Getting Started

Vibe coding is using AI tools (like ChatGPT, Cursor, or Copilot) to generate code without understanding what the code does. You describe what you want, AI writes it, and you paste it in. It works — until it doesn't. When something breaks, you're stuck because you never learned the fundamentals. Beyond Vibe Code is designed for people who want to move past this stage.

If you've been vibe coding, you already have some exposure to code — that's enough. The Foundation track starts from scratch, but it moves faster than a typical beginner course because you've already seen what code looks like. If you're a complete beginner with zero exposure, you can still start, but expect to spend more time on the first few modules.

Bootcamps optimize for a compressed job-search timeline, which often means more emphasis on framework workflows and less time on fundamentals. Beyond Vibe Code spends more of that time on computer science concepts, systems thinking, debugging, and engineering practice. The current product is text-first, interactive, and project-based rather than centered on lecture video.

The published catalog currently includes about 93.2 hours of lesson material. If you budget a similar amount of time for exercises, projects, and review, the full curriculum lands around 18-19 weeks at 10 hours per week. Foundation + Web Engineering alone are roughly 10-11 weeks on the same assumption.

We bias the core learning flow toward reading, animation, worked examples, and hands-on practice because we want you actively tracing code and making decisions. Video can be useful for demos, but we do not want the primary experience to be passive consumption.

Primarily JavaScript and TypeScript, since they're the most versatile languages for web development and the ones most vibe coders are already generating. But the Foundation track teaches language-agnostic concepts — data structures, algorithms, and computational thinking that apply to any language.

Yes, but strategically. Early modules restrict AI use so you build fundamentals. Later modules teach you how to use AI tools effectively as an engineer — understanding what the AI generates, evaluating its output, and knowing when it's wrong. The goal isn't to stop using AI. It's to use it as a tool, not a crutch.

Full access to all 35 modules across 5 tracks, all interactive exercises and projects, progress tracking, and the capstone project. There's also an annual option at $250/year ($20.83/month) if you prefer to save. No hidden fees, no upsells.