Understanding and Designing for Trust in AI-Powered Developer Tooling

Understanding and Designing for Trust in AI-Powered Developer Tooling

Trust is central to how developers engage with AI. In this article, we discuss what we learned from developers about their level of trust in AI powered developer tooling, and how we translated those findings into product design recommendations to support customization, and the challenges we encounte...

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Veröffentlicht in:IEEE software 2024-11, Vol.41 (6), p.23-28
Hauptverfasser: Murillo, Ambar, Elizondo, Alberto, D'Angelo, Sarah, Brown, Adam, Kumar, Ugam, Madison, Quinn, Macvean, Andrew, Jaspan, Ciera, Green, Collin
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Codes
Encoding
Product design
Productivity
Software development management
Software reliability
Surveys
Tooling
Trusted computing
User experience
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Beschreibung
Zusammenfassung:Trust is central to how developers engage with AI. In this article, we discuss what we learned from developers about their level of trust in AI powered developer tooling, and how we translated those findings into product design recommendations to support customization, and the challenges we encountered along the way.
ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2024.3439108