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Vibe Coding 实践、性能、生产力与风险：最新综述
原标题：Vibe Coding: Practice, Performance, Productivity, and Risk -A State-of-the-Art Review
AI 摘要
这篇综述论文系统梳理了“Vibe Coding”（AI辅助软件开发）的实践、性能、生产力和风险。研究发现早期基准测试已饱和，但任务级能力不均衡，如代码生成可靠而故障检测薄弱。生产力证据看似矛盾，但通过统一测量方法可解释，并指出收益在新代码上真实，在成熟代码库上可能缩小或逆转。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Vibe Coding: Practice, Performance, Productivity, and Risk—A State-of-the-Art Review Abstract. Vibe coding — AI-assisted software development in which the developer describes intent in natural language and validates results by running rather than reading the generated code — was named by Andrej Karpathy in February 2025 and produced its first body of empirical evidence within seventeen months. This state-of-the-art review assembles that evidence across a cross-disciplinary corpus spanning softwa
发布时间：2026-08-24 12:00
抓取时间：2026-08-24 14:24
来源机构：arXiv