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features
design
support

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Description

AtomCode is an innovative open-source AI coding assistant that operates directly within the terminal, enabling it to autonomously read and edit files, run commands, search the web, conduct tests, and verify its own work until each task is accomplished. Serving as a multi-model alternative to platforms like Claude Code and Cursor Agent, it is compatible with a range of models including Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any other API that aligns with OpenAI's standards. The agent's advanced code graph functionalities facilitate symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis, allowing it to navigate extensive codebases with a depth of understanding that transcends simple text searches. Additionally, developers have the capability to attach screenshots and images, with vision preprocessing available to derive valuable context when the primary model lacks direct image support. AtomCode also features seamless integration with AtomGit for managing OAuth logins, repositories, issue tracking, and pull requests, while further enhancing its utility with support for MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows. This comprehensive set of features makes AtomCode a robust tool for developers seeking efficiency and versatility in their coding tasks.

Description

Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
Alibaba AI Coding Plan No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Mythos 5 No 
Claude Opus 4.1 No 
Claude Sonnet 4 No 
Claude Sonnet 5.5 No 
DeepSeek Yes 
GLM-4.1V Yes 
Git Yes 
Melaya No 
Node.js No 
Qwen Yes 
Qwen 4 No 
Qwen3.7-Max No 
Qwen3.8-27B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
Step 5 Preview No 

Integrations

OpenAI Yes 
Alibaba AI Coding Plan Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Mythos 5 Yes 
Claude Opus 4.1 Yes 
Claude Sonnet 4 Yes 
Claude Sonnet 5.5 Yes 
DeepSeek No 
GLM-4.1V No 
Git No 
Melaya Yes 
Node.js Yes 
Qwen No 
Qwen 4 Yes 
Qwen3.7-Max Yes 
Qwen3.8-27B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
Step 5 Preview Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

AtomGit

Founded

2023

Country

China

Website

atomcode.atomgit.com

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

github.com/QwenLM/qwen-code

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