI. This Roadmap will enable OSS researchers and practitioners to interpret emerging transformations, anticipate challenges, and design interventions that foster long-term community resilience. By adopting this framework, OSS leaders and researchers can proactively shape the future of their ecosystems, rather than simply reacting to technological upheaval.
format Preprint
id arxiv_https___arxiv_org_abs_2508_04921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Charting Uncertain Waters: A Socio-Technical Roadmap for Sustaining Open Source Communities in the Age of GenAI
Feng, Zixuan
Milewicz, Reed
Murphy-Hill, Emerson
Menezes, Tyler
Serebrenik, Alexander
Steinmacher, Igor
Sarma, Anita
Software Engineering
Open Source Software (OSS) communities face a wave of uncertainty as Generative AI (GenAI) rapidly transforms how software is created, maintained, and governed. Without clear frameworks, communities risk being overwhelmed by the complexity and ambiguity introduced by GenAI, threatening the collaborative ethos that underpins OSS. To address this gap, we present a Socio-Technical System (STS)-guided conceptual framework that applies McLuhan's Tetrad as an analytic lens to articulate how GenAI reshapes the socio-technical dynamics of OSS development. Through a scenario-based exploration across four components of the STS-guided framework, software practices, documentation, community engagement, and governance, we identify plausible socio-technical impacts and outline a corresponding Roadmap for sustaining OSS communities in the Age of GenAI. This Roadmap will enable OSS researchers and practitioners to interpret emerging transformations, anticipate challenges, and design interventions that foster long-term community resilience. By adopting this framework, OSS leaders and researchers can proactively shape the future of their ecosystems, rather than simply reacting to technological upheaval.
title Charting Uncertain Waters: A Socio-Technical Roadmap for Sustaining Open Source Communities in the Age of GenAI
topic Software Engineering
url https://arxiv.org/abs/2508.04921