16 papers
Regression Accumulation in Multi-Turn LLM Programming Conversations
Yonghui, Huang, Lin Ma +4
In LLM-assisted software development, coding is often iterative. We study regression accumulation in multi-turn LLM programming conversations, where later code suggestions may brea…
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
Yue Wu, Minghao Han, Ruiyin Li +5
Code often suffers from performance bugs. These bugs necessitate the research and practice of code optimization. Traditional rule-based methods rely on manually designing and maint…
From Prompting to Verification: How Experience Shapes Vibe Coding Practices
Ahmed Fawzy, Amjed Tahir, Kelly Blincoe
AI code generation tools have expanded software creation beyond professional developers, giving rise to vibe coding, a practice in which users generate software via natural-languag…
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
Jiaxin Yu, Peng Liang, Yujia Fu +4
Security code review is a time-consuming and labor-intensive process typically requiring integration with automated security defect detection tools. However, existing security anal…
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies
Ali Soltanian Fard Jahromi, Amjed Tahir, Peng Liang +1
The security of AI-generated code remains a major obstacle to its widespread adoption. Although code generation models achieve strong performance on functional benchmarks, their ou…
Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects
Syed Mohammad Kashif, Ruiyin Li, Peng Liang +4
New generation of AI coding tools, including AI-powered IDEs equipped with agentic capabilities, can generate code within the context of the project. These AI IDEs are increasingly…