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OpenAI Codex 101: From Idea to Deployed App

OpenAI Codex 101: From Idea to Deployed App

1h 6mBeginner2026-03-31

Authors

Kesha Williams

Kesha Williams

Software Engineering Manager, Speaker, Tech Blogger

Course details

OpenAI Codex is a key piece of infrastructure with a growing user base in an AI coding world that is rapidly expanding. Codex lets users direct the creation of agents and applications while still allowing ready access to internal details that can make or break real-world effectiveness. This course walks you through the workflows not just to create but also to refine, repair, deploy, and monitor your projects.

Learning objectives
Break down an idea into clear, well-scoped tasks for an AI coding agent by defining goals, constraints, and persistent context to support reliable code generation.
Review and assess AI‑generated code to understand its intent, verify correctness, and determine whether it is safe to use or requires revision.
Confidently iterate on an AI‑built application by adding features and refining behavior without breaking existing functionality.
Identify, diagnose, and recover from failures in AI‑generated output using structured recovery and rollback techniques.
Deploy and maintain a working application prototype by integrating external services and monitoring behavior after release.

Concepts

Introduction

  • Ship an app with Codex

Starting Your First Codex Project

  • Set up your Codex environment
  • Create your first AGENTS.md file
  • Write your first task

Building Your First App

  • Review and evaluate the output
  • Deploy your app to a live URL
  • Iterate and add features

Extending and Improving

  • Add live data to your app
  • Extend Codex with MCP
  • Teach Codex reusable skills
  • Package a Codex plugin

Fixing What Goes Wrong

  • Debug and fix errors
  • Set up monitoring for your app

Keeping the Momentum

  • Your turn - Build, deploy, and share

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