Mastering Gemini CLI for AI Development
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 25.98
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Add to basketItem description from seller
Seller Inventory # L2-9798198869554
- Title
- Mastering Gemini CLI for AI Development
- Author
- McLucas, Cameron
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798198869554
- Item weight
- 264 grams
Mastering Gemini CLI for AI Development: Streamline Local Coding Workflows, Automate Enterprise GitHub Actions, and Deploy Containerized ReAct Agent Pipelines
Turn your terminal into a practical AI development command center without losing control of your code, workflow, or security.
Tired of jumping between browser-based AI chats, local files, GitHub issues, CI logs, and container tools just to keep one project moving? Modern developers need more than quick prompts. They need AI that works inside the environment where software is actually built.
Mastering Gemini CLI for AI Development is a hands-on guide to using Gemini CLI for faster local coding, smarter automation, and production-ready agent workflows. You’ll learn how to install, configure, secure, and operate Gemini CLI across real developer environments, from local shells to enterprise GitHub Actions pipelines.
This book shows you how to build practical workflows using Gemini CLI, ReAct agent loops, MCP server integrations, GEMINI.md memory files, custom skills, slash commands, container sandboxes, and automated pull request review systems.
Inside, you’ll learn how to:
- Set up Gemini CLI across macOS, Linux, Windows, and restricted environments
- Use terminal-native AI to inspect files, modify code, and verify results
- Build ReAct agent pipelines that reason, act, observe, and iterate
- Connect external tools with MCP servers and custom extensions
- Automate GitHub issue triage, pull request reviews, and CI/CD checks
- Secure API keys, credentials, containers, and enterprise workflows
- Deploy sandboxed AI automation with Docker, Podman, and GitHub Actions
This book is for developers, DevOps engineers, AI engineers, systems architects, and technical teams who want practical AI coding automation without relying on scattered tools or fragile manual steps.
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PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
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