HomeCoursesMastering OpenAI Codex for Agentic Coding

AI-powered learning

Trending

Save

Mastering OpenAI Codex for Agentic Coding

Learn to build and deploy software with OpenAI Codex through agentic workflows, AGENTS.md, Skills, MCP, and GitHub integration, and apply them in a Flask project.

11 Lessons

Updated yesterday

Join 2.9 million developers at

LEARNING OBJECTIVES

An understanding of how OpenAI Codex works as an agentic coding platform
Hands-on experience configuring the Codex CLI and IDE extension for repository-based workflows
The ability to write effective AGENTS.md files for project conventions, testing, and task guidance
Familiarity with Skills, Automations, and MCP-based integrations in Codex workflows
The ability to use Codex in GitHub-based development and review workflows
Hands-on experience building a Flask application by delegating scoped tasks through prompts

Why choose this course?

An Agent That Reads, Plans, and Executes

OpenAI Codex reads the repository, plans the implementation, writes the code, runs the tests, and reports the result. Every action runs inside a sandbox, keeping changes isolated until you review them.

Teaching Codex Your Codebase with AGENTS.md

AGENTS.md is a Markdown file that Codex reads before every task. It captures test commands, project conventions, and review guidelines so you never need to repeat the same context in each prompt.

Connecting Codex to the Tools You Already Use

With Model Context Protocol, Codex can reach beyond the local repository. Configure an MCP server and it can read GitHub issues, query live documentation, inspect Figma designs, or pull error logs from Sentry as part of any task.

From a Blank Folder to a Shipped Application

This course includes a hands-on project: a Flask pixel art canvas app built entirely through Codex prompts. Four tasks take the app from an empty folder to a working gallery with drawing, saving, and PNG export.

Learning Roadmap

11 Lessons

Getting Started with Codex

Explore OpenAI Codex’s capabilities and setup for enhanced coding collaboration.

What Is OpenAI Codex?

Setting Up Codex: CLI, Desktop App, and IDE Extension

Customizing and Extending Codex

Enhance Codex’s capabilities with structured instructions, automation, and external tool integration.

AGENTS.md: Teaching Codex Your Codebase

Skills, Plugins, and Automations

MCP: Connecting Codex to External Tools

Codex in Team Workflow

2 Lessons

Enhance development efficiency through parallel tasks and Codex integration in GitHub workflows.

Building a Pixel Art Canvas with Codex

3 Lessons

Create a pixel art canvas app using Flask and SQLite with Codex for seamless functionality.

Wrap Up

Embrace transformative software writing with Codex for enhanced automation and efficiency.

What to Learn Next

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

OpenAI Codex is a coding agent that can read a repository, follow project instructions, run commands, and complete software tasks in a controlled environment. It is useful for developers who want to move beyond code suggestions and use a more agentic workflow for building, testing, and reviewing software. In this course, you’ll explore how Codex works and how to configure the CLI and IDE extension for practical use. You’ll learn how to write effective AGENTS.md files and use Skills, Automations, and MCP servers to extend Codex with reusable workflows and external tools. You’ll then apply these concepts in a project by building a Flask-based pixel art canvas application through a series of structured tasks, including application scaffolding, drawing and saving functionality, a gallery page, and PNG export. By the end of the course, you’ll be able to set up a reliable Codex workflow, delegate multi-step development tasks with confidence, and connect Codex to external tools and services. This course also covers how to use Codex in GitHub-based workflows to build and deploy software more efficiently.

Trusted by 2.9 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer