Agentic Coding with OpenAI Codex CLI: Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation

Kindle Edition or EPUB + Converted PDF نویسندگان: Daniel Vaughan
جزئیات
فرمت: Kindle Edition or EPUB + Converted PDF ناشر: Packt Publishing تاریخ انتشار نسخه الکترونیکی : August 12, 2026
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شابک: 9781808348884 لینک: https://www.amazon.com/dp/B0H8SBZ2RJ
توضیحات
Comprehensive guide to Codex CLI: prompting, AGENTS.md, MCP, hooks, skills, sub-agents, orchestration, CI/CD, security, and enterprise deployment, with exercisesKey FeaturesMove 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 eBookBook 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 learnSet up, authenticate, and prompt Codex CLI effectivelyWrite AGENTS.md rules and apply patterns that avoid common pitfallsChoose approval modes, kernel-level sandboxing, and trust boundariesManage model selection, reasoning effort, context windows, and costExtend the agent with MCP servers, hooks, and skillsCoordinate sub-agents, multi-agent orchestration, and worktreesIntegrate Codex into CI/CD, security hardening, and enterprise deploymentApply Codex to code review, migration, backend, frontend, and infrastructure as codeWho this book is forThis book is for software developers who are comfortable in a terminal and want to use AI agents for real engineering work rather than isolated code suggestions. It is also useful for tech leads and engineering managers who need a framework for adopting agentic coding safely at team or enterprise scale. DevOps practitioners and architects interested in integrating agent workflows into delivery pipelines will also find it relevant. Some experience with version control and command-line tools is assumed; no prior knowledge of Codex CLI is required.Table of ContentsWhat Is Codex CLI?Getting Started with Codex CLIPrompting Codex CLI EffectivelyAGENTS.md: Patterns and PitfallsApproval Modes and Trust BoundariesModel Selection and Reasoning EffortContext Window ManagementMCP: Consuming and ServingHooks: Intercepting the Agent LifecycleThe Skills Ecosystem: Using and Writing SkillsSub-Agents and Parallel ExecutionMulti-Agent Orchestration PatternsWorktrees and Isolated ExecutionCost Management and Quota StrategyCI/CD IntegrationSecurity HardeningEnterprise DeploymentDebugging and Diagnosing Agent Failures(N.B. Please use the Read Sample option to see further chapters)
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