3 papers
cs.SE2026
Understanding Dominant Themes in Reviewing Agentic AI-authored Code
Md. Asif Haider, Thomas Zimmermann
While prior work has examined the generation capabilities of Agentic AI systems, little is known about how reviewers respond to AI-authored code in practice. In this paper, we pres…
cs.SE2025
Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding
Yi-Hung Chou, Boyuan Jiang, Yi Wen Chen +4
Large language models (LLMs) are reshaping software engineering by enabling "vibe coding," in which developers build software primarily through prompts rather than writing code. Al…
cs.SE2025
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
Mahan Tafreshipour, Aaron Imani, Eric Huang +3
The adoption of Large Language Models (LLMs) is reshaping software development as developers integrate these LLMs into their applications. In such applications, prompts serve as th…