翻訳待ち：Show HN: Qwen3.8-Max – Use Qwen Studio and MCP to Code Locally for Free

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 3 Commits 3 Commits assets assets .gitignore .gitignore LICENSE LICENSE README.md README.md Repository files navigation Code locally for free using one of the most powerful open-source AI models — no API keys, no subscriptions, no limits. This guide shows you how to set up Qwen 3.8-Max (via Qwen Studio) with MCP (Model Context Protocol) to read, write, and edit files on your machine — turning it into a fully capable local AI coding assistant. 🎬 Demo ✨ Why This Setup? Feature Details 💰 Cost Completely free 🔒 Privacy Your code never leaves your machine ♾️ Usage Unlimited — no rate limits or quotas 🧠 Model Qwen 3.8-Max — 2.4T parameter MoE model (~95B active), 1M context window, native multimodal 🔌 Integration MCP Filesystem — full read/write access to your local files 🛠️ Step-by-Step Setup Step 1: Download & Install Qwen Studio Go to qwen.ai/download and download the desktop application for your operating system (macOS, Windows, or Linux). Install and open Qwen Studio. Step 2: Open MCP Settings In the Qwen Studio interface, look for the Add (+) icon or the Settings (⚙️) icon. Click on it to open the settings panel. Find and click on the MCP option. Step 3: Enable Filesystem MCP Navigate to "My MCPs" section. Locate the MCP called "Filesystem". Enable it by toggling it on. Don't see it pre-listed? Add any MCP manually None of these MCP servers are actually built into Qwen Studio — they're all fetched at runtime from public registries (npm or PyPI) the first time they run. That means anyone can add them by hand via "Add MCP" → STDIO, even if your build doesn't pre-list them. Here are the exact configs: 📁 Filesystem (Node/npm — runs via npx) Field Value Command npx Args -y, @modelcontextprotocol/server-filesystem@latest, JSON config: { "mcpServers": { "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem@latest", "/Users/yourname/Projects"] } } } Replace /Users/yourname/Projects with the actual path to the folder you want the model to access. 🌐 Fetch (Python — runs via uvx, NOT npx) Field Value Command uvx Args mcp-server-fetch JSON config: { "mcpServers": { "fetch": { "command": "uvx", "args": ["mcp-server-fetch"] } } } ⚠️ Requires uv/uvx installed (Python's package runner, separate from Node/npx). Install from https://docs.astral.sh/uv/getting-started/installation/ Step 4: Start Coding! That's it! You now have a fully functional local AI coding assistant that can: 📖 Read your project files and understand your codebase ✏️ Write new files and create entire projects 🔧 Edit existing code with context-aware modifications 📁 Navigate your file system and understand project structure 💡 Tips for Best Results Be specific — Tell the model exactly which files or directories to work with Provide context — Mention the programming language, framework, or library you're using Iterate — Start with small tasks and build up to larger ones Review changes — Always review the code changes before accepting them 🤔 FAQ Is this really free? Yes! Qwen 3.8-Max is an open-source model by Alibaba. Qwen Studio provides a free desktop interface to run it locally on your machine. No API keys or subscriptions required. What is Qwen 3.8-Max? Qwen 3.8-Max is Alibaba's most capable open-source model, released on August 3, 2026. It's a 2.4-trillion-parameter sparse Mixture-of-Experts (MoE) model with ~95 billion active parameters per token. It supports a 1-million-token context window and native multimodal input (text, image, video). Read the official blog post for full details. How does MCP work? MCP (Model Context Protocol) is an open standard that allows AI models to interact with external tools and data sources. The Filesystem MCP gives the model permission to read and write files on your local machine, enabling it to act as a coding assistant. Is my code safe? Absolutely. Everything runs locally on your machine. Your code is never sent to any external server or API. What kind of coding tasks can it handle? Pretty much anything — writing new code, debugging, refactoring, explaining code, creating project structures, writing tests, and more. Qwen 3.8-Max excels at coding, professional "cowork" tasks, and long-horizon agentic workflows. 📚 Resources 📥 Download Qwen Studio 📝 Qwen 3.8-Max Blog Post 🌐 Qwen Official Website 🌟 Star This Repo If you found this useful, please ⭐ star this repo to help others discover it! 📄 License This project is licensed under the MIT License. MIT license Activity Stars 1 star Watchers 0 watching Forks 0 forks Report repository