workflowstacks
mcp-server

qwen-code: AI coding aid

Get AI coding assistance with qwen-code, for founders
27,492 stars2,957 forksTypeScriptGuide quality 8/10Updated 8/30/2026100% free · open source
What it does

Qwen-code assists founders with coding tasks using AI, providing suggestions and completing code in their terminal

When to use it
  • •When you need help with coding tasks and want AI-driven suggestions
  • •When you're looking for an open-source alternative to paid coding assistance tools
  • •When you want to automate repetitive coding tasks and focus on high-level development
Ready-to-paste prompt
qc complete console.log('Hello,
Heads up: You need to have Node.js and npm installed on your system to run Qwen-code, and ensure you have the necessary permissions to clone and install the repository
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/qwen-code && curl -fsSL https://workflowstacks.com/api/skills/qwen-code/claude-skill -o ~/.claude/skills/qwen-code/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How qwen-code: AI coding aid works
Codeflow
Free to inspect

Qwen-code: AI coding aid is a very large TypeScript project (~2.2M lines across 5594 code files, plus 321 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~2.2M lines · 5594 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
No API keys detected
TypeScript 81%Rust 8%JavaScript 5%C 4%Python 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    packages/core/index.ts
    Inside packages/core/ — the main logic begins here
What's in each folder
packages/core/Core code — the actual logic1343 files
packages/cli/Command-line entry points2138 files
integrations/Sub-packages / plugins79 files
docs/Documentation622 files
packages/cua-driver/Package657 files
packages/web-shell/Package632 files
packages/sdk-java/Package235 files
packages/webui/Package220 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
QwenLM
Language
TypeScript
Category
mcp-server
Published
6/26/2025

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