RRepoGEO

REPOGEO REPORT · LITE

salesforce/CodeT5

Default branch main · commit e78a61a1 · scanned 5/26/2026, 4:07:14 AM

GitHub: 3,103 stars · 490 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 salesforce/CodeT5, 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 statement to emphasize open-source utility

    Why:

    CURRENT
    Official research release for **CodeT5** and **CodeT5+** models for **Code Understanding and Generation** from Salesforce Research, which are introduced by the following papers:
    COPY-PASTE FIX
    CodeT5 and CodeT5+ are open-source large language models from Salesforce Research, designed for **Code Understanding and Generation**. These models can be deployed as AI-powered coding assistants to boost developer productivity, offering capabilities like text-to-code generation, code autocompletion, and code summarization.
  • mediumreadme#2
    Add a 'Getting Started' or 'Quickstart' section to the README

    Why:

    COPY-PASTE FIX
    ## Getting Started
    
    To quickly integrate CodeT5+ models into your projects, you can leverage our checkpoints available on HuggingFace. Here's a basic example to get you started with inference:
    
    ```python
    # [Example code snippet for loading and using a CodeT5 model, e.g., with transformers library]
    ```
    
    For more detailed usage and fine-tuning instructions, please refer to the `code` directory and our documentation.
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives
    
    CodeT5's core differentiator lies in its **identifier-aware pre-training objective**. Unlike many general-purpose code LLMs, CodeT5 explicitly models the roles and relationships of identifiers (variable names, function names) within the code structure. This allows for a deeper understanding and more accurate generation of code, leading to improved performance in tasks such as code summarization, generation, and completion compared to models that treat code as plain text sequences.

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 salesforce/CodeT5
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 1×
  2. DeepSeek Coder · recommended 1×
  3. StarCoder2 · recommended 1×
  4. Phind-CodeLlama · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    What are the best open source language models for generating and completing code?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. StarCoder2
    4. Phind-CodeLlama
    5. WizardCoder
    6. CodeGeeX2

    AI recommended 6 alternatives but never named salesforce/CodeT5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate an AI assistant for code summarization and text-to-code functionality?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GitHub Copilot
    3. Google Cloud Vertex AI
    4. Hugging Face Transformers Library (huggingface/transformers)
    5. Amazon CodeWhisperer
    6. Tabnine

    AI recommended 6 alternatives but never named salesforce/CodeT5. 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 salesforce/CodeT5?
    pass
    AI named salesforce/CodeT5 explicitly

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

  • If a team adopts salesforce/CodeT5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named salesforce/CodeT5 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 salesforce/CodeT5 solve, and who is the primary audience?
    pass
    AI named salesforce/CodeT5 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 salesforce/CodeT5. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/salesforce/CodeT5"><img src="https://repogeo.com/badge/salesforce/CodeT5.svg" alt="RepoGEO" /></a>
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salesforce/CodeT5 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite