132 citations · 239 across the 18 of their papers we have counts for
5 papers · 1 filter
Code in Space: How Multimodal Human-AI Experience Can Reshape the Future of Tech Creation
Ilya Zakharov, Ekaterina Koshchenko, Agnia Sergeyuk
Advances in artificial intelligence (AI) continue to reshape digital product development, yet the day-to-day tools for developers and designers remain bound to flat screens and 2D…
Configurable AI Coding Assistants: Designing For Developers Who Like to Be in Control
Ekaterina Koshchenko, Jovana Stankovic, Ilya Zakharov +1
AI coding assistants are now widely used in professional development, yet they offer only limited ways for developers to control how they behave. In this paper, we investigate what…
Trust-Calibrated Code Review: A Participatory Design Study of Review Workflows for LLM-Generated Multi-File Changes
Lo Gullstrand Heander, Agnia Sergeyuk, Ilya Zakharov +2
Background: Developers increasingly review multi-file code changes generated by LLM-based agents, yet no validated end-to-end workflow or IDE tooling design exists for this scenari…
Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
Nadine Kuo, Agnia Sergeyuk, Valerie Chen +1
Current in-IDE AI coding tools typically rely on time-consuming manual prompting and context management, whereas proactive alternatives that anticipate developer needs without expl…
Evolving with AI: A Longitudinal Analysis of Developer Logs
Agnia Sergeyuk, Eric Huang, Dariia Karaeva +3
AI-powered coding assistants are rapidly becoming fixtures in professional IDEs, yet their sustained influence on everyday development remains poorly understood. Prior research has…