metadata
title: Arcee AI Trinity Large Code Review
emoji: 🔍
colorFrom: purple
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
license: mit
Arcee AI Trinity Large Code Review
AI-powered code review that streams real-time analysis of any public GitHub file using Arcee AI's Trinity Large model via OpenRouter.
How It Works
- Paste a public GitHub file URL (e.g.,
https://github.com/owner/repo/blob/main/file.py) - Choose a review tone: Gentle (supportive mentor), Standard (Linus Torvalds-style), or Brutal (volcanic rage)
- Get a streaming code review across 6 categories
Review Categories
| Category | What It Covers |
|---|---|
| Summary | High-level overview of the file's purpose and structure |
| Code Quality | Issues tagged as [CRITICAL], [HIGH], [MEDIUM], or [LOW] severity |
| Performance | Algorithmic inefficiencies, memory leaks, unnecessary allocations |
| Security | Injection risks, authentication issues, data exposure |
| Suggestions | Concrete improvements with inline diff blocks |
| Verdicts | Opinions from Linus Torvalds, Donald Knuth, and Bjarne Stroustrup |
Tech Stack
- Backend: Node.js + Express with Server-Sent Events (SSE)
- Frontend: Vanilla HTML/JS with tabbed interface, syntax highlighting, and diff rendering
- Model:
arcee-ai/trinity-large-preview:freevia OpenRouter - Deployment: Docker on Hugging Face Spaces
Run Locally
git clone https://huggingface.co/spaces/juliensimon/trinity-code-reviewer
cd trinity-code-reviewer
echo "OPENROUTER_API_KEY=your_key_here" > .env
npm install
node server.js
Opens at http://localhost:3000.
License
MIT