Amp

Amp

Amp Code
4.7 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

CodeMetal is an AI-enabled code translation and deployment platform designed to help engineering teams automatically convert high-level reference code into optimized, hardware-specific implementations for edge and embedded environments. It allows developers to write algorithms in familiar languages such as Python, MATLAB, or Julia and then automatically generates low-level code tailored to the target runtime, including embedded C/C++, Rust, CUDA, or FPGA languages. Its agentic workflow analyzes module dependencies, maps equivalents across architectures, and produces a transpilation and deployment plan that developers can review or execute directly. CodeMetal emphasizes verifiable AI by combining generative techniques with formal methods to ensure translated code is tested, compliant, and production-ready, addressing the reliability concerns common in safety-critical industries.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not 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

Software and embedded systems engineers who need to automatically translate and optimize high-level code for deployment across diverse edge and hardware environments

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not 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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Amp Code
United States
ampcode.com

Company Information

Code Metal
Founded: 2023
United States
www.codemetal.ai/

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Categories

Categories

Integrations

C Supported
C++ Supported
CUDA Supported
Python Supported
Rust Supported
Claude Fable 5.1 Supported
Claude Fable 5.5 Supported
Claude Sonnet 4.5 Supported
Emacs Supported
Entire Supported
GPT-5.1 Pro Supported
GPT-5.2 Supported
GPT-6.1 Sol Supported
Gemini 3 Deep Think Supported
Haskell Supported
Kotlin Supported
OpenAI Bel Supported
Perl Supported
ProofSnap Supported
XHawk Supported

Integrations

C Supported
C++ Supported
CUDA Supported
Python Supported
Rust Supported
Claude Fable 5.1 Not Supported
Claude Fable 5.5 Not Supported
Claude Sonnet 4.5 Not Supported
Emacs Not Supported
Entire Not Supported
GPT-5.1 Pro Not Supported
GPT-5.2 Not Supported
GPT-6.1 Sol Not Supported
Gemini 3 Deep Think Not Supported
Haskell Not Supported
Kotlin Not Supported
OpenAI Bel Not Supported
Perl Not Supported
ProofSnap Not Supported
XHawk Not Supported
Claim Amp and update features and information
Claim Amp and update features and information
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Claim Code Metal and update features and information