appwrite

appwrite / arena

Public

Benchmarking AI models on their knowledge of Appwrite SDKs and services. See how well LLMs understand Appwrite, with and without skill files.

arena.appwrite.io appwrite
18
1
100% credibility
Found Mar 06, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Appwrite Arena is an open leaderboard benchmarking leading AI models on their knowledge of Appwrite services through multiple-choice and open-ended questions in two modes: with and without documentation context.

How It Works

1
🔍 Discover the leaderboard

You stumble upon Appwrite Arena while searching for AI helpers that understand backend tools like Appwrite.

2
📊 Browse top models

You see a clear ranking of popular AI models and their scores on Appwrite knowledge across different topics.

3
⭐ Spot your winner

You filter by topics or costs to quickly find the smartest AI for what you need.

4
📖 Check the details

You tap a model to explore its answers to real questions about users, databases, and more.

5
💡 See right and wrong

You review example questions, model responses, and scores to grasp its strengths and gaps.

🎉 Choose confidently

You now know the best AI companion for your Appwrite project and feel ready to build smarter.

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Star Growth

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AI-Generated Review

What is arena?

Appwrite Arena is an AI benchmarking GitHub project that pits LLMs against 70 real-world questions on Appwrite SDKs and services, from auth and databases to functions and realtime. It compares model performance with and without Appwrite docs as context, delivering leaderboards, charts, and per-question breakdowns via a clean React frontend at arena.appwrite.network. TypeScript-powered with Bun for benchmarks and OpenRouter integration, it lets you run evals locally with your API key.

Why is it gaining traction?

In the crowded benchmarking LLMs GitHub scene, Arena stands out by laser-focusing on Appwrite knowledge—crucial for devs generating SDK code—via dual modes that expose raw recall vs. context leverage. Features like category radars, cost-efficiency charts, and easy re-runs hook Appwrite users tired of generic benchmarks. Open-source questions and results make it a quick win for stack-specific AI benchmarking models ai.

Who should use this?

Appwrite backend devs scripting functions or database queries with AI assistants. Teams prototyping LLM-powered CLI tools or code gen for Appwrite services like storage and messaging. Full-stack builders validating models before integrating Appwrite into AI workflows.

Verdict

Grab it if Appwrite is your stack—run benchmarks in minutes for actionable insights. At 1.0% credibility with 18 stars, it's raw (light docs, no evident tests), so fork and contribute to mature it.

(198 words)

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