11 papers
When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams
Giusy Annunziata, Rudrajit Choudhuri, Anita Sarma +2
Context: The growing adoption of AI-assisted development tools is changing how software teams collaborate, share knowledge, and coordinate, yet its consequences for team social dyn…
You Shall Not Pass! Where and Why Developers Draw The Line on AI Autonomy
Rudrajit Choudhuri, Christian Bird, Carmen Badea +2
As AI takes on more software work, the line between human and AI effort is shifting. Where developers draw that line around AI autonomy bears on how we design tools and roles that…
Thinking Less, Trusting More: GenAI's Impacts on Students' Cognitive Habits
Rudrajit Choudhuri, Christopher Sanchez, Margaret Burnett +1
Objectives: When students use generative AI in coursework, what are its persistent effects on their intellectual development? We investigate (RQ1-How) how students' trust in and ro…
To Copilot and Beyond: 22 AI Systems Developers Want Built
Rudrajit Choudhuri, Christian Bird, Carmen Badea +1
Developers spend roughly one-tenth of their workday writing code, yet most AI tooling targets that fraction. This paper asks what should be built for the rest. We surveyed 860 Micr…
AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird +3
Generative AI is reshaping software work, yet we lack clear guidance on where developers most need support and how to design it responsibly. We report a large-scale, mixed-methods…
What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5
Generative AI (genAI) tools promise productivity gains, yet miscalibrated trust and usage friction still hinder adoption. Moreover, genAI can be exclusionary, failing to adequately…