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International Workshop Peer-reviewed

Forecasting Developer Environments with GenAI: A Research Perspective

Raula Gaikovina Kula, Christoph Treude, Xing Hu, Sebastian Baltes, Earl T. Barr, Kelly Blincoe, Fabio Calefato, Junjie Chen, Marc Cheong, Youmei Fan, Daniel M. German, Marco Gerosa, Jin L.C. Guo, Shinpei Hayashi, Robert Hirschfeld, Reid Holmes, Yintong Huo, Takashi Kobayashi, Michele Lanza, Zhongxin Liu, Olivier Nourry, Nicole Novielli, Denys Poshyvanyk, Shinobu Saito, Kazumasa Shimari, Igor Steinmacher, Mairieli Wessel, Markus Wagner, Annie Vella, Laurie Williams, Xin Xia

In Proceedings of the 3rd IEEE/ACM IDE Workshop (IDE 2026), pp. 1–5, Rio de Janeiro, Brazil, April 2026.

Abstract

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.

BibTeX

@inproceedings{raula-ide2026,
    author = {Raula Gaikovina Kula and Christoph Treude and Xing Hu and Sebastian Baltes and Earl T. Barr and Kelly Blincoe and Fabio Calefato and Junjie Chen and Marc Cheong and Youmei Fan and Daniel M. German and Marco Gerosa and Jin L.C. Guo and Shinpei Hayashi and Robert Hirschfeld and Reid Holmes and Yintong Huo and Takashi Kobayashi and Michele Lanza and Zhongxin Liu and Olivier Nourry and Nicole Novielli and Denys Poshyvanyk and Shinobu Saito and Kazumasa Shimari and Igor Steinmacher and Mairieli Wessel and Markus Wagner and Annie Vella and Laurie Williams and Xin Xia},
    title = {Forecasting Developer Environments with {GenAI}: A Research Perspective},
    booktitle = {Proceedings of the 3rd IEEE/ACM IDE Workshop},
    pages = {1--5},
    doi = {10.1145/3786151.3788604},
    year = 2026,
}
Type
International Workshop
Conference
IDE 2026
Location
Rio de Janeiro, Brazil
Presented
April 18, 2026
Volume / Pages
pp. 1–5
DOI
10.1145/3786151.3788604