Vibe Coding Apps using OpenAI Codex
Last updated 1/2026
Duration: 2h 34m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 2.34 GB
Genre: eLearning | Language: English
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.
This course is practical, workflow-driven, and focused on real development scenarios - exactly how modern developers are starting to build software in 2026 and beyondwith 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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