TY - GEN
T1 - Forecasting Developer Environments with GenAI
T2 - 3rd ACM/IEEE International Workshop on Integrated Development Environments, IDE 2026
AU - Kula, Raula Gaikovina
AU - Treude, Christoph
AU - Hu, Xing
AU - Baltes, Sebastian
AU - Barr, Earl T.
AU - Blincoe, Kelly
AU - Calefato, Fabio
AU - Chen, Junjie
AU - Cheong, Marc
AU - Fan, Youmei
AU - German, Daniel M.
AU - Gerosa, Marco
AU - Guo, Jin L.C.
AU - Hayashi, Shinpei
AU - Hirschfeld, Robert
AU - Holmes, Reid
AU - Huo, Yintong
AU - Kobayashi, Takashi
AU - Lanza, Michele
AU - Liu, Zhongxin
AU - Nourry, Olivier
AU - Novielli, Nicole
AU - Poshyvanyk, Denys
AU - Saito, Shinobu
AU - Shimari, Kazumasa
AU - Steinmacher, Igor
AU - Wessel, Mairieli
AU - Wagner, Markus
AU - Vella, Annie
AU - Williams, Laurie
AU - Xia, Xin
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/6/1
Y1 - 2026/6/1
N2 - Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ability to increase the level of abstraction away from writing code has the potential to change the Human-AI interaction within the integrated development environment (IDE). To explore the impact of GenAI on IDEs, 33 experts from the Software Engineering, Artificial Intelligence, and Human-Computer Interaction domains gathered to discuss challenges and opportunities at Shonan Meeting 222, a four-day intensive research meeting. Four themes emerged as areas of interest for researchers and practitioners.
AB - Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ability to increase the level of abstraction away from writing code has the potential to change the Human-AI interaction within the integrated development environment (IDE). To explore the impact of GenAI on IDEs, 33 experts from the Software Engineering, Artificial Intelligence, and Human-Computer Interaction domains gathered to discuss challenges and opportunities at Shonan Meeting 222, a four-day intensive research meeting. Four themes emerged as areas of interest for researchers and practitioners.
KW - Development frameworks
KW - Foundation Models
KW - Generative Artificial Intelligence
KW - Human-AI Collaboration
UR - https://www.scopus.com/pages/publications/105041955155
UR - https://www.scopus.com/pages/publications/105041955155#tab=citedBy
U2 - 10.1145/3786151.3788604
DO - 10.1145/3786151.3788604
M3 - Conference contribution
AN - SCOPUS:105041955155
T3 - Proceedings - 2026 IEEE/ACM 3rd IDE Workshop, IDE 2026
SP - 1
EP - 5
BT - Proceedings - 2026 IEEE/ACM 3rd IDE Workshop, IDE 2026
PB - Association for Computing Machinery, Inc
Y2 - 12 April 2026 through 18 April 2026
ER -