On the Adoption of AI Coding Agents in Open-source Android and iOS Development
AI 摘要
分析了AI编码智能体在开源Android和iOS移动应用开发中的应用和影响。
主要贡献
- 首次对开源移动应用项目中AI生成代码进行类别级实证研究
- 分析了不同移动平台、智能体和任务类别中的PR接受行为
- 提供了AI智能体对OSS移动项目影响的经验证据
方法论
分析了AIDev数据集中193个验证过的Android和iOS开源GitHub仓库中的2901个AI编写的PR。
原文摘要
AI coding agents are increasingly contributing to software development, yet their impact on mobile development has received little empirical attention. In this paper, we present the first category-level empirical study of agent-generated code in open-source mobile app projects. We analyzed PR acceptance behaviors across mobile platforms, agents, and task categories using 2,901 AI-authored pull requests (PRs) in 193 verified Android and iOS open-source GitHub repositories in the AIDev dataset. We find that Android projects have received 2x more AI-authored PRs and have achieved higher PR acceptance rate (71%) than iOS (63%), with significant agent-level variation on Android. Across task categories, PRs with routine tasks (feature, fix, and ui) achieve the highest acceptance, while structural changes like refactor and build achieve lower success and longer resolution times. Furthermore, our evolution analysis shows improvement in PR resolution time on Android through mid-2025 before it declined again. Our findings offer the first evidence-based characterization of AI agents effects on OSS mobile projects and establish empirical baselines for evaluating agent-generated contributions to design platform aware agentic systems.