Amp vs. CodeGeeX Comparison


Amp Amp Code 4.7 out of 5 stars	CodeGeeX AMiner 5.0 out of 5 stars	+	+
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About Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.	About We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. Based on CodeGeeX, we develop a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) that assists the programming of different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. It means that when a few examples are provided as extra prompts in the input, CodeGeeX will imitate what are done by these examples and generate codes accordingly. Some cool features can be implemented using this ability, like code explanation, summarization, generation with specific coding style, and more. For example, one can add code snippets with his/her own coding style, and CodeGeeX will generate codes in a similar way. You can also try prompts with specific formats to inspire CodeGeeX for new skills.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Amp is built for professional software developers, engineers, and technical teams who want an advanced AI coding agent to handle complex codebases, accelerate development, and enable more ambitious engineering workflows	Audience Developers and teams that want an AI coding assistant to help them write code, or want to leverage it by on-premise hosting due to privacy reasons
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 4.7 / 5 ease 4.7 / 5 features 4.3 / 5 design 4.0 / 5 support 4.7 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Good integration with Pycharm, unit tests support, solving quickly programming challenges. The biggest pros -> reading whole source code project and proposing the answer based on the rest of the code. Takes the context of your code to give you answers, the vscode extension is awesome and support was incredibly fast when I had an issue. Amp was easy to get started with and it's very intuitive to use. This has been a nice alternative to coding with ChatGPT up in a browser where I have to copy and paste my code back and forth. I'm a big fan of the preset prompts as there are a few I would never have thought of asking. Cons Not following the pattern in a single chat even. F.ex. if I polish the tests to be using that framework or that way to mock it for one set of tests, for next method, it is forgetting my earlier "style". Sometimes the context is not that accurate, and the latest version came out bugged Not too many drawbacks outside of the general limitations of the AI. There have been a couple of times I've asked it to rewrite code for me and I had to prompt it to get it to give me an example in actual code vs just advice about how to improve the code.	Pros & Cons from Real Users Pros CodeGeeX is a viable option to GitHub Copilot as it enables users to produce code blocks simply by entering their desired comments. It is compatible with over 20 programming languages and includes useful functionalities such as code completion, code translation, and code explanation. These features can enhance coding productivity significantly. Cons On occasion, there may be a delay in generating lengthy code.
Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information Amp Code United States ampcode.com	Company Information AMiner China codegeex.cn/
Alternatives JetBrains Junie JetBrains	Alternatives Gemini Code Assist Google 5.0 out of 5 stars
Cursor 5.0 out of 5 stars	Tabnine 4.5 out of 5 stars
Kimi Code CLI Moonshot AI	Code Llama Meta
Claude Code Anthropic 5.0 out of 5 stars	CodeGPT 5.0 out of 5 stars
Amazon Q Developer Amazon 5.0 out of 5 stars View All	Workik 4.0 out of 5 stars View All
Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Code Generators Supported AI Code Refactoring Supported AI Code Review Supported AI Coding Agent Orchestrators Supported AI Coding Agents Supported AI Coding Assistants Supported AI Tools Supported Artificial Intelligence Supported Vibe Coding Supported	Categories AI Code Generators Supported AI Code Refactoring Supported AI Coding Assistants Supported AI Tools Supported

Integrations C Supported C++ Supported Go Supported Java Supported JavaScript Supported Python Supported COBOL Supported Claude Opus 4.5 Supported Claude Opus 5.5 Supported Claude Sonnet 5.5 Supported Dart Supported GPT-4.1 Supported GPT-5.2 Supported GPT-5.2 Instant Supported GPT-6 Sol Supported Holo4 Supported Lua Supported MySQL Supported OpenAI o1-mini Supported Visual Studio Code Not Supported Show More Integrations View All 123 Integrations	Integrations C Supported C++ Supported Go Supported Java Supported JavaScript Supported Python Supported COBOL Not Supported Claude Opus 4.5 Not Supported Claude Opus 5.5 Not Supported Claude Sonnet 5.5 Not Supported Dart Not Supported GPT-4.1 Not Supported GPT-5.2 Not Supported GPT-5.2 Instant Not Supported GPT-6 Sol Not Supported Holo4 Not Supported Lua Not Supported MySQL Not Supported OpenAI o1-mini Not Supported Visual Studio Code Supported Show More Integrations View All 7 Integrations
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