REPOGEO REPORT · LITE

xNul/code-llama-for-vscode

Default branch main · commit 48e344c5 · scanned 6/10/2026, 12:12:46 PM

GitHub: 571 stars · 33 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 xNul/code-llama-for-vscode, 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 highlight unique value proposition

Why:

CURRENT

# Code Llama for VSCode

An API which mocks Llama.cpp to enable support for Code Llama with the Continue Visual Studio Code extension.

COPY-PASTE FIX

# Code Llama for VSCode: Local AI Coding Assistant with Continue

This project provides the missing link to use **Code Llama locally with the Continue Visual Studio Code extension**, offering a powerful, **self-hosted AI coding assistant** without cloud dependencies or API keys. It's a cross-platform solution, particularly valuable for Windows and Linux users where alternatives like Ollama may not be fully supported, enabling a true local LLM alternative to GitHub Copilot.

highhomepage#2
Add repository URL as homepage
Why:
COPY-PASTE FIX
```
https://github.com/xNul/code-llama-for-vscode
```

mediumtopics#3

Expand topics to include 'self-hosted' and 'code-completion'

Why:

CURRENT

assistant, code, code-llama, codellama, continue, continuedev, copilot, llama, llama2, llamacpp, llm, local, meta, ollama, studio, visual, vscode

COPY-PASTE FIX

assistant, code, code-llama, codellama, continue, continuedev, copilot, llama, llama2, llamacpp, llm, local, meta, ollama, studio, visual, vscode, self-hosted, code-completion, vs-code-extension, local-llm-integration

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 xNul/code-llama-for-vscode

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Code Llama

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Code Llama · recommended 1×
ollama/ollama · recommended 1×
LM Studio · recommended 1×
continue-team/continue · recommended 1×
carlrobertoh/CodeGPT · recommended 1×

CATEGORY QUERY
How can I get a local AI coding assistant for VS Code without cloud dependency?
you: not recommended
AI recommended (in order):
1. Code Llama
2. Ollama (ollama/ollama)
3. LM Studio
4. Continue (continue-team/continue)
5. CodeGPT (carlrobertoh/CodeGPT)
6. Tabnine
7. FauxPilot (fauxpilot/fauxpilot)
AI recommended 7 alternatives but never named xNul/code-llama-for-vscode. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a self-hosted code completion tool in VS Code that uses Llama models.
you: not recommended
AI recommended (in order):
1. Tabby
2. Continue
3. CodeGPT
4. Ollama
5. LocalAI
AI recommended 5 alternatives but never named xNul/code-llama-for-vscode. 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 xNul/code-llama-for-vscode?
pass
AI did not name xNul/code-llama-for-vscode — 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 xNul/code-llama-for-vscode in production, what risks or prerequisites should they evaluate first?
pass
AI named xNul/code-llama-for-vscode 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 xNul/code-llama-for-vscode solve, and who is the primary audience?
pass
AI did not name xNul/code-llama-for-vscode — 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?

Embed your GEO score

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MARKDOWN (README)

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HTML

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xNul/code-llama-for-vscode — 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