From Teacher to Colleague: How Coding Experience Shapes Developer Perceptions of AI Tools
April 08, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Ilya Zakharov, Ekaterina Koshchenko, Agnia Sergeyuk
arXiv ID
2504.13903
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SE
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
AI-assisted development tools promise productivity gains and improved code quality, yet their adoption among developers remains inconsistent. Prior research suggests that professional expertise influences technology adoption, but its role in shaping developers' perceptions of AI tools is unclear. We analyze survey data from 3380 developers to examine how coding experience relates to AI awareness, adoption, and the roles developers assign to AI in their workflow. Our findings reveal that coding experience does not predict AI adoption but significantly influences mental models of AI's role. Experienced developers are more likely to perceive AI as a junior colleague, a content generator, or assign it no role, whereas less experienced developers primarily view AI as a teacher. These insights suggest that AI tools must align with developers' expertise levels to drive meaningful adoption.
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