FudanSELab/Agent4SE-Paper-List

• highreadme#1

  Reposition README opening to clarify it's a survey paper list

  原因：

  当前

  The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially extend the versatility and expertise of LLMs by enhancing LLMs with the capabilities of perceiving and utilizing external resources and tools. To date, LLM-based agents have been applied and shown remarkable effectiveness in Software Engineering (SE). The synergy between multiple agents and human interaction brings further promise in tackling complex real-world SE problems. In this work, we present a comprehensive and systematic survey on LLM-based agents for SE. We collect 106 papers and categorize them from two perspectives, i.e., the SE and agent perspectives. In addition, we discuss open challenges and future directions in this critical domain.

  复制粘贴的修复

  复制

  This repository provides a comprehensive and systematically updated list of papers for our survey, 'Large Language Model-Based Agents for Software Engineering: A Survey'. We collect and categorize 106 papers from both Software Engineering and agent perspectives, discussing open challenges and future directions in this rapidly evolving domain. Star this repository to keep up with the updates!

  待办完成忽略
• highlicense#2

  Add a LICENSE file to clarify usage rights

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with the text of the MIT License.

  待办完成忽略
• mediumtopics#3

  Add topics to specify the repo's nature as a survey/paper list

  原因：

  当前

  agent, artificial-intelligence, large-language-models, llm-based-agents, llms, software-engineering

  复制粘贴的修复

  复制

  agent, artificial-intelligence, large-language-models, llm-based-agents, llms, software-engineering, survey, paper-list, research-papers, academic-survey

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find a comprehensive overview of LLM agent applications in software development?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. LlamaIndex
  3. Awesome-LLM-Agents
  4. Hugging Face
  5. Papers With Code

  AI 推荐了 5 个替代方案，却始终没点名 FudanSELab/Agent4SE-Paper-List。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the current trends and different architectural patterns for AI agents in software engineering?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. LlamaIndex
  3. Microsoft AutoGen
  4. CrewAI
  5. BabyAGI
  6. OpenAI Assistants API
  7. RabbitMQ
  8. Kafka
  9. Haystack

  AI 推荐了 9 个替代方案，却始终没点名 FudanSELab/Agent4SE-Paper-List。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of FudanSELab/Agent4SE-Paper-List?

  pass
  ⚠AI 未点名 FudanSELab/Agent4SE-Paper-List —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts FudanSELab/Agent4SE-Paper-List in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 FudanSELab/Agent4SE-Paper-List

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo FudanSELab/Agent4SE-Paper-List solve, and who is the primary audience?

  pass
  ⚠AI 未点名 FudanSELab/Agent4SE-Paper-List —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？