Vibecoding is not about copying AI-generated code — it’s about working with AI the same way real engineering teams work.

In this course, you’ll learn how to build applications using OpenAI Codex as a true AI pair programmer, not as a random code generator. You’ll understand how Codex thinks,

how it maintains context, and how to control it like a disciplined junior-to-mid level engineer inside your development workflow.

Unlike traditional ChatGPT usage, Codex is designed for real software development — it understands repositories, multi-file projects, diffs, constraints, tests, and Git-based workflows. This course teaches you how to use that power correctly.

You’ll learn in this course how to:

• Implement features step-by-step

• Refactor legacy code safely

• Generate meaningful tests

• Perform AI-assisted code reviews

• Maintain clean architecture and boundaries

• Avoid context loss and hallucinated logic

Implement features step-by-step

Refactor legacy code safely

Generate meaningful tests

Perform AI-assisted code reviews

Maintain clean architecture and boundaries

Avoid context loss and hallucinated logic

You’ll also master advanced prompting techniques used by professional developers — defining roles, constraints, ownership, deliverables, and commit-by-commit workflows.

By the end of this course, you won’t just “use AI for coding.”
You’ll think like an engineer who collaborates with AI effectively.

This course is practical, workflow-driven, and focused on real development scenarios — exactly how modern developers are starting to build software in 2026 and beyond with confidence and realtime exposure.