SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

作者： John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press (2024)

arXiv： 2405.15793

领域

应用

TLDR（中文）

提出 ACI（Agent-Computer Interface）概念，强调"agent 用什么工具/界面 ≥ 用什么模型"。把 GPT-4 + 良好 ACI 在 SWE-bench 提升 6 倍，奠定 coding agent 工程方法论。

TLDR (English)

Proposes ACI (Agent-Computer Interface) concept, emphasizing "what tools/interface agent uses ≥ what model used". GPT-4 + good ACI improves SWE-bench 6x, establishing coding agent engineering methodology.

出现在这些文章里

• Agent 与工具使用：模型不只是聊天
• 代码生成：模型如何写程序
• Agents and Tool Use: Models Are More Than Chat
• Code Generation: How Models Write Programs

同被引用

这些论文与本文出现在同一篇文章中

• Model Context Protocol (MCP) Anthropic (2024)
• Evaluating Large Language Models Trained on Code Mark Chen et al. (2021)
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI (2025)
• SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Carlos E. Jimenez et al. (2024)

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