3 papers
cs.SE2026
Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
Manisha Mukherjee, Vincent J. Hellendoorn
Large Language Models (LLMs) are increasingly deployed for code generation in high-stakes software development, yet their limited transparency in security reasoning and brittleness…
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
An Exploratory Study of ML Sketches and Visual Code Assistants
LuÃs F. Gomes, Vincent J. Hellendoorn, Jonathan Aldrich +1
This paper explores the integration of Visual Code Assistants in Integrated Development Environments (IDEs). In Software Engineering, whiteboard sketching is often the initial step…