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What is Zoo Code?

Zoo Code is an innovative open-source AI coding assistant tailored for integration into your IDE, designed to help developers maintain concentration and generate superior quality code through its various specialized modes and customizable model functionalities. With distinct Architect, Code, and Debug modes, the assistant adapts its approach to different tasks, while user-defined modes allow for the establishment of personalized workflows tailored to needs such as security evaluations, documentation efforts, or other specific project demands. The Architect mode stands out by formulating complex strategies for modifications without necessitating direct file alterations; instead, it produces detailed strategy documents and file structures for review prior to coding begin. Furthermore, it incorporates advanced features like multi-file editing, context management, and extensive customization options, including compatibility with personal keys from any provider, ensuring it remains versatile and model-agnostic. Each proposed change is displayed as a diff, which helps developers visualize potential modifications before they are implemented, thus preventing any unforeseen alterations to the codebase. Alongside these functionalities, the Model Context Protocol enhances connectivity with external tools, databases, APIs, and custom resources, which significantly boosts overall integration and productivity. Consequently, developers are equipped with a powerful and adaptable tool, capable of supporting a diverse range of coding tasks and fostering more efficient development processes. This unique combination of features positions Zoo Code as an essential resource for developers seeking to enhance their workflow.

What is Amp?

Amp is a frontier coding agent designed to redefine how developers interact with AI during software development. Built for use in terminals and modern editors, Amp allows engineers to orchestrate powerful AI agents that can reason across entire repositories, not just isolated files. It supports advanced workflows such as large-scale refactors, architecture exploration, agent-generated code reviews, and parallel course correction with forced tool usage. Amp integrates leading AI models and layers them with robust context management, subagents, and continuous tooling improvements. Developers can let agents run autonomously, trusting them to produce consistent, high-quality results across complex projects. With strong community adoption, rapid feature releases, and a focus on real engineering use cases, Amp stands out as a premium, agent-first coding platform. It empowers developers to ship faster, explore deeper, and build systems that would otherwise require significantly more time and effort.

Media

Media

Integrations Supported

Visual Studio Code

Integrations Supported

C++
CUDA
Claude Fable 5.1
Claude Haiku 5.5
Claude Mythos 5
Claude Opus 3
Claude Sonnet 4
Claude Sonnet 5.5
Emdash
GLM-5.3
GPT-5.1
GPT-6 Astra
GPT-6 Luna
GPT-6.1 Sol
GitHub
GraphQL
MySQL
PHP
Pascal

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Roo Code

Date Founded

2026

Company Location

United States

Company Website

www.zoocode.dev/

Company Facts

Organization Name

Amp Code

Company Location

United States

Company Website

ampcode.com

Categories and Features

AI Coding Agents

Not specified

AI Coding Assistants

Not specified

Categories and Features

Agentic AI

Not specified

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Code Review

Not specified

AI Coding Agents

Not specified

AI Coding Assistants

Not specified

AI Tools

Not specified

Vibe Coding

Not specified

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