Overview

Practical AI Engineering with Codex CLI & Gemini: Transform Everyday Coding, Testing, and Deployment Through Intelligent Developer Automation Every developer has faced the same pressure: deliver features faster, maintain higher code quality, and keep up with growing complexity-all without adding more hours to the day. What if your coding tools could take on the repetitive work, support your decisions, and accelerate every stage of your workflow? Practical AI Engineering with Codex CLI & Gemini gives you a complete, real-world blueprint for transforming the way you write, test, refactor, and ship software. This book goes far beyond basic AI-assisted coding. It shows you how to use Codex CLI, Gemini models, and the Agents SDK to automate high-value engineering tasks while keeping human judgment and safety at the center of the process. You'll learn how to turn everyday development routines into intelligent, reliable, and repeatable workflows. From generating new modules and cleaning up legacy code to writing tests, reviewing pull requests, orchestrating multi-service changes, and even preparing deployments-each chapter shows you how to integrate AI tools into your engineering practice with confidence. You will gain practical skills such as: Using Codex CLI and Gemini for code generation, refactoring, and multi-file editing Building automated test suites and integrating them with CI pipelines Structuring projects so AI agents operate safely and consistently Combining Gemini's reasoning with Codex's precision for hybrid workflows Reviewing AI-generated diffs with guardrails that maintain code reliability Automating releases, packaging, changelog creation, and deployment prep Scaling AI automation for solo developers, small teams, and larger engineering groups Adapting your workflows as models evolve, ensuring long-term maintainability Focused, actionable, and engineered for real results, this book is your guide to working faster without sacrificing quality. Whether you want to reduce repetitive work, modernize a legacy codebase, or introduce intelligent automation across your entire development pipeline, you'll find clear patterns and tested strategies you can apply immediately.

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