REPOGEO REPORT · LITE

codeaholicguy/ai-devkit

Default branch main · commit 116c3bb4 · scanned 6/26/2026, 8:07:12 AM

GitHub: 1,445 stars · 222 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)

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

AI VISIBILITY SCORE

28 /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

2 / 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 codeaholicguy/ai-devkit, 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 statement to clarify its unique role

Why:

CURRENT

**The control plane for AI coding agents.**

COPY-PASTE FIX

**The control plane for AI coding agents.** AI DevKit is a local-first operating layer to manage and orchestrate *multiple existing* coding agents like Claude Code, Cursor, or GitHub Copilot, rather than an LLM framework or individual agent builder.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Add a `LICENSE` file to the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals and community expectations.

mediumtopics#3

Refine repository topics for better categorization

Why:

CURRENT

agent-framework, agent-skills, ai, ai-agents, ai-coding, antigravity, claude-code, cli, codex-cli, coding-agents, cursor-ai, developer-tools, gemini-cli, mcp, memory, opencode, pi, software-engineering, workflow-automation

COPY-PASTE FIX

ai-agents, ai-coding, agent-orchestration, multi-agent, agent-management, control-plane, developer-tools, workflow-automation, cli, local-first, memory-management

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 codeaholicguy/ai-devkit

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
Hydra · recommended 1×
Pydantic Settings · recommended 1×
OpenAI Assistants API · recommended 1×

CATEGORY QUERY
How to centralize configuration and orchestrate multiple AI coding assistants for development tasks?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Hydra
4. Pydantic Settings
5. OpenAI Assistants API
6. Microsoft Semantic Kernel
7. Haystack
8. Autogen
AI recommended 8 alternatives but never named codeaholicguy/ai-devkit. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a tool to improve AI coding agent collaboration, shared memory, and workflow automation.
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. AutoGPT (Significant-Gravitas/AutoGPT)
3. CrewAI (joaomdmoura/crewAI)
4. Haystack (deepset-ai/haystack)
5. LlamaIndex (run-llama/llama_index)
6. GitHub Copilot
7. GitHub Actions
8. VS Code Dev Containers
AI recommended 8 alternatives but never named codeaholicguy/ai-devkit. 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 codeaholicguy/ai-devkit?
pass
AI did not name codeaholicguy/ai-devkit — 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 codeaholicguy/ai-devkit in production, what risks or prerequisites should they evaluate first?
pass
AI named codeaholicguy/ai-devkit 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 codeaholicguy/ai-devkit solve, and who is the primary audience?
pass
AI named codeaholicguy/ai-devkit explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/codeaholicguy/ai-devkit"><img src="https://repogeo.com/badge/codeaholicguy/ai-devkit.svg" alt="RepoGEO" /></a>

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codeaholicguy/ai-devkit — 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