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Vibe Coding Apps using OpenAI Codex + Quiz Questions
Rating: 3.8 out of 5(6 ratings)
2,115 students

Vibe Coding Apps using OpenAI Codex + Quiz Questions

Build real-world apps faster using OpenAI Codex as your AI pair programmer, code reviewer, and development assistant
Created bySandeep Soni
Last updated 1/2026
English

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

Course content

6 sections • 7 lectures • 2h 33m total length

  • Introduction to Codex14:12
  • Quiz

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 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

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.

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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