RRepoGEO

REPOGEO REPORT · LITE

ShouZhengAI/CS146S_CN

Default branch main · commit f54cc482 · scanned 6/28/2026, 7:40:36 AM

GitHub: 1,377 stars · 153 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to emphasize its role as a practical course

    Why:

    CURRENT
    近几年来，大型语言模型（LLM）为软件开发带来了革命性的新范式。传统的软件开发生命周期正在被人工智能的自动化能力渗透和重塑，这引发了一个关键问题：下一代软件工程师应如何利用这些进步，将工作效率提升十倍（10x），并为未来的职业生涯做好准备？
    COPY-PASTE FIX
    本课程提供动手实践的CS146S中文版教程，专注于利用大型语言模型（LLM）提升软件开发效率，并教授AI辅助编程、自动化测试和智能文档生成等现代技能。它将证明现代AI工具不仅能大幅提高开发人员的生产力，还能让更广泛的受众更容易接触和从事软件工程工作。
  • mediumabout#2
    Refine the repository description to highlight AI integration and practical application

    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
    动手学CS146S中文版课程，专注于AI辅助开发与LLM集成，包含assignments，vibe coding工具等，致力于打造中文最好的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
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. ChatGPT · recommended 1×
  3. GPT-4 API · recommended 1×
  4. Tabnine · recommended 1×
  5. Cursor · recommended 1×
  • CATEGORY QUERY
    How can I learn to integrate AI tools for 10x software development productivity?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. GPT-4 API
    4. Tabnine
    5. Cursor
    6. CodiumAI
    7. DeepCode AI
    8. Snyk Code
    9. Replit AI

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for hands-on guides to incorporate large language models into my coding workflow.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. Google AI Studio / Gemini API
    6. Full Stack LLM Bootcamp by Andrej Karpathy
    7. DeepLearning.AI Short Courses

    AI recommended 7 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