{"id":46209703,"url":"https://github.com/appwrite/arena","last_synced_at":"2026-03-08T14:00:47.812Z","repository":{"id":341609919,"uuid":"1170510841","full_name":"appwrite/arena","owner":"appwrite","description":"Benchmarking AI models on their knowledge of Appwrite SDKs and services. 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Compare model performance with and without skill file context across 70 questions spanning 7 Appwrite product categories.\n\nLive at **[arena.appwrite.network](https://arena.appwrite.network)**\n\n## How It Works\n\nThe benchmark tests leading AI models on their knowledge of Appwrite through two modes:\n\n- **With skills** — Models receive comprehensive Appwrite documentation as context\n- **Without skills** — Models answer based solely on their training data\n\nQuestions are split into **57 multiple-choice** (auto-scored) and **13 free-form** (AI-judged by Claude Sonnet 4.6) across these categories:\n\n| Category | Topics |\n|---|---|\n| Fundamental | Core Appwrite concepts and architecture |\n| Auth | Authentication, users, teams, OAuth |\n| Databases | Collections, documents, queries, permissions |\n| Functions | Serverless functions, runtimes, triggers |\n| Storage | File uploads, buckets, previews |\n| Sites | Web hosting and deployment |\n| Messaging | Email, SMS, push notifications |\n\n### Models Tested\n\n- **Claude Opus 4.6** — Anthropic\n- **GPT 5.3 Codex** — OpenAI\n- **Gemini 3.1 Pro (Preview)** — Google\n\nAll models are accessed via [OpenRouter](https://openrouter.ai) with temperature set to 0 for deterministic results.\n\n## Tech Stack\n\n**Frontend:** React, TanStack Start, Tailwind CSS, Vite, TypeScript\n\n**Benchmark:** Bun, OpenRouter\n\n## Getting Started\n\n### Prerequisites\n\n- Node.js 18+\n- [Bun](https://bun.sh) (for benchmark scripts and pre-build step)\n\n### Development\n\n```bash\nnpm install\nnpm run dev\n```\n\nThe app runs at `http://localhost:3000`.\n\n### Production Build\n\n```bash\nnpm run build\nnpm run preview\n```\n\n### Linting \u0026 Formatting\n\n```bash\nnpm run lint\nnpm run format\nnpm run check\n```\n\n### Tests\n\n```bash\nnpm run test\n```\n\n## Running Benchmarks\n\nThe benchmark suite lives in the `benchmark/` directory and requires an [OpenRouter API key](https://openrouter.ai/keys).\n\n```bash\ncd benchmark\ncp .env.example .env\n# Fill in your API key in .env\n\n# Run both modes\nbun run bench:all\n\n# Or run individually\nbun run bench:with-skills\nbun run bench:without-skills\n```\n\nKeep in mind, the benchmark only fills missing data in result JSON files, to minimize cost. If you intend to re-run the benchmark on existing results, you should delete the contents of the JSON files first.\n\nResults are saved to `src/data/results-with-skills.json` and `src/data/results-without-skills.json`, which the frontend reads at build time.\n\n## Project Structure\n\n```\n├── src/                    # Frontend application\n│   ├── components/         # React UI components\n│   ├── routes/             # File-based routes (TanStack Router)\n│   ├── data/               # Static benchmark result JSON files\n│   └── lib/                # Types, utilities, site config\n├── benchmark/              # Benchmark suite\n│   ├── src/\n│   │   ├── questions/      # 70 questions across 7 categories\n│   │   ├── skills/         # Appwrite documentation for context mode\n│   │   ├── runner.ts       # Test execution logic\n│   │   ├── judge.ts        # AI judge for free-form answers\n│   │   └── config.ts       # Model definitions and settings\n│   └── package.json\n├── scripts/                # Build-time scripts (GitHub stars fetcher)\n└── public/                 # Static assets\n```\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fappwrite%2Farena","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fappwrite%2Farena","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fappwrite%2Farena/lists"}