Vibe Coding: AI-Driven Software Development and Testing

Name: Vibe Coding: AI-Driven Software Development and Testing
Rating: 4.5 (2790 reviews)

Leverage tools such as Cursor, Windsurf, GitHub Copilot or Lovable to build applications using plain English

Bestseller

Created byValentin Despa, Valentin Despa - Support

Last updated 9/2025

English

What you'll learn

Build applications from scratch using AI agents
Turn an app idea into a working prototype
AI-guided debugging & code refinement
Version control & maintainable project structuring
Write tests to check that the app does what it’s supposed to

Course content

5 sections • 55 lectures • 3h 47m total length

Introduction to Vibe Coding6:19
AI-powered coding tools5:58
Installing software (Cursor, Node.js, Git)5:23
Hands-on example of vibe coding (with Cursor)5:40
Understanding that LLMs are non-deterministic3:19
Model selection1:49
Explore auto model selection in cursor and manual options for cloud 3.7 sonnet and Gemini 2.5 Pro. Assess when thinking models improve results for complex problems versus quick prototyping.
Auto-run mode (letting the agent run commands)2:39
Traditional vs Vibe coding workflow4:13
Choosing a tech stack5:04

Project overview2:26
Build and deploy a flashcards web app using an AI-powered cursor IDE. Learn step-by-step development, write specifications, test frequently, and use git for versioning in an iterative, plan-first workflow.
Writing a software specification5:59
Creating a TODO list2:48
Building the first feature9:14
Configuring Version Control (Git)3:40
Iterating with new features3:02
Adding automated tests5:21
Rolling back to a working version4:00
Rules for controlling the AI behavior6:46
Code refactoring6:20
Providing context by referencing resources1:49
Model Context Protocol (MCP)2:39
GitHub integration3:09
Adding the GitHub MCP server4:56
Taking actions using GitHub MCP3:20
Deployment5:53
Restarting a chat session1:41
Cursor pricing3:00

Project overview - Building apps with Lovable3:18
First Lovable project5:45
Creating the Product Requirements Document (PRD)7:05
Adding Instructions & Guidelines4:55
Supabase integration4:09
Storing data in the database4:12
Learn how to store data in a Supabase database by creating cards and columns tables, applying sql commands, and validating data persistence in the app.
Troubleshooting errors10:03
Adding functionality & refactoring code2:55
GitHub integration3:41
Deploying the application2:11
Resolving Supabase security issues1:39
Domains & External hosting options2:16
Additional integrations1:24
Conclusion3:36

Installing and configuring Windsurf2:01
First project with Windsurf8:20
Discover windsurf's AI-driven cascade workflow, using the VSCode-based interface, write mode, and model choices like Gemini 2.5 Pro to start a project and troubleshoot directory creation.
Analyzing an existing code base5:34
Implementing features4:52
Initialize the windsurf project, install dependencies, and run the dev server to test to-do features and card deletion. Troubleshoot with console logs and browser console insights to verify deletion.
Windsurf Previews1:58
Windsurf settings3:10
Windsurf rules5:16
Explore windsurf rules and configure global and workspace rules to tailor AI behavior, including activation modes and comment rules, stored in the windsurf rules directory.
Cascade plugins (MCP integration)3:11
GitHub integration2:00
Windsurf workflows3:30
Deploying the application (Deploys feature)3:15
Pricing4:09
Conclusion1:48

Requirements

A computer running Windows, macOS, or Linux and the ability to install software
Sign-up for free trails / free accounts to use the software downloaded
Node.js LTS & Git
No prior coding experience required—just curiosity and willingness to learn!

Description

In this hands-on course, you’ll discover how to shift from traditional line-by-line programming to a “vibe coding” approach, where natural-language prompts drive AI agents to write, test, and deploy your applications. Inspired by Andrej Karpathy’s vision, vibe coding lets you focus on guiding and refining AI output, rather than wrestling with every detail of syntax. You’ll watch AI tools like Cursor and Windsurf create files, install dependencies, and execute commands—all from simple English instructions.

What this course covers

Introduction to the “vibe coding” mindset and its origins
Overview of leading AI-powered coding tools (Cursor, Windsurf, Lovable, GitHub Copilot)
Hands-on projects
Best practices for vibe coding
Core software development practices adapted for AI workflows

Who this course is for

Complete beginners curious about building apps without writing every line of code
Developers eager to speed up prototyping and learn to guide AI output
Anyone who wants to understand how AI changes the software development life cycle

Key skills you’ll gain

Natural-language prompting: describe app ideas in plain English and turn them into working code
AI-guided debugging: identify, troubleshoot, and refine AI-generated code
Project organization: structure files and folders for clarity and maintainability
Version control with Git: track changes, manage branches, and roll back safely
Automated testing: write simple tests to verify functionality
Deployment automation: configure one-command or CI/CD pipelines to launch your app

Legal Disclaimer

This course is an independent educational resource and is not endorsed by, affiliated with, or associated with any of the tools and software presented in the course.

This course contains promotional materials.

Who this course is for:

Beginner and experienced software developers
Test engineers / Quality Assurance
DevOps engineers
Designers / UI / UX
Entrepreneurs

Vibe Coding: AI-Driven Software Development and Testing

What you'll learn

Explore related topics

Course content

Introduction9 lectures • 40min

Vibe coding fundamentals (with Cursor)18 lectures • 1hr 16min

Building applications with Lovable (No code / low-code)14 lectures • 57min

Working on existing code bases (with Windsurf)13 lectures • 49min

Conclusion1 lecture • 4min

Requirements

Description

Who this course is for: