Lilly Tech Systems
Learn OpenAI Codex
Master OpenAI's cloud-based AI coding agent. Learn to create tasks, configure your repository, and let Codex autonomously write code, run tests, and create pull requests — all for free.
What You'll Learn
By the end of this course, you'll know how to effectively delegate coding tasks to OpenAI Codex and manage AI-generated pull requests.
Autonomous Coding
Understand how Codex reads your repo, creates a sandbox, writes code, runs tests, and delivers pull requests without intervention.
Task Creation
Write effective task descriptions that give Codex all the context it needs to produce high-quality, test-passing code changes.
Workflows
Master workflows for bug fixes, feature implementation, test writing, refactoring, documentation, and multi-file changes.
Best Practices
Set up your repository for optimal results, configure AGENTS.md, manage costs, and scale AI-assisted development.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
What is OpenAI Codex? Learn how this cloud-based coding agent works, what it can do, and how it compares to other AI coding tools.
2. Setup Guide
Connect your GitHub repo, configure AGENTS.md, set up CI/CD, manage permissions, and run your first Codex task.
3. Creating Tasks
Write tasks via chat or GitHub issues, monitor progress, review generated code, and provide effective feedback.
4. Workflows
Practical workflows for bug fixing, features, tests, refactoring, documentation, parallel tasks, and CI/CD integration.
5. Best Practices
Effective task writing, repo optimization, security, cost management, scaling strategies, and frequently asked questions.
Prerequisites
What you need before starting this course.
- A ChatGPT Pro, Team, or Enterprise subscription
- A GitHub account with repositories you want Codex to work on
- Basic familiarity with GitHub, pull requests, and CI/CD
- A repository with existing code and test suite (recommended)