MonkeyCode: Secure Private AI Coding with Integrated Security Scanning & Admin Controls

MonkeyCode is an AI-driven development platform engineered by Chaitin specifically for enterprise R&D teams. Designed for full private and offline deployment, it eliminates concerns regarding data leaks and intellectual property privacy. MonkeyCode assists developers with AI-powered code completion and natural language programming, while simultaneously scanning code for potential security vulnerabilities. Its enterprise-grade admin panel allows managers to audit and oversee every AI-assisted action, resulting in higher development efficiency and more secure codebases. The client plugin is built upon Roo Code, enhanced with proprietary features and a refined user interface, and is released under the AGPL-3.0 open-source license.

Key Features

1. Enterprise Admin Panel – Provides rigorous auditing and oversight of AI coding activities. Administrators can monitor global statistics, member engagement, active user counts, and detailed chat logs to facilitate better team coordination.
2. Private Deployment – Supports one-click installation within your internal environment. This satisfies strict data privacy requirements and allows the platform to function entirely offline.
3. Integrated Security Scanning – A built-in engine automatically identifies high-risk vulnerabilities in AI-generated code, ensuring that the final output is reliable and production-ready.
4. Smart Code Completion – The AI analyzes your existing codebase and context to suggest relevant completions. This reduces manual typing and accelerates the development cycle. Real-world impact is tracked through completion adoption rates over a 90-day window.
5. Natural Language Programming – Developers can interact with the AI using plain language to write, debug, design, or document code. For instance, a prompt such as “Generate a gray block for text input” will produce the corresponding code immediately.

Installing and Configuring MonkeyCode

Preparation Ensure you are using a Linux system running Docker 20.x or higher. You must have root privileges to proceed with the installation.

One-Click Installation Execute the following command in your terminal and follow the on-screen prompts:

bash -c "$(curl -fsSLk https://release.baizhi.cloud/monkeycode/manager.sh)"

Once the installation is complete, the terminal will display the internal access URL, along with the default username and password. Open this URL in your web browser to log in.

Configure the AI Model This is a mandatory configuration step. MonkeyCode requires two distinct AI models: a chat model for conversational code generation and a dedicated code completion model. The platform includes the qwen2.5-coder-3b-instruct model from the Baizhi Cloud Model Hub by default, though you may also integrate your own custom models.

Invite Team Members Navigate to the “Member Management” section and select “Invite New User.” The system will generate a unique invitation link for each developer. Once they use the link to register, they can immediately begin using the AI tools.

Using MonkeyCode in VS Code

Install the VS Code Extension

1. Open Visual Studio Code and navigate to the Extensions tab on the left sidebar.
2. Click the “…” (More Actions) button in the top-right corner of the Extensions pane.
3. Select “Install from VSIX…” from the dropdown menu.
4. Locate and select the plugin file to complete the installation.

Sign In Once installed, click the MonkeyCode icon in the sidebar and select “Sign in and get started.” Your browser will open the login page. Sign in with your registered credentials. When prompted by the browser to open Visual Studio Code, confirm the request. Finally, confirm the connection within VS Code to activate the extension.

Utilize the Features

1. Chat Programming – Enter your requirements into the input field. The AI will generate the necessary code changes, which you can review and apply. For example, you might request: “Add a loading animation that triggers when the login button is clicked.” The AI will then provide the specific code fix.
2. Code Completion – As you write code, the AI will suggest relevant snippets in real-time. Simply press the Tab key to accept a suggestion.

Team Management

1. Member Oversight – Administrators can monitor account status, registration dates, and the last time a user was active. Security can be tightened by enforcing two-factor authentication (2FA) or disabling standard password logins.
2. Usage Statistics – The dashboard provides a clear overview of code contributions and completed tasks for each team member, making it easy to monitor overall project momentum.