3 papers
cs.SE2026
Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
Giovanni Pinna, Jingzhi Gong, David Williams +1
The rapid adoption of AI-powered coding assistants is transforming software development practices, yet systematic comparisons of their effectiveness across different task types and…
cs.SE2026
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
Jingzhi Gong, Giovanni Pinna, Yixin Bian +1
Pull request (PR) descriptions generated by AI coding agents are the primary channel for communicating code changes to human reviewers. However, the alignment between these message…
cs.SE2025
GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization
Jingzhi Gong, Yixin Bian, Luis de la Cal +8
Coding agents powered by LLMs face critical sustainability and scalability challenges in industrial deployment, with single runs consuming over 100k tokens and incurring environmen…