RRepoGEO

REPOGEO REPORT · LITE

liuzhengdongfortest/CodeStable

Default branch main · commit baa2eb2e · scanned 6/30/2026, 3:22:59 AM

GitHub: 990 stars · 73 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 liuzhengdongfortest/CodeStable, 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 H1 for clarity and English context

    Why:

    CURRENT
    # CodeStable
    COPY-PASTE FIX
    # CodeStable: 面向严肃工程的 AI 编码工作流 (Human-in-the-Loop AI Harness for Serious Software Engineering)
  • highabout#2
    Add a concise project description to the 'About' section

    Why:

    COPY-PASTE FIX
    CodeStable is a human-in-the-loop AI harness and workflow for serious software engineering, focusing on integrating AI into the software development lifecycle rather than just orchestrating agents.
  • hightopics#3
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-coding, human-in-the-loop, software-development-lifecycle, ai-harness, engineering-workflow, generative-ai, code-generation

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 liuzhengdongfortest/CodeStable
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Tabnine · recommended 2×
  3. microsoft/vscode · recommended 1×
  4. JetBrains IDEs · recommended 1×
  5. IntelliJ IDEA · recommended 1×
  • CATEGORY QUERY
    Looking for an AI coding workflow that keeps humans in the loop for serious engineering.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. VS Code (microsoft/vscode)
    3. JetBrains IDEs
    4. IntelliJ IDEA
    5. PyCharm
    6. WebStorm
    7. GitHub
    8. Cursor
    9. GitLab
    10. Codeium
    11. Neovim (neovim/neovim)
    12. Tabnine
    13. Sublime Text
    14. AWS CodeWhisperer

    AI recommended 14 alternatives but never named liuzhengdongfortest/CodeStable. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate AI into software development lifecycle, not just orchestrating agents?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitLab Duo
    3. Amazon CodeWhisperer
    4. DeepMind AlphaCode 2
    5. CodiumAI
    6. Tabnine
    7. OpenAI GPT-4
    8. Google Gemini
    9. Dynatrace Davis
    10. Datadog Watchdog
    11. Jira
    12. Snyk Code
    13. Checkmarx SAST

    AI recommended 13 alternatives but never named liuzhengdongfortest/CodeStable. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 liuzhengdongfortest/CodeStable?
    pass
    AI named liuzhengdongfortest/CodeStable explicitly

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

  • If a team adopts liuzhengdongfortest/CodeStable in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liuzhengdongfortest/CodeStable 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 liuzhengdongfortest/CodeStable solve, and who is the primary audience?
    pass
    AI named liuzhengdongfortest/CodeStable explicitly

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

Embed your GEO score

Drop this badge into the README of liuzhengdongfortest/CodeStable. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/liuzhengdongfortest/CodeStable.svg)](https://repogeo.com/en/r/liuzhengdongfortest/CodeStable)
HTML
<a href="https://repogeo.com/en/r/liuzhengdongfortest/CodeStable"><img src="https://repogeo.com/badge/liuzhengdongfortest/CodeStable.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

liuzhengdongfortest/CodeStable — 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