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

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 to systematically 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costly mistakes.What you’ll learn:How AI coding assistants make mistakes (and why)How to detect hallucinated APIs, outdated code, and wrong assumptionsA step-by-step workflow for debugging AI-generated codeHow to test AI code using unit tests, integration tests, and manual validationHow to write better prompts to reduce errors upfrontHow to safely refactor and improve AI-generated codeCommon AI coding pitfalls across frontend, backend, APIs, and databasesHow to verify AI outputs before deploying to productionWho this course is for:Developers using AI coding tools like ChatGPT, Copilot, or ReplitBeginners learning to code with AI assistanceProfessionals who want to avoid bugs and production issuesAnyone using “vibe coding” workflows and wants to make them reliableWhy this course matters:AI is a powerful coding assistant, but it’s not always correct.The difference between amateur and professional use of AI tools is verification and testing.By the end of this course, you’ll know how to:Trust AI when appropriateQuestion it when necessaryAnd catch errors before they cost you time, money, or reputation