RRepoGEO

REPOGEO REPORT · LITE

FudanSELab/Agent4SE-Paper-List

Default branch master · commit b8431f76 · scanned 6/9/2026, 7:48:02 AM

GitHub: 546 stars · 33 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface FudanSELab/Agent4SE-Paper-List, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify it's a survey paper list

    Why:

    CURRENT
    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.
    COPY-PASTE FIX
    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!
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of the MIT License.
  • mediumtopics#3
    Add topics to specify the repo's nature as a survey/paper list

    Why:

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

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface FudanSELab/Agent4SE-Paper-List
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Awesome-LLM-Agents · recommended 1×
  4. Hugging Face · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive overview of LLM agent applications in software development?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Awesome-LLM-Agents
    4. Hugging Face
    5. Papers With Code

    AI recommended 5 alternatives but never named FudanSELab/Agent4SE-Paper-List. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the current trends and different architectural patterns for AI agents in software engineering?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft AutoGen
    4. CrewAI
    5. BabyAGI
    6. OpenAI Assistants API
    7. RabbitMQ
    8. Kafka
    9. Haystack

    AI recommended 9 alternatives but never named FudanSELab/Agent4SE-Paper-List. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of FudanSELab/Agent4SE-Paper-List?
    pass
    AI did not name FudanSELab/Agent4SE-Paper-List — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo FudanSELab/Agent4SE-Paper-List solve, and who is the primary audience?
    pass
    AI did not name FudanSELab/Agent4SE-Paper-List — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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