Commons-Based Memories: Programming Practices and Large Language Models

Abstract This article examines the role of digital interfaces in the creation and access of productive memory in the context of programming communities of practice. We first propose an analysis of question-and-answer platforms as the dominant means of creating such memories, and how such technical environment results in the constitution of knowledge commons. We then contrast these means with the emergence of programming-focused large language models, and how they represent a shift from large collaborative environment to non-human collaboration. As a result, we draw some implications regarding the sustainability of knowledge commons as well as the complementarity of digital devices in affecting the knowledge and values of the collective memories of programmers.

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Publication Details

Journal
Memory studies review.
Published
2024-11-18
DOI
https://doi.org/10.1163/29498902-202400018
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Commons-Based Memories: Programming Practices and Large Language Models

Pierre Depaz
Memory studies review.
Software Engineering Research
article

Commons-Based Memories: Programming Practices and Large Language Models

Pierre Depaz
article en

Abstract

Abstract This article examines the role of digital interfaces in the creation and access of productive memory in the context of programming communities of practice. We first propose an analysis of question-and-answer platforms as the dominant means of creating such memories, and how such technical environment results in the constitution of knowledge commons. We then contrast these means with the emergence of programming-focused large language models, and how they represent a shift from large collaborative environment to non-human collaboration. As a result, we draw some implications regarding the sustainability of knowledge commons as well as the complementarity of digital devices in affecting the knowledge and values of the collective memories of programmers.

Memory studies review.Vol. 1(2)
Université Sorbonne Nouvelle (FR), New York University (US)
Openalex Percentile: Top 68%
Software Engineering Research
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