Docker Claude Code Install & AI Programming Guide

## 1. Introduction This video explains how to install the Docker version of Claude Code and provides a guide for related usage operations. Disclaimer: Released with DP_IT video, free to use, any resale or commercial activities are strictly prohibited. If someone sold this to you, please request a refund. Website: https://dpit.lib00.com ## 2. Resource Links Used in the Video > Download addresses for various materials used: Quark Cloud Drive: https://pan.quark.cn/s/0da2ba266834 Xunlei Cloud Drive: https://pan.xunlei.com/s/VOYCb9ff_ulWiojR6jwfOFxOA1?pwd=dhce UC Cloud Drive: uploading Google drive: uploading > docker hub: https://hub.docker.com/r/lib00/ee-claudecode-image ## 3. Commands Used in the Video > //1. docker load image / choose 1 of 2 cd xxxxx docker load -i ee-claudecode-image_1.0.81.tar docker pull lib00/ee-claudecode-image:1.0.81 > //2. docker view installed image list docker images > //3. docker container creation docker run -itd --name ee-claudecode \ -v /Volumes/eeBox/eeTmp/cc_test_01:/cc_test_01 \ ee-claudecode-image:1.0.81 > //4. docker view container list docker ps -a > //5. docker run container docker start ee-claudecode docker start fd1e3a0fd07b > //6. docker enter container docker exec -it fd1e3a0fd07b zsh > //7. claude code check version claude --version > //8.1. claude code startup //official subscription/API cd /cc_test_01 claude > //8.2. claude code startup //relay - temporary test cd /cc_test_01 ANTHROPIC_BASE_URL=https://dpit.lib00.com ANTHROPIC_AUTH_TOKEN=sk-dpit_key claude

# Docker Claude Code Install & AI Programming Guide ## Video Overview This comprehensive tutorial demonstrates how to install and configure Claude Code using Docker containers, making it ideal for programming beginners and developers seeking a quick AI-powered development environment setup. The Docker version effectively eliminates complex development environment configuration issues, allowing users to focus on AI-assisted programming. --- ## Key Content Points ### 1. **Prerequisites** - **Docker Environment**: Docker must be pre-installed locally - **Resource Access**: Visit dpit.lib00.com and search "claude code" for complete documentation and required resources - **Version Info**: Tutorial uses Claude Code version 1.0.81 (latest at recording time) ### 2. **Docker Image Acquisition Methods (Three Options)** **Method 1: Docker Pull Command** - Direct pull from official repository if Docker network is accessible - Suitable for users with good network connectivity **Method 2: Dockerfile Build** - Download Dockerfile from Quark cloud storage - Suitable for developers with Docker experience who prefer building images themselves **Method 3: Local Image Import (Recommended for Beginners)** - Download compressed image (500+ MB) or uncompressed file (1.4GB) - Rename files: Remove parentheses, change extension to .tar or .tar.gz - Import using `docker load` command ### 3. **Image Import Steps** ```bash # Navigate to image directory cd /path/to/image/directory # Load image docker load -i image_filename.tar # Verify successful import docker images ``` ### 4. **Container Creation and Execution** - Create working directory (e.g., cc_test_01) for project files - Obtain complete path of working directory - Launch container using docker run command with local directory mount **Key Configuration Points:** - Replace local working directory path with actual path - Recommended to keep default Docker container internal path for first use - If using Docker pull method, add "lib00/" prefix to image name ### 5. **Container Management Commands** ```bash # List all containers docker ps -a # Start container docker start [container_ID or name] # Stop container docker stop [container_ID or name] # Enter container docker exec -it [container_ID] /bin/bash # Check Claude Code version claude --version ``` ### 6. **Claude Code Usage Scenarios** **Scenario 1: Official Subscription Mode** ```bash cd /work claude ``` **Scenario 2: API Proxy Mode (for China users)** ```bash export ANTHROPIC_API_URL=your_proxy_API_address export ANTHROPIC_API_KEY=your_proxy_KEY claude ``` ### 7. **VS Code Integration Setup** **Required Extensions:** - Claude Code for VS Code - Dev Containers **Integration Steps:** 1. Open VS Code command palette (Ctrl/Cmd+Shift+P) 2. Select "Dev Container: Attach to Running Container" 3. Choose the running Claude Code container 4. Type `IDE` command in container terminal to activate IDE connection ### 8. **Docker Version Advantages** ✅ **Beginner-Friendly**: Eliminates complex environment configuration and dependency issues ✅ **Security Isolation**: Claude only has read/write permissions for working directory ✅ **Complete Environment**: Container includes all necessary base environments and dependencies ✅ **Extensibility**: Serves as foundation for installing additional tools like CCR ✅ **Remote Deployment**: Supports deployment on NAS or servers for remote development ### 9. **Target Audience** - AI programming beginners - Developers needing quick development environment setup - Users seeking isolated development environments - Teams requiring synchronized development environments across multiple devices --- ## Advanced Use Cases **Remote Development Workflow:** - Deploy Docker container on NAS or remote server - Access container remotely for programming and deployment - Maintain consistent development environment across locations **Scalability Options:** - Install additional development tools within container - Customize environment for specific project requirements - Create templated containers for different project types --- ## SEO Keywords Docker Claude Code, AI programming automation, Claude Code installation, Docker container development, VS Code AI extension, Anthropic Claude, AI-assisted coding tutorial, Claude Code setup guide, Docker development environment, AI programming tools, containerized development, Claude Code Docker tutorial, AI code assistant --- ## Summary This tutorial provides a complete Dockerized Claude Code solution, particularly suited for developers wanting to avoid complex environment configurations. Through containerized deployment, users gain an instant, securely isolated, and easily manageable AI programming environment. Whether for local development or remote deployment, Docker-based Claude Code demonstrates excellent flexibility and practicality.