
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.
Explore architectural decisions that speed up application development using ai, covering software architecture basics, modular monoliths, vertical architecture, conventions, and starting ai-driven development.
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.