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qwenlm/qwen-code

📈 Trending★ 24,463TypeScriptAudience · developerComplexity · 2/5ActiveLicenseSetup · moderate

TLDR

A terminal-based AI coding assistant that helps you understand, refactor, and generate code by connecting to Qwen or other AI models.

Mindmap

mindmap
  root((repo))
    What it does
      Terminal coding assistant
      Multi-step code actions
      Refactor and test generation
    How to use
      JSON config file
      API key setup
      IDE integrations optional
    Supported models
      Qwen models
      OpenAI and Anthropic
      Google and others
    Use cases
      Explain codebases
      Automate repetitive tasks
      Generate unit tests

Things people build with this

USE CASE 1

Ask an AI assistant in your terminal to explain what a codebase does and how it's structured.

USE CASE 2

Refactor functions or generate unit tests for existing code by describing what you want.

USE CASE 3

Automate repetitive coding tasks like adding error handling or updating API calls across files.

Tech stack

TypeScriptNode.jsQwen APIOpenAI APIAnthropic API

Getting it running

Difficulty · moderate Time to first run · 30min

Requires API key from Qwen, OpenAI, or Anthropic to function.

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

Qwen Code is an open-source AI coding assistant that runs directly in your terminal, similar in concept to Claude Code. It is built and maintained by Alibaba's Qwen team and is optimized to work with the Qwen series of AI models, though it also supports models from OpenAI, Anthropic, and Google. The core use case is helping developers work with code from the command line. You can ask it to explain what a codebase does, describe its structure, refactor functions, generate unit tests, or automate repetitive coding tasks. It operates as an agentic tool, meaning it can take multi-step actions, reading files, making changes, and iterating, rather than just answering single questions. It connects to AI models through several authentication paths: an API key from Alibaba Cloud's Model Studio, a fixed-fee Coding Plan subscription, or API keys from other compatible providers like OpenRouter or Fireworks AI. The tool is configured by editing a JSON settings file, where you declare which models to use and supply your API keys. Optional integrations exist for VS Code, Zed, and JetBrains IDEs for developers who want to stay in their editor. A developer who works primarily in the terminal and wants an AI assistant to help with understanding and modifying codebases would use Qwen Code. It is particularly relevant for users in China or working with Alibaba Cloud services, where Qwen models are natively supported. The tool is written in TypeScript and requires Node.js 20 or later.

Copy-paste prompts

Prompt 1
Set up Qwen Code with my Alibaba Cloud API key and configure it to use the Qwen model for terminal-based code assistance.
Prompt 2
Use Qwen Code to analyze my project structure and explain what each module does in plain English.
Prompt 3
Ask Qwen Code to refactor a function for better performance and generate unit tests for the new version.
Prompt 4
Integrate Qwen Code with my VS Code editor so I can use it without leaving my IDE.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.