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

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

Daniel Vaughan

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EBOOK
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Agentic 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.
  • 1. What Is Codex CLI?
  • 2. Getting Started with Codex CLI
  • 3. Prompting Codex CLI Effectively
  • 4. AGENTS.md: Patterns and Pitfalls
  • 5. Approval Modes and Trust Boundaries
  • 6. Model Selection and Reasoning Effort
  • 7. Context Window Management
  • 8. MCP: Consuming and Serving
  • 9. Hooks: Intercepting the Agent Lifecycle
  • 10. The Skills Ecosystem: Using and Writing Skills
  • 11. Sub-Agents and Parallel Execution
  • 12. Multi-Agent Orchestration Patterns
  • 13. Worktrees and Isolated Execution
  • 14. Cost Management and Quota Strategy
  • 15. CI/CD Integration
  • 16. Security Hardening
  • 17. Enterprise Deployment
  • 18. Debugging and Diagnosing Agent Failures
  • 19. Testing and Evaluation Strategy for Agentic Workflows
  • 20. AI Code Review
  • 21. Codebase Migration and Modernisation
  • 22. Backend Engineering
  • 23. Frontend Engineering
  • 24. Infrastructure as Code
  • 25. Benchmarks and Real-World Performance
  • 26. Competing Tools and When to Use Each
  • 27. Harness Engineering for Long-Running Agents
  • 28. The Agentic Engineering Pod
  • Tytuł:Agentic Coding with OpenAI Codex CLI. Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation
  • Autor:Daniel Vaughan
  • Tytuł oryginału:Agentic Coding with OpenAI Codex CLI. Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation
  • ISBN:9781808348884, 9781808348884
  • Data wydania:2026-08-12
  • Format:Ebook - EPUB
  • Identyfikator pozycji: e_57o3
  • Wydawca: Packt Publishing
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