Zoo Code

Zoo Code

Roo Code
+
+

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About

Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.

About

Zoo Code is an open source AI coding assistant for your IDE, built to help developers stay on task and ship great code with specialized modes and full model flexibility. Built-in Architect, Code, and Debug modes shape how the agent approaches different tasks, while custom modes let users create workflows for security reviews, documentation, or anything else they need. Architect mode can plan complex changes without editing files, producing strategy documents and file maps for review before code is written. The assistant supports multi-file editing, context management, customizable settings, and full bring-your-own-key support for any provider, making it fully model-agnostic. Every proposed change lands as a diff so developers can see exactly what will change before it touches the codebase, with no silent rewrites. External tools, databases, APIs, and custom resources can be connected through Model Context Protocol.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a simple to use but powerful AI coding assistant, AI code generator, and AI code completion tool

Audience

Developers seeking to use a customizable, model-agnostic AI coding assistant for planning, editing, debugging, and navigating code directly inside their IDE

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 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

  • Gemini Code Assist has been a game-changer for my development workflow, offering a seamless and intuitive way to enhance productivity without sacrificing code quality. This tool integrates smoothly with my existing IDE, providing context-aware suggestions and real-time error checks that catch issues before they escalate. The AI-driven code completion is impressively accurate, adapting to my coding style and even suggesting improvements I hadn’t thought of. One of the biggest advantages of Gemini Code Assist is its smart code suggestions. The AI suggestions are spot-on, saving time on repetitive coding tasks and reducing the margin for error. Additionally, the tool works smoothly with major IDEs, making it easy to adopt without disrupting my workflow. Real-time syntax and logic checks help maintain code quality, significantly reducing the need for extensive manual debugging. Another benefit is its customization options, allowing me to tweak its functionality based on my preferences, so I can set it to be as involved or hands-off as I need.

Cons

  • On the downside, I’ve noticed a slight lag when handling very large files, though it’s not significant enough to be a deal-breaker. Also, it can be a bit resource-intensive, so it might not be ideal for lower-spec systems.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/products/gemini/code-assist

Company Information

Roo Code
Founded: 2026
United States
www.zoocode.dev/

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JetBrains Junie

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Cody

Cody

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Categories

Categories

Integrations

Visual Studio Code
Apigee
Confluence
CreateOS
Gemini 1.5 Pro
Gemini 2.5 Pro
Gemini 3 Flash
Gemini 3 Pro
Google Cloud Platform
Google Cloud Shell
Kotlin
Lua
Model Context Protocol (MCP)
Pensero
PyCharm
Python
Rider
RubyMine
SQL
TypeScript

Integrations

Visual Studio Code
Apigee
Confluence
CreateOS
Gemini 1.5 Pro
Gemini 2.5 Pro
Gemini 3 Flash
Gemini 3 Pro
Google Cloud Platform
Google Cloud Shell
Kotlin
Lua
Model Context Protocol (MCP)
Pensero
PyCharm
Python
Rider
RubyMine
SQL
TypeScript
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