Gemini CLI Tutorial: Terminal-First Agent Workflows with Google Gemini

May 11, 2026 ยท View on GitHub

Learn how to use google-gemini/gemini-cli to run coding and operations workflows in terminal-first loops with strong tooling, MCP extensibility, headless automation, and safety controls.

GitHub Repo License Docs

Why This Track Matters

Gemini CLI is now one of the largest open-source coding-agent CLIs and provides a full stack for interactive, scripted, and extensible AI-assisted development.

This track focuses on:

  • getting stable local setup and authentication running quickly
  • understanding settings, command surfaces, and model routing
  • integrating MCP servers, extensions, and skills safely
  • operating Gemini CLI in automation and production-adjacent workflows

Current Snapshot (auto-updated)

Mental Model

flowchart LR
    A[Prompt or command] --> B[Gemini CLI runtime]
    B --> C[Model routing and settings]
    C --> D[Tools and MCP integrations]
    D --> E[Interactive or headless output]
    E --> F[Checkpoint, iterate, automate]

Chapter Guide

ChapterKey QuestionOutcome
01 - Getting StartedHow do I install and run Gemini CLI quickly?Working baseline
02 - Architecture, Tools, and Agent LoopHow does Gemini CLI orchestrate core behavior?Strong execution mental model
03 - Authentication and Model Access StrategyHow do auth methods and model routing differ?Stable access strategy
04 - Settings, Context, and Custom CommandsHow do I customize behavior without workflow drift?Reproducible customization
05 - MCP, Extensions, and SkillsHow do I extend capabilities safely?Better extensibility model
06 - Headless Mode and CI AutomationHow do I run Gemini CLI in scripts and pipelines?Automation readiness
07 - Sandboxing, Security, and TroubleshootingHow do I reduce operational risk and recover quickly?Reliability playbook
08 - Contribution Workflow and Enterprise OperationsHow do teams contribute and standardize usage at scale?Team adoption baseline

What You Will Learn

  • how to operate Gemini CLI across interactive and scripted workflows
  • how to configure model/auth/runtime settings for reliability
  • how to connect MCP servers and extension systems safely
  • how to deploy governance and contribution practices for teams

Source References


Start with Chapter 1: Getting Started.

Full Chapter Map

  1. Chapter 1: Getting Started
  2. Chapter 2: Architecture, Tools, and Agent Loop
  3. Chapter 3: Authentication and Model Access Strategy
  4. Chapter 4: Settings, Context, and Custom Commands
  5. Chapter 5: MCP, Extensions, and Skills
  6. Chapter 6: Headless Mode and CI Automation
  7. Chapter 7: Sandboxing, Security, and Troubleshooting
  8. Chapter 8: Contribution Workflow and Enterprise Operations

Generated by AI Codebase Knowledge Builder