A double-edged sword: AI use by software developers – a netnography study

At present, software developers are widely using various AI tools for their development tasks, including code generation, debugging and test case generation. While the general understanding of AI use is beneficial for developers, there’sa limited understanding of how AI impacts the professional identity of software developers. Using AI tools such as GitHub Copilot, ChatGPT, and Gemini can result in identity enhancements and threats, leading to adapt their identities in response to AI use. Therefore, this study explores these changes in developer identity and how they respond to AI use, with a special focus on extrapolating towards the future based on the current changes. By adopting a netnography approach, this study collected 27,751 online data blocks and analysed them using topic modelling. We identified five impact categories and four AI-identity influence modes on professional role identity and different responses, which will also help to comprehend the future of software developers.

Publication Details

Journal
UWA Profiles and Research Repository (University of Western Australia)
Published
2025-12-14
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A double-edged sword: AI use by software developers – a netnography study

UWA Profiles and Research Repository (University of Western Australia)
Artificial Intelligence in Healthcare and Education
article

A double-edged sword: AI use by software developers – a netnography study

article en

Abstract

At present, software developers are widely using various AI tools for their development tasks, including code generation, debugging and test case generation. While the general understanding of AI use is beneficial for developers, there’sa limited understanding of how AI impacts the professional identity of software developers. Using AI tools such as GitHub Copilot, ChatGPT, and Gemini can result in identity enhancements and threats, leading to adapt their identities in response to AI use. Therefore, this study explores these changes in developer identity and how they respond to AI use, with a special focus on extrapolating towards the future based on the current changes. By adopting a netnography approach, this study collected 27,751 online data blocks and analysed them using topic modelling. We identified five impact categories and four AI-identity influence modes on professional role identity and different responses, which will also help to comprehend the future of software developers.

UWA Profiles and Research Repository (University of Western Australia)
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A double-edged sword: AI use by software developers – a netnography study · UWA Profiles and Research Repository (University of Western Australia) (2025) | TGRS Research Map | TGRS