Free Download Vibe Coding Apps using OpenAI Codex
Published 1/2026
Created by Sandeep Soni
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 7 Lectures ( 2h 33m ) | Size: 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 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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