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    Vibe Coding: AI-Driven Software Development and Testing

    Posted By: Sigha
    Vibe Coding: AI-Driven Software Development and Testing

    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

    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


    Vibe Coding: AI-Driven Software Development and Testing


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