Comprehensive guide to Codex CLI: prompting, AGENTS.md, MCP, hooks, skills, sub-agents, orchestration, CI/CD, security, and enterprise deployment, with exercises Key Features Move from first principles to production workflows and team-scale agentic practice. Apply proven patterns for orchestration, code review, migration, testing, and CI/CD delivery. Harden agent sessions with approval modes, kernel-level sandboxing, and security practices. Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAgentic Coding with OpenAI Codex CLI is a comprehensive guide to agentic AI development with OpenAI's command-line coding agent. Across six parts, you'll move from first principles to production workflows and team-scale practice: prompting and AGENTS.md configuration, approval modes and kernel-level sandboxing, model selection, context and cost management, MCP servers, hooks, skills, sub-agents and orchestration, worktrees, CI/CD integration, security hardening, and enterprise deployment. Later chapters cover debugging and testing agentic workflows, AI code review, practical engineering guides (codebase migration, backend, frontend, and infrastructure as code), and the bigger picture: benchmarks, competing tools, harness engineering, and how to structure an agentic engineering team. Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents. It draws on real-world experience and community insights, and every chapter includes learning objectives, worked examples, and hands-on exercises.What you will learn Set up, authenticate, and prompt Codex CLI effectively Write AGENTS.md rules and apply patterns that avoid common pitfalls Choose approval modes, kernel-level sandboxing, and trust boundaries Manage model selection, reasoning effort, context windows, and cost Extend the agent w
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