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    • Nyhet

    Agentic Coding with OpenAI Codex CLI

    Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation

    AvDaniel Vaughan

    Häftad, Engelska, 2026

    633 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2026-08-12
    • Mått:191 x 235 x 34 mm
    • Vikt:1 134 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:670
    • Förlag:Packt Publishing Limited
    • ISBN:9781808348891

    Utforska kategorier

    • Webbprogrammering inom Data och IT
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Daniel Vaughan is Programme Director at HCLTech AI Labs, where he works across enterprise delivery, research, and engineering teams. He uses Codex CLI across production codebases, greenfield projects, CI pipelines, and local development, bringing a practitioner's view of agentic engineering to this book.

    Innehållsförteckning

    • 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 FailuresTesting and Evaluation Strategy for Agentic WorkflowsAI Code ReviewCodebase Migration and ModernisationBackend EngineeringFrontend EngineeringInfrastructure as CodeBenchmarks and Real-World PerformanceCompeting Tools and When to Use EachHarness Engineering for Long-Running AgentsThe Agentic Engineering Pod