RRepoGEO

REPOGEO REPORT · LITE

LiuMengxuan04/MiniCode

Default branch main · commit 57cd741d · scanned 6/1/2026, 6:07:35 AM

GitHub: 739 stars · 85 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 LiuMengxuan04/MiniCode, 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's opening to emphasize AI agent, terminal focus, and learning purpose

    Why:

    CURRENT
    A lightweight, highly efficient coding tool. Designed for speed, built for simplicity. MiniCode is a lightweight terminal coding assistant for local development workflows.
    COPY-PASTE FIX
    MiniCode is a lightweight terminal AI coding assistant, bringing a Claude Code-like workflow directly to your local development environment. Built specifically for learning, experimentation, and custom tooling, it offers a compact, TUI-based agent loop for multi-language code generation and modification.
  • hightopics#2
    Add more specific AI and code generation topics

    Why:

    CURRENT
    ai-agent, cli, coding-agent, developer-tools, nodejs, terminal, tool-calling, tui, typescript
    COPY-PASTE FIX
    ai-agent, cli, coding-agent, code-generation, developer-tools, generative-ai, llm, nodejs, terminal, tool-calling, tui, typescript
  • mediumcomparison#3
    Add a 'Why MiniCode?' section comparing it to similar AI assistants

    Why:

    COPY-PASTE FIX
    ## Why MiniCode?
While tools like Cursor, Continue, or aider offer powerful AI coding assistance, MiniCode focuses on a lightweight, transparent, and easily extensible TUI-based agent loop for local development. It's designed for those who want to learn, experiment with, or customize their own AI coding workflows, rather than a full-featured IDE replacement.

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 LiuMengxuan04/MiniCode
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. continue-team/continue · recommended 1×
  3. ashishb/shell-genie · recommended 1×
  4. smol-ai/smol-developer · recommended 1×
  5. paul-gauthier/aider · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight AI coding assistant that operates directly within my terminal.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-team/continue)
    3. Shell Genie (ashishb/shell-genie)
    4. smol-ai/smol-developer (smol-ai/smol-developer)
    5. aider (paul-gauthier/aider)
    6. CodeGPT
    7. ollama (ollama/ollama)
    8. fzf (junegunn/fzf)

    AI recommended 8 alternatives but never named LiuMengxuan04/MiniCode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some simple TUI-based AI agents for code generation and experimentation in TypeScript?
    you: not recommended
    AI recommended (in order):
    1. Inquirer.js
    2. blessed
    3. react-blessed
    4. Ollama
    5. LangChain.js
    6. OpenAI
    7. Commander.js

    AI recommended 7 alternatives but never named LiuMengxuan04/MiniCode. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 LiuMengxuan04/MiniCode?
    pass
    AI named LiuMengxuan04/MiniCode explicitly

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

  • If a team adopts LiuMengxuan04/MiniCode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LiuMengxuan04/MiniCode 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 LiuMengxuan04/MiniCode solve, and who is the primary audience?
    pass
    AI named LiuMengxuan04/MiniCode explicitly

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

Embed your GEO score

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LiuMengxuan04/MiniCode — 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