Testing AI Code From ChatGPT Or Replit AI (Vibe Coding)

What you'll learn

Understand how AI coding assistants make mistakes (and why)
Write better, and more bug-free software
Spend less time debugging by anticipating potential pitfalls
Become more proficient with vibe coding and AI coding assistants like Replit, Lovable, or Base 44
Launch better products
Decrease your frustration when dealing with AI, and ensure more correct outputs
Learn about AI errors like AI confabulation, AI temporal drift, AI knowledge cutoff problem, AI stale knowledge.

Requirements

There are no prerequisites for this course, just a love for learning, and an open mind.

Description

AI coding tools can dramatically speed up development, but they also introduce hidden bugs, incorrect assumptions, and risky code that can break your application if not properly tested.
In this course, you'll learn how tosystematically test, debug, and validate AI-generated code so you can use tools like ChatGPT, GitHub Copilot, and Replit AI with confidence.
Instead of blindly trusting AI outputs, you'll develop a professional workflow for catching errors early, verifying assumptions, and preventing costly mistakes.
What you'll learn
- How AI coding assistants make mistakes (and why)
- How to detect hallucinated APIs, outdated code, and wrong assumptions
- A step-by-step workflow for debugging AI-generated code
- How to test AI code using unit tests, integration tests, and manual validation
- How to write better prompts to reduce errors upfront
- How to safely refactor and improve AI-generated code
- Common AI coding pitfalls across frontend, backend, APIs, and databases
- How to verify AI outputs before deploying to production

Who this course is for

Enginners
Vibe coders
Entrepreneurs who are building things with AI

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