335 citations · 535 across the 88 of their papers we have counts for
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Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Traces
Shuyan Huang, Kai Du, Andrew Lan
As human developers increasingly collaborate with large language model (LLM)-powered coding agents, adapting to individual developer preferences, potentially via agent skills, may…
Empowering Student Debugging in Parallel Programming with Execution Traces and Large Language Models
God'salvation F. Oguibe, Vinodh Kumaran Jayakumar, Tongping Liu +2
Concurrent programming is a core component of Computer Science curricula, yet remains notoriously difficult for students to master due to its inherent complexity and the nondetermi…
Learning Code-Edit Embedding to Model Student Debugging Behavior
Hasnain Heickal, Andrew Lan
Providing effective feedback for programming assignments in computer science education can be challenging: students solve problems by iteratively submitting code, executing it, and…