vaibhavgawali/gemini-cli repository overview

⁠Gemini CLI Docker Based Development Container

AI-Powered Terminal Assistant with Full-Stack Development Environment

This repository provides production-ready Docker images featuring Google's Gemini CLI - an open-source AI agent that brings Gemini 2.5 Pro directly into your terminal - pre-configured with a comprehensive multi-language development stack.​

⁠What's Inside

Base Development Stack:

1. .NET SDK 10 (latest)
2. Node.js (latest LTS)
3. Python 3 with pip
4. OpenJDK (latest)
5. Gemini CLI (pre-installed and configured)

⁠Key Features:

1. AI-Assisted Development: Leverage Gemini's 1 million token context window for analyzing large codebases, bug detection, code refactoring, and automated test generation​
2. Ready-to-Code Environment: Zero-configuration development container with all major language runtimes pre-installed
3. Terminal-Native Workflow: Lightning-fast AI assistance without IDE overhead or complex configurations​
4. Built-in Tool Integration: Access to file operations, shell execution, web search, and Model Context Protocol (MCP) server support​
5. Rapid Prototyping: Perfect for quick experimentation, proof-of-concepts, and cross-platform development

⁠Ideal Use Cases

1. Quick Start Development: Spin up a complete development environment in seconds
2. Cross-Platform Projects: Build applications targeting .NET, Node.js, Python, and Java ecosystems simultaneously
3. AI-Powered Code Analysis: Investigate codebases, understand architecture, and identify bugs using natural language​
4. Prototyping & POCs: Rapidly test ideas across multiple technology stacks
5. CI/CD Pipelines: Standardized build environment for multi-stack projects
6. Learning & Experimentation: Safe, isolated environment for exploring AI-assisted development workflows

⁠Authentication

Gemini CLI supports multiple authentication methods:​

1. Google Account (60 requests/minute, 1,000 requests/day free tier)​
2. Gemini API Key
3. Google Cloud Vertex AI

Simply run gemini after container launch to authenticate and start developing with AI assistance.

⁠How to Build and Run the Container

docker build -t gemini-cli .
docker build -t gemini-cli:v3_devtools -t gemini-cli:v3 -t gemini-cli:v3_0.15 -t gemini-cli:v3-dotnet-node-python-openjdk .

Run the container: The CLI can now be run using your new image:

docker run -it -v .:/context -e GEMINI_API_KEY="<API_key_goes_here>" --entrypoint /bin/bash gemini-cli-image
docker run -it -v .:/context -e GEMINI_API_KEY="<API_key_goes_here>" gemini-cli-image

When the container runs, select the gemini key option passed via command line for first time you use it.

⁠References

1. Gemini-CLI API key can be created/found Here⁠
2. Gemini-CLI GitHub location⁠
3. NetworkChuck - Video demonstration about Gemini-CLI usage⁠
4. Gemini-CLI usage demo reference 2⁠