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AI-Powered Software Development: The Vibe Engineering Method
New
Rating: 5.0 out of 5(4 ratings)
27 students

AI-Powered Software Development: The Vibe Engineering Method

Learn how to build real-world applications with AI quickly, securely, and maintainably, without falling into chaos.
Created byFelipe Gavilán
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Use of artificial intelligence to develop applications
  • Transform an idea into an application without writing a single line of code
  • Use AI to evaluate your own work
  • Apply a professional software development workflow using AI

Course content

11 sections81 lectures4h 26m total length
  • Introduction0:51

    Explore the fundamentals of AI-powered software development with the VIVE engineering method, focusing on maintainable, reliable code and best practices to maximize benefits and avoid pitfalls.

  • Why Use AI For Development?3:50
  • What Could Go Wrong?3:13
  • What Could Go Right?3:18
  • Vibe Coding vs Vibe Engineering3:35
  • Summary1:37

Requirements

  • Although we won't be writing a single line of code in this course, I assume you have some programming knowledge (you know what an application is, what a database is for, among other things).

Description

Artificial intelligence can help you develop software much faster, but it can also lead you to build applications that are difficult to maintain, insecure, or burdened with technical debt if you don't know how to use it properly.

In this course, you'll learn a practical method for working with AI as a true development partner. The goal isn't to delegate all the work to artificial intelligence, but to combine sound engineering judgment with the capabilities of tools like ChatGPT, Codex, Claude, Gemini, and GitHub Copilot to build real-world applications quickly and professionally.

Throughout the course, you'll build a complete web application step by step, applying Vibe Engineering principles: defining an MVP, designing a simple yet maintainable architecture, creating effective prompts that reduce ambiguity, implementing features with the help of AI, reviewing AI-generated code, and incorporating security, observability, and performance optimization.

In addition to learning how to use these tools, you'll develop a workflow that you can immediately apply to your own projects, allowing you to deliver higher-quality software in less time without losing control of your code.

By the end of the course, you'll be able to use AI to accelerate software development responsibly, build solid MVPs, collaborate effectively with AI agents, and turn ideas into applications ready for real users.

Who this course is for:

  • Developers who want to use AI to program professionally
  • People with computer skills who want to create software