4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.SE2026
Achieving Productivity Gains with AI-based IDE features: A Journey at Google
Maxim Tabachnyk, Xu Shu, Alexander Frömmgen +7
We discuss Google's journey in developing and refining two internal AI-based IDE features: code completion and natural-language-driven code transformation (Transform Code). We addr…
cs.SE2025
Understanding and supporting how developers prompt for LLM-powered code editing in practice
Daye Nam, Ahmed Omran, Ambar Murillo +6
Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent. While research has focused on…
cs.SE2024★ 4 cited
How much does AI impact development speed? An enterprise-based randomized controlled trial
Elise Paradis, Kate Grey, Quinn Madison +6
How much does AI assistance impact developer productivity? To date, the software engineering literature has provided a range of answers, targeting a diversity of outcomes: from per…