Vibe Coding: AI-Driven Software Development and Testing
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.12 GB | Duration: 3h 46m
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.12 GB | Duration: 3h 46m
Leverage tools such as Cursor, Windsurf, GitHub Copilot or Lovable to build applications using plain 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
Requirements
A computer running Windows, macOS, or Linux and the ability to install software
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 coversIntroduction to the “vibe coding” mindset and its originsOverview of leading AI-powered coding tools (Cursor, Windsurf, Lovable, GitHub Copilot)Hands-on projectsBest practices for vibe codingCore software development practices adapted for AI workflowsWho this course is forComplete beginners curious about building apps without writing every line of codeDevelopers eager to speed up prototyping and learn to guide AI outputAnyone who wants to understand how AI changes the software development life cycleKey skills you’ll gainNatural-language prompting: describe app ideas in plain English and turn them into working codeAI-guided debugging: identify, troubleshoot, and refine AI-generated codeProject organization: structure files and folders for clarity and maintainabilityVersion control with Git: track changes, manage branches, and roll back safelyAutomated testing: write simple tests to verify functionalityDeployment automation: configure one-command or CI/CD pipelines to launch your app
Who this course is for:
Beginner and experienced software developers, Test engineers / Quality Assurance, DevOps engineers, Designers / UI / UX, Entrepreneurs