Baidu Comate is an AI-powered code assistant built on the Wenxin LLM. It helps developers write, comment, test, and optimize code—especially for Chinese development environments.
Baidu Comate is an AI coding assistant developed by Baidu, built on its Wenxin large language model (LLM). It helps software developers write code faster, generate comments, create unit tests, and optimize code. Designed especially for Chinese-language environments, Comate is ideal for developers working in Java, Python, C++, JavaScript, and more.
Target users include professional developers, QA engineers, enterprise dev teams, and anyone looking to improve their coding efficiency with AI.
Smart Code Completion
Predicts and completes code as you type, improving speed and reducing syntax errors.
Comment Auto-Generation
Generates clean, accurate comments for functions and modules based on the code logic.
Unit Test Generation
Automatically creates test cases for your functions, speeding up QA and test writing.
Natural Language to Code
Converts Chinese instructions directly into working code.
Code Optimization & Suggestions
Analyzes your code for potential issues and recommends improvements or refactors.
Q: Is Baidu Comate free to use?
A: It offers a basic free plan. Paid plans are available for enhanced features, larger quotas, and enterprise deployment.
Q: What programming languages and IDEs are supported?
A: Comate supports Java, Python, C++, JavaScript, and Go. IDE support includes VS Code and JetBrains-based editors.
Q: Is Baidu Comate good for beginner developers?
A: Yes, especially for developers comfortable with Chinese. It helps beginners write better-structured, well-documented code.
Q: How does Comate compare to GitHub Copilot?
A: Comate is tailored for Chinese developers and better understands Chinese instructions. Copilot, powered by OpenAI, is more optimized for English-based workflows. Choose based on your language and project needs.
Q: Does Comate upload or store my code?
A: Comate provides transparent data usage policies. For sensitive projects, enterprise users can request private deployment.
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