Build Real Software by Prompting, Not Memorizing Syntax
Vibe Coding is the practice of building functional apps through natural-language prompts to AI tools — describing what you want and iterating on the output rather than writing every line by hand. It is not a shortcut past understanding; it is a different workflow that has become genuinely productive for solo builders, designers, and developers who want to ship faster. This track covers the full cycle: from choosing the right AI coding tool to deploying, paying-tier-gating, and monitoring a production app — grounded in JavaScript and the real AI-assisted toolchain used today.
What You Will Learn
You will learn how to prompt effectively for code generation, not just for conversation — including prompt engineering techniques specific to building software. The track covers reading and reviewing AI-generated code so you understand what you are shipping, debugging with AI assistance, connecting third-party APIs, adding a database, and implementing authentication entirely by prompt. Later courses address full-stack app construction, AI agents and automations, adding payments and subscriptions, and the operational side: deploying your app, writing tests for AI-built code, and setting up scaling and monitoring. You will also cover where vibe coding breaks down and how to apply best practices that keep AI-assisted projects maintainable.
The Learning Path
Twenty-five courses span A1 through C1. The first three A1 courses establish what vibe coding is and survey the current AI coding toolkit — Cursor, Copilot, Replit AI, and similar tools. A2 courses move immediately into building: a landing page by prompt, converting an idea into a plan, and prompting basics. The B1 block is the core practical layer — eight courses covering prompt engineering for code, reading AI output, debugging, files and APIs, Git, UI design by prompt, databases, and third-party API integration. B2 escalates to authentication, full-stack apps, AI agents, deployment, and payments. The five C1 courses at the end — Productionizing AI Code, Vibe Coding for Real Products, Testing and Hardening AI-Built Apps, Scaling and Monitoring Your Vibe-Coded App, and Limits & Best Practices — address what it takes to keep an AI-built codebase running reliably in production.
How It Works
Each course is split into short, focused lessons you complete in the built-in editor with real-time feedback. An AI tutor is available when you get stuck, and exercises are designed around real tasks — writing a prompt, reading output, fixing a bug, wiring an API — so every session produces something concrete rather than abstract theory.