RRepoGEO

REPOGEO REPORT · LITE

ShouZhengAI/CS146S_CN

Default branch main · commit 096f4620 · scanned 5/17/2026, 6:02:50 AM

GitHub: 1,183 stars · 145 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 ShouZhengAI/CS146S_CN, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-software-engineering, llm-development, generative-ai, software-development-course, ai-productivity, cs146s, chinese-course, automated-software-engineering
  • highreadme#2
    Reposition the README's introductory paragraph to emphasize its identity as a course

    Why:

    CURRENT
    本项目长期维护，希望能帮到各位入门 vibe coding 的朋友，欢迎Star，分享与提PR🌟~ 正在积极维护高质量 Assignments 中，每周天发布哦~
    COPY-PASTE FIX
    本项目是斯坦福CS146S课程的中文版，专注于教授如何利用大型语言模型（LLM）进行高效的AI辅助软件开发。我们致力于打造最优质的中文AI软件工程实践课程，包含丰富的作业和实战工具，欢迎Star，分享与提PR🌟~
  • mediumabout#3
    Refine the repository description for clarity on AI-driven software engineering

    Why:

    CURRENT
    动手学CS146S中文版课程，包含assignments，vibe coding工具等，本项目将长期持续维护，致力于打造中文最好的vibe coding教程。
    COPY-PASTE FIX
    斯坦福CS146S中文版课程，专注于AI辅助软件开发与大型语言模型（LLM）应用。包含高质量作业、实战工具，致力于打造中文最佳AI驱动软件工程教程。

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 ShouZhengAI/CS146S_CN
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. Claude · recommended 1×
  4. Google Gemini · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    How can I learn modern AI-driven software development practices to improve productivity?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. Claude
    4. Google Gemini
    5. Tabnine
    6. Cursor
    7. Replit AI
    8. DeepMind AlphaCode 2
    9. Hugging Face Transformers library (huggingface/transformers)

    AI recommended 9 alternatives but never named ShouZhengAI/CS146S_CN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a practical course on using large language models for automated software engineering tasks.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Generative AI for Developers" Specialization
    2. ChatGPT API
    3. LangChain (langchain-ai/langchain)
    4. Udemy's "ChatGPT for Developers: Build 10 AI Apps"
    5. ChatGPT
    6. Pluralsight's "Building AI-Powered Applications with OpenAI GPT-3"
    7. OpenAI GPT-3
    8. OpenAI
    9. Coursera's "Applied Generative AI" by Google Cloud
    10. Google Cloud
    11. edX's "Generative AI with Large Language Models" by AWS
    12. AWS

    AI recommended 12 alternatives but never named ShouZhengAI/CS146S_CN. 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 ShouZhengAI/CS146S_CN?
    pass
    AI did not name ShouZhengAI/CS146S_CN — 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 ShouZhengAI/CS146S_CN in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ShouZhengAI/CS146S_CN 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 ShouZhengAI/CS146S_CN solve, and who is the primary audience?
    pass
    AI did not name ShouZhengAI/CS146S_CN — 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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ShouZhengAI/CS146S_CN — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite