RRepoGEO

REPOGEO REPORT · LITE

1EchA/how-to-vibecoding

Default branch main · commit 8f622bfe · scanned 6/2/2026, 4:28:17 PM

GitHub: 752 stars · 62 forks

AI VISIBILITY SCORE
28 /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
2 / 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 1EchA/how-to-vibecoding, 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 the README H1 to explicitly state its focus on AI coding agents

    Why:

    CURRENT
    # VibeCoding 教程 (How to VibeCoding)
    COPY-PASTE FIX
    # VibeCoding 教程：AI 编程智能体与多智能体协作 (How to VibeCoding: AI Coding Agents & Multi-Agent Collaboration)
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://vibelearning.top
  • lowtopics#3
    Expand repository topics to include 'multi-agent' and 'agent-systems'

    Why:

    CURRENT
    ai, aicoding, coding-agent, mcp, tutorial, vibecoding
    COPY-PASTE FIX
    ai, aicoding, coding-agent, mcp, tutorial, vibecoding, multi-agent, agent-systems

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 1EchA/how-to-vibecoding
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/vscode
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/vscode · recommended 1×
  2. docker/docker-ce · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. git/git · recommended 1×
  • CATEGORY QUERY
    How can I set up an environment and integrate tools for an AI coding agent?
    you: not recommended
    AI recommended (in order):
    1. VS Code (microsoft/vscode)
    2. Docker (docker/docker-ce)
    3. LangChain (langchain-ai/langchain)
    4. AutoGen (microsoft/autogen)
    5. Git (git/git)
    6. GitHub
    7. GitLab (gitlabhq/gitlabhq)
    8. Bitbucket
    9. OpenAI API
    10. GPT-4
    11. GPT-3.5 Turbo
    12. Anthropic Claude
    13. Claude 3 Opus
    14. Claude 3 Sonnet
    15. Google Gemini
    16. Gemini 1.5 Pro
    17. Llama 3 (meta-llama/llama3)
    18. Hugging Face
    19. Pylint (pylint-dev/pylint)
    20. Flake8 (pycqa/flake8)
    21. ESLint (eslint/eslint)
    22. SonarQube (SonarSource/sonarqube)
    23. SonarCloud
    24. Pytest (pytest-dev/pytest)
    25. Jest (jestjs/jest)
    26. JUnit (junit-team/junit5)
    27. GitHub Copilot
    28. Cursor

    AI recommended 28 alternatives but never named 1EchA/how-to-vibecoding. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tutorials on managing multi-agent systems for complex coding tasks and long-term projects.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex

    AI recommended 5 alternatives but never named 1EchA/how-to-vibecoding. 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 1EchA/how-to-vibecoding?
    pass
    AI named 1EchA/how-to-vibecoding explicitly

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

  • If a team adopts 1EchA/how-to-vibecoding in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 1EchA/how-to-vibecoding 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 1EchA/how-to-vibecoding solve, and who is the primary audience?
    pass
    AI did not name 1EchA/how-to-vibecoding — 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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1EchA/how-to-vibecoding — 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