132 citations · 239 across the 18 of their papers we have counts for
6 papers · 1 filter
Developer Needs and Feasible Features for AI Assistants in IDEs
Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov +2
Despite the increasing presence of AI assistants in Integrated Development Environments (IDEs), it remains unclear what different groups of developers actually need from these tool…
Assessing Consensus of Developers' Views on Code Readability
Agnia Sergeyuk, Olga Lvova, Sergey Titov +3
The rapid rise of Large Language Models (LLMs) has changed software development, with tools like Copilot, JetBrains AI Assistant, and others boosting developers' productivity. Howe…
Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
Agnia Sergeyuk, Yaroslav Golubev, Timofey Bryksin +1
Context. The last several years saw the emergence of AI assistants for code - multi-purpose AI-based helpers in software engineering. As they become omnipresent in all aspects of s…
A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…
Reassessing Java Code Readability Models with a Human-Centered Approach
Agnia Sergeyuk, Olga Lvova, Sergey Titov +4
To ensure that Large Language Models (LLMs) effectively support user productivity, they need to be adjusted. Existing Code Readability (CR) models can guide this alignment. However…
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk, Sergey Titov, Maliheh Izadi
Integrated Development Environments (IDEs) have become central to modern software development, especially with the integration of Artificial Intelligence (AI) to enhance programmin…