--- 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](https://huggingface.co/arcee-ai/trinity-large-preview) model via OpenRouter.

Trinity Large OpenRouter Server-Sent Events MIT License

## How It Works 1. Paste a public GitHub file URL (e.g., `https://github.com/owner/repo/blob/main/file.py`) 2. Choose a review tone: **Gentle** (supportive mentor), **Standard** (Linus Torvalds-style), or **Brutal** (volcanic rage) 3. 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:free` via [OpenRouter](https://openrouter.ai/) - **Deployment**: Docker on Hugging Face Spaces ## Run Locally ```bash 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](http://localhost:3000). ## License MIT