OpenAI Codex Automation: Build AI Workflows & CLI Tools

About this course

“This course contains the use of artificial intelligence.”

Stop using Codex as a one-off coding assistant. Build repeatable engineering workflows that save time, improve consistency, and keep humans in control.

Who this course is for

Developers who want to automate repetitive GitHub and repository workflowsQA engineers who need consistent test-failure investigation and verification

DevOps engineers building safer maintenance and code-health routines

Technical freelancers who want reusable delivery systems for clients

Engineering leads who want team-ready Codex skills and plugins

What you will learn

Build a pull-request review workflow with clear review criteria

Create recurring code-health and documentation checks

Define safe automation scope, approval gates, and stop conditions

Use Codex CLI for local, repeatable engineering tasks

Turn a successful prompt into a reusable Codex skill

Write workflow inputs, constraints, verification requirements, and output formats

Build a test-failure triage workflow that produces evidence-based recommendations

Package skills into a versioned Codex plugin

Understand when to use skills, plugins, and MCP-connected tooling

Create a portfolio-ready Codex automation system for clients or employers

Requirements

Basic Git and GitHub knowledge

Ability to open a terminal and navigate a project folder

Familiarity with pull requests and software testing

Access to a Codex-supported plan or environmentA small practice repository, ideally with tests

Final project

You will build and document a Codex Engineering Automation System containing four

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