"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866916868044881920 |
|---|---|
| author | Miller, Courtney Choudhuri, Rudrajit Ulloa, Mara Haniyur, Sankeerti DeLine, Robert Storey, Margaret-Anne Murphy-Hill, Emerson Bird, Christian Butler, Jenna L. |
| author_facet | Miller, Courtney Choudhuri, Rudrajit Ulloa, Mara Haniyur, Sankeerti DeLine, Robert Storey, Margaret-Anne Murphy-Hill, Emerson Bird, Christian Butler, Jenna L. |
| contents | Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivity efforts, frustrates management's expectations, and creates uncertainty around the future roles of developers. Through paired interviews with 54 developers across 27 teams -- one frequent and one infrequent user per team -- we demonstrate that differences in usage result primarily from how developers perceive the tool (as a collaborator vs. feature), their engagement approach (experimental vs. conservative), and how they respond when encountering challenges (with adaptive persistence vs. quick abandonment). Our findings imply that widespread organizational expectations for rapid productivity gains without sufficient investment in learning support creates a "Productivity Pressure Paradox," undermining the very productivity benefits that motivate adoption. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21280 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | "Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use Miller, Courtney Choudhuri, Rudrajit Ulloa, Mara Haniyur, Sankeerti DeLine, Robert Storey, Margaret-Anne Murphy-Hill, Emerson Bird, Christian Butler, Jenna L. Software Engineering Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivity efforts, frustrates management's expectations, and creates uncertainty around the future roles of developers. Through paired interviews with 54 developers across 27 teams -- one frequent and one infrequent user per team -- we demonstrate that differences in usage result primarily from how developers perceive the tool (as a collaborator vs. feature), their engagement approach (experimental vs. conservative), and how they respond when encountering challenges (with adaptive persistence vs. quick abandonment). Our findings imply that widespread organizational expectations for rapid productivity gains without sufficient investment in learning support creates a "Productivity Pressure Paradox," undermining the very productivity benefits that motivate adoption. |
| title | "Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2507.21280 |