Forecasting Developer Environments with GenAI: A Research Perspective
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 to the researchers: to what extent the IDE will evolve to solve current problems, how the IDE can lead the charge for a new paradigm, how the human role will change, and radical ideas of how the IDE will look in the future.
Sat 18 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
09:00 - 10:30 | |||
09:00 15mDay opening | Welcome & Introductions IDE | ||
09:15 45mKeynote | Does JetBrains Dream of HAX? Human-AI Experience in the IDE, Today and Tomorrow IDE Agnia Sergeyuk JetBrains Research | ||
10:00 15mTalk | Forecasting Developer Environments with GenAI: A Research Perspective IDE Raula Gaikovina Kula The University of Osaka, Christoph Treude Singapore Management University, Xing Hu Zhejiang University, Sebastian Baltes Heidelberg University, Earl T. Barr University College London, Kelly Blincoe University of Auckland, Fabio Calefato University of Bari, Junjie Chen Tianjin University, Marc Cheong the University of Melbourne, Youmei Fan Nara Institute of Science and Technology, Daniel M. German University of Victoria, Marco Gerosa Northern Arizona University, Jin L.C. Guo McGill University, Shinpei Hayashi Institute of Science Tokyo, Robert Hirschfeld Hasso Plattner Institute; University of Potsdam, Reid Holmes University of British Columbia, Yintong Huo Singapore Management University, Singapore, Takashi Kobayashi Institute of Science Tokyo, Michele Lanza Software Institute - USI, Lugano, Zhongxin Liu Zhejiang University, Olivier Nourry The University of Osaka, Nicole Novielli University of Bari, Denys Poshyvanyk William & Mary, Shinobu Saito NTT, Inc., Kazumasa Shimari Nara Institute of Science and Technology, Igor Steinmacher RESHAPE LAB, Northern Arizona University, USA, Mairieli Wessel Radboud University, Markus Wagner Monash University, Australia, Annie Vella University of Auckland, Laurie Williams North Carolina State University, Xin Xia Zhejiang University Pre-print | ||
10:15 15mTalk | Optimizing an IDE for an Evolving Language Ecosystem IDE Adam Welc Mysten Labs, Todd Nowacki Mysten Labs, Dario Russi Mysten Labs, Cameron Swords Mysten Labs, Tim Zakian Mysten Labs | ||