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Updated 27 Aug

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Mastering OpenAI Codex for Agentic Coding

Name: Mastering OpenAI Codex for Agentic Coding
Price: 59 USD
Rating: 4.52 (54 reviews)
Author: Educative

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.

4.5

11 lessons

Created by Educative

Mastering OpenAI Codex for Agentic Coding

What's included

11 lessons across 5 modules
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

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

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.

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Anthony Walker

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ML Engineer

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