Amp

Amp

Amp Code
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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

Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.

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 Not Supported
Cloud Not 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

Engineering teams and developers looking for a tool to streamline complex development workflows by leveraging AI agents that understand project context and can autonomously execute tasks under guided behavior

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

$20/month
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

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

Qoder
Founded: 2025
Singapore
qoder.com

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

TRAE

TRAE

ByteDance
Kimi Code CLI

Kimi Code CLI

Moonshot AI
Devin Desktop

Devin Desktop

Cognition
Claude Code

Claude Code

Anthropic
Agentforce Vibes

Agentforce Vibes

Salesforce
Kiro

Kiro

Amazon Web Services

Categories

Agentic AI Supported
AI Code Generators Supported
AI Code Review Supported
AI Coding Agents Supported
AI Tools Supported
Vibe Coding Supported

Categories

Agentic AI Supported
AI Code Generators Supported
AI Coding Agents Supported
AI IDEs Supported
Vibe Coding Supported

Integrations

C Supported
C# Supported
C++ Supported
Claude Supported
GLM-5.2 Supported
GLM-5.3 Supported
Gemini Supported
GitHub Supported
Go Supported
Java Supported
JavaScript Supported
Python Supported
Slack Supported
TypeScript Supported
Claude Haiku 4.5 Supported
Emacs Supported
GPT-5.2 Thinking Supported
GPT-5.6 Luna Supported
GPT-5.6 Terra Supported
GPT-6 Sol Supported

Integrations

C Supported
C# Supported
C++ Supported
Claude Supported
GLM-5.2 Supported
GLM-5.3 Supported
Gemini Supported
GitHub Supported
Go Supported
Java Supported
JavaScript Supported
Python Supported
Slack Supported
TypeScript Supported
Claude Haiku 4.5 Not Supported
Emacs Not Supported
GPT-5.2 Thinking Not Supported
GPT-5.6 Luna Not Supported
GPT-5.6 Terra Not Supported
GPT-6 Sol Not Supported
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