Prompting LLMs for Code Editing: Struggles and Remedies

no code implementations • 28 Apr 2025 • Daye Nam, Ahmed Omran, Ambar Murillo, Saksham Thakur, Abner Araujo, Marcel Blistein, Alexander Frömmgen, Vincent Hellendoorn, Satish Chandra

Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent.

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions

no code implementations • 25 Apr 2025 • Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour

This work could be extended to investigate more complex tasks and integrated into programming tools to provide real-time support.

Using an LLM to Help With Code Understanding

no code implementations • 17 Jul 2023 • Daye Nam, Andrew Macvean, Vincent Hellendoorn, Bogdan Vasilescu, Brad Myers

In this study, we provide a first investigation of an LLM-based conversational UI built directly in the IDE that is geared towards code understanding.

Code Generation Language Modelling +2