Agentic Coding with OpenAI Codex CLI
Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation
Created by Daniel Vaughan
Explore how to build intelligent agent workflows using OpenAI Codex CLI, moving from foundational concepts to advanced automation and deployment. You'll learn to design, secure, and orchestrate AI coding agents for real-world engineering tasks. The course focuses on hands-on techniques and proven patterns for effective agentic software development.
Packt | Aug 2026 | 670 min
What You Will Learn
You will start with core agentic engineering concepts and gradually build up to advanced orchestration and automation. Through practical exercises and real-world examples, you'll set up Codex CLI, configure agent rules, and integrate with delivery pipelines. Each section focuses on actionable skills you can apply to your own projects.
Key Features
- Design and orchestrate multi-agent workflows for real engineering projects
- Integrate AI agents into CI/CD pipelines and automate code delivery safely
- Apply security hardening and approval modes to protect agent-driven processes
Target Audience
This course is ideal for software developers comfortable with the command line who want to use AI agents for more than just code suggestions. It's also well-suited for tech leads, engineering managers, and DevOps professionals looking to safely adopt agentic workflows at scale. Some experience with version control and command-line tools is recommended, but no prior Codex CLI knowledge is needed.
