REPOGEO REPORT · LITE

codestoryai/sidecar

Default branch main · commit 26fde9e6 · scanned 6/7/2026, 5:41:58 AM

GitHub: 604 stars · 101 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 codestoryai/sidecar, 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 the README's opening to clarify its role as an IDE AI companion

Why:

CURRENT

Sidecar is the AI brains of Aide the editor. To accomplish the work of creating the prompts, talking to LLM and everything else in between Sidecar is responsible for making sure it all works together.

COPY-PASTE FIX

Sidecar is an AI companion and code intelligence engine designed to integrate locally with your IDE, specifically serving as the 'brains' for the Aide editor. It provides real-time code generation, analysis, and assistance directly within your development environment.

mediumtopics#2

Add more specific topics to improve categorization

Why:

CURRENT

ai, artificial-intelligence, codegen, copilot, copilot-chat, llm, rust, typescript

COPY-PASTE FIX

ai, artificial-intelligence, codegen, copilot, copilot-chat, llm, rust, typescript, ide-companion, code-intelligence, developer-tools, ai-assistant, local-ai

lowcomparison#3

Add a 'How Sidecar Compares' section to the README

Why:

COPY-PASTE FIX

## How Sidecar Compares

Unlike general LLM inference engines (e.g., Ollama, LM Studio) or foundational models (e.g., Code Llama), Sidecar is purpose-built as an AI companion for IDEs. It focuses on deep, real-time integration with your local codebase and development environment, providing context-aware code intelligence and assistance directly within the Aide editor, rather than just running models or serving as a generic API.

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 codestoryai/sidecar

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Code Llama

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Code Llama · recommended 2×
LM Studio · recommended 2×
Continue-team/continue · recommended 2×
Ollama · recommended 1×
Continue · recommended 1×

CATEGORY QUERY
How to integrate an AI coding assistant locally into my development environment for code generation?
you: not recommended
AI recommended (in order):
1. Code Llama
2. Ollama
3. LM Studio
4. Continue
5. Tabnine
6. FauxPilot
7. CodeGPT
AI recommended 7 alternatives but never named codestoryai/sidecar. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a self-hosted AI companion for IDEs, built with Rust or TypeScript for code intelligence.
you: not recommended
AI recommended (in order):
1. Tabby (TabbyML/tabby)
2. Continue (Continue-team/continue)
3. Code Llama
4. Phind-CodeLlama
5. Ollama (ollama/ollama)
6. LM Studio
7. VS Code's "Continue" extension (Continue-team/continue)
8. VS Code's "CodeGPT" extension (CodeGPTApp/CodeGPT)
9. JetBrains' "AI Assistant"
10. LocalAI (go-skynet/LocalAI)
11. tree-sitter (tree-sitter/tree-sitter)
AI recommended 11 alternatives but never named codestoryai/sidecar. 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 codestoryai/sidecar?
pass
AI named codestoryai/sidecar explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts codestoryai/sidecar in production, what risks or prerequisites should they evaluate first?
pass
AI named codestoryai/sidecar 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 codestoryai/sidecar solve, and who is the primary audience?
pass
AI named codestoryai/sidecar 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 codestoryai/sidecar. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/codestoryai/sidecar.svg)](https://repogeo.com/en/r/codestoryai/sidecar)

HTML

<a href="https://repogeo.com/en/r/codestoryai/sidecar"><img src="https://repogeo.com/badge/codestoryai/sidecar.svg" alt="RepoGEO" /></a>

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codestoryai/sidecar — 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