4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.SE2025
Beyond the Prompt: An Empirical Study of Cursor Rules
Shaokang Jiang, Daye Nam
While Large Language Models (LLMs) have demonstrated remarkable capabilities, research shows that their effectiveness depends not only on explicit prompts but also on the broader c…
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…