RRepoGEO

REPOGEO REPORT · LITE

unit-mesh/build-your-ai-coding-assistant

Default branch master · commit 60abde02 · scanned 6/6/2026, 2:17:10 PM

GitHub: 717 stars · 63 forks

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 unit-mesh/build-your-ai-coding-assistant, 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 "guide for building"

    Why:

    CURRENT
    # AI 研发提效：构建 AI 辅助编码助手
    COPY-PASTE FIX
    # AI 研发提效：构建 AI 辅助编码助手

本教程介绍如何 DIY 一个端到端（从 IDE 插件、模型选型、数据集构建到模型微调）的 AI 辅助编程工具，类似于 GitHub Copilot、JetBrains AI Assistant、AutoDev 等。
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root, or explicitly state the intended license(s) in the README.
  • mediumtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai-assistants, genai
    COPY-PASTE FIX
    ai-assistants, genai, ide-plugin, code-generation, llm-finetuning, dataset-building, github-copilot-alternative, jetbrains-ai-assistant, autodev, coding-assistant-tutorial

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 unit-mesh/build-your-ai-coding-assistant
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. Accelerate · recommended 1×
  3. PyTorch Lightning · recommended 1×
  4. TensorFlow · recommended 1×
  5. Keras · recommended 1×
  • CATEGORY QUERY
    How to develop an AI-powered coding assistant with custom features and model fine-tuning?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Accelerate
    3. PyTorch Lightning
    4. TensorFlow
    5. Keras
    6. OpenAI API
    7. LangChain
    8. DeepSpeed
    9. Megatron-LM

    AI recommended 9 alternatives but never named unit-mesh/build-your-ai-coding-assistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Guide for creating an end-to-end AI development tool, including IDE integration and dataset building?
    you: not recommended
    AI recommended (in order):
    1. Visual Studio Code
    2. JupyterLab
    3. PyCharm Professional
    4. DVC
    5. Label Studio
    6. FiftyOne
    7. Apache Arrow
    8. Parquet
    9. Docker
    10. Kubernetes
    11. Git

    AI recommended 11 alternatives but never named unit-mesh/build-your-ai-coding-assistant. 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 unit-mesh/build-your-ai-coding-assistant?
    pass
    AI did not name unit-mesh/build-your-ai-coding-assistant — 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 unit-mesh/build-your-ai-coding-assistant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named unit-mesh/build-your-ai-coding-assistant 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 unit-mesh/build-your-ai-coding-assistant solve, and who is the primary audience?
    pass
    AI did not name unit-mesh/build-your-ai-coding-assistant — 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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