AI‑powered coding assistants are rapidly becoming fixtures in professional IDEs, yet their sustained influence on everyday development remains poorly understood. Prior research has focused on short-term use or self-reported perceptions, leaving open questions about how sustained AI use reshapes daily coding practices in the long term.
We address this gap with a mixed-method study of AI adoption in IDEs, combining longitudinal two-year fine-grained telemetry from 800 developers with a survey of 62 professionals. We analyze five dimensions of workflow change: productivity, code quality, code editing, code reuse, and context switching. Telemetry reveals that AI users produce substantially more code but also delete significantly more. Meanwhile, survey respondents report productivity gains and perceive minimal changes in other dimensions.
Our results offer empirical insights into the silent restructuring of software workflows and provide implications for designing future AI-augmented tooling.
Wed 15 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
16:00 - 17:30 | Human and Social Aspects 5Research Track at Oceania IV Chair(s): Carolyn Seaman University of Maryland Baltimore County | ||
16:00 15mTalk | "Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool UseDistinguished Paper Award Research Track Courtney Miller Carnegie Mellon University, Rudrajit Choudhuri Oregon State University, Mara Ulloa Northwestern University, Sankeerti Haniyur Microsoft Corporation, Robert DeLine Microsoft Research, Margaret-Anne Storey University of Victoria, Emerson Murphy-Hill Microsoft, Christian Bird Microsoft Research, Jenna L. Butler Microsoft Research Pre-print | ||
16:15 15mTalk | "Game Changer" or "Overenthusiastic Drunk Acquaintance"? Generative AI Use by Blind and Low Vision Software Professionals in the Workplace Research Track Yoonha Cha University of California, Irvine, Victoria Jackson University of Southampton, Lauren Shu University of California, Irvine, Stacy Branham University of California, Irvine, Andre van der Hoek University of California, Irvine Pre-print | ||
16:30 15mTalk | Cognitive Biases in LLM-Assisted Software Development Research Track Xinyi Zhou University of Southern California, Zeinabsadat Saghi University of Southern California, Sadra Sabouri University of Southern California, Rahul Pandita GitHub, Inc., Mollie McGuire Naval Postgraduate Schoo, Souti Chattopadhyay University of Southern California | ||
16:45 15mTalk | Are Humans and LLMs Confused by the Same Code? An Empirical Study on Fixation-Related Potentials and LLM Perplexity Research Track Youssef Abdelsalam Saarland University, Norman Peitek Saarland University, Anna-Maria Maurer Saarland University, Mariya Toneva Max Planck Institute for Software Systems, Sven Apel Saarland University Pre-print | ||
17:00 15mTalk | TaCoS: Generated Context Summaries for Task Resumption Research Track Alexander Lill University of Zurich, Valentin Hollenstein University of Zurich, Roy Rutishauser University of Zurich, André N. Meyer University of Zurich, Thomas Fritz University of Zurich | ||
17:15 15mTalk | Evolving with AI: A Longitudinal Analysis of Developer Logs Research Track Agnia Sergeyuk JetBrains Research, Eric Huang University of California, Irvine, Dariia Karaeva JetBrains, Anastasiia Serova JetBrains, Yaroslav Golubev JetBrains Research, Iftekhar Ahmed University of California at Irvine | ||