6 papers
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…
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…
"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
Courtney Miller, Rudrajit Choudhuri, Mara Ulloa +6
Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivit…
Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products
Nadia Nahar, Christian Kästner, Jenna Butler +3
Large Language Models (LLMs) are increasingly embedded into software products across diverse industries, enhancing user experiences, but at the same time introducing numerous chall…
GEMS: Generative Expert Metric System through Iterative Prompt Priming
Ti-Chung Cheng, Carmen Badea, Christian Bird +4
Across domains, metrics and measurements are fundamental to identifying challenges, informing decisions, and resolving conflicts. Despite the abundance of data available in this in…