Amp

Amp

Amp Code
4.7 out of 5 stars
Enter Code

Enter Code

Converge AI
+
+

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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

Enter Code is a local AI super agent that runs in the terminal and is built for real engineering work across any stack, any project, and any output. It reads the relevant files, plans changes, writes code, runs tests, and helps users debug through natural language conversation. Short prompts can become concrete edits, verified answers, and fixes users can trust, with Enter Code analyzing the codebase, making implementation changes, checking results, and handing work back only after verification. It can answer architecture, data-flow, and side-effect questions with full project context by following request paths, related mutations, and async logic before responding. For debugging, Enter Code traces failures, patches code, adds regression coverage, and proves the issue stays fixed. It works across Go, Python, Rust, Java, TypeScript, backend services, CLI tools, mobile apps, data pipelines, and infrastructure code.

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

Engineers and fast-moving development teams that need a terminal-native AI agent to understand repos, implement changes, run tests, debug issues, and preserve project context

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

$12 per month
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 Not Supported
In Person Not Supported

Company Information

Amp Code
United States
ampcode.com

Company Information

Converge AI
Founded: 2025
Singapore
enter.converge.ai/code

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Categories

Categories

Integrations

Go Supported
Java Supported
Python Supported
Rust Supported
TypeScript Supported
Bitbucket Supported
CUDA Supported
Claude Mythos 5.1 Supported
Claude for Legal Supported
Dart Supported
Enter Pro Not Supported
GPT-5 Supported
GPT-5.5 Pro Supported
GPT-5.6 Terra Supported
Gemini Supported
GitHub Supported
GitLab Supported
OpenAI o1-mini Supported
PostgreSQL Supported
PowerShell Supported

Integrations

Go Supported
Java Supported
Python Supported
Rust Supported
TypeScript Supported
Bitbucket Not Supported
CUDA Not Supported
Claude Mythos 5.1 Not Supported
Claude for Legal Not Supported
Dart Not Supported
Enter Pro Supported
GPT-5 Not Supported
GPT-5.5 Pro Not Supported
GPT-5.6 Terra Not Supported
Gemini Not Supported
GitHub Not Supported
GitLab Not Supported
OpenAI o1-mini Not Supported
PostgreSQL Not Supported
PowerShell Not Supported
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