The Gemini CLI: A Practitioner's Guide to Building AI Agents, Automating Workflows, and Analyzing Million-Token Codebases from the Command Line
Language: English
Published by Independently published, 2025
- Softcover
- Used
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- Title
- The Gemini CLI: A Practitioner's Guide to Building AI Agents, Automating Workflows, and Analyzing Million-Token Codebases from the Command Line
- Author
- Reedwell, Max
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798275042962
For years, the workflow has been broken. You leave your terminal, open a browser, paste a stack trace into a chatbot, wait, copy the code, paste it back, and pray it works. The power of Generative AI was trapped behind a chat window—until now.
The Gemini CLI (gcli) changes the game. It is not just a chatbot in your shell; it is a fully autonomous agent with "hands" to edit files, "eyes" to search the web, and the reasoning power to execute complex, multi-step workflows on your behalf.
The Gemini CLI: A Practitioner’s Guide is the definitive handbook for developers, DevOps engineers, and data scientists who want to move beyond simple prompts and build agentic networks that understand their code, automate their drudgery, and secure their workflows.
In this practical guide, you will learn how to:
Master the "Reason and Act" (ReAct) Loop: Understand how agents break down complex goals into actionable plans, executing shell commands and file operations autonomously.
"Ask Your Codebase" (1 Million+ Tokens): Learn strategies to load entire repositories into context, enabling you to trace features across files, generate architectural diagrams, and perform semantic refactoring in minutes.
Automate the Boring Stuff: Build intelligent Git Pre-Commit Hooks that review your code for security flaws before you push, and create Daily Research Agents that scour the web and write briefings while you sleep.
Customize Your Agent: Use the GEMINI.md context file to enforce project-specific personas, style guides, and "Do Not" rules that ensure every line of code matches your team's standards.
Extend Capabilities with MCP: Dive deep into the Model Context Protocol to build secure, custom tools that let your AI interact with private GitHub repos, Jira tickets, and production databases.
Secure Your Workflow: Master the "Human-in-the-Loop" security model to prevent Prompt Injection and Data Exfiltration risks while giving your agent the power to work freely.
Who This Book Is For
This is is for practitioners—software engineers who live in Bash or PowerShell and want to integrate world-class reasoning engines directly into their scripts, CI/CD pipelines, and daily workflows.
Whether you want to refactor a legacy Express app to FastAPI, write end-to-end tests from user stories, or build a self-correcting research bot, this book provides the production-ready code and architectural patterns you need.
The command line gave us power. Generative AI gave us intelligence. This book shows you how to combine them.
Start building the future of automation today.
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