Vibe Coding Apps using OpenAI Codex

Vibe Coding Apps using OpenAI Codex
Last updated 1/2026
Duration: 2h 34m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 2.34 GB

Build real-world apps faster using OpenAI Codex as your AI pair programmer, code reviewer, and development assistant

What you’ll learn
– Understand the correct mental model of OpenAI Codex
– Difference between Codex and normal ChatGPT for coding
– How Codex reasons across multiple files and repositories
– Using Codex as an AI pair programmer and reviewer
– Writing senior-level prompts with roles, constraints, and goals
– Implementing features safely without breaking existing code
– Generating clean unit and integration tests
– Using Codex for refactoring legacy code step-by-step
– Managing context effectively to prevent AI confusion
– Using Codex in Git-based workflows (branches, diffs, PRs)
– Avoiding common AI coding mistakes developers make
– Turning AI into a quality gate instead of a code spammer

Requirements
– Basic understanding of programming concepts
– Familiarity with any one language (JavaScript, Python, C#, etc.)
– Basic idea of Git and code files (helpful but not mandatory)
– No advanced AI or machine learning knowledge required
– No prior experience with OpenAI Codex needed

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

In this course, you’ll learn how to build applications usingOpenAI 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 forreal 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

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’llthink like an engineer who collaborates with AI effectively.

Who this course is for:
– Developers who want to code faster without losing quality
– Beginners who want to learn modern AI-assisted development
– Working professionals tired of copy-paste AI coding
– Backend or full-stack developers exploring AI workflows
– Engineers working with legacy codebases
– Developers who want to use AI safely in production projects
– Anyone curious about “vibecoding” done the right way
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