Getting Started
New to Beyond Vibe Code? Here are the most common questions from people making the leap from vibe coding to real software engineering.
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 getting you a job in 12-16 weeks, which means they rush through fundamentals and focus on frameworks. Beyond Vibe Code goes deeper on the 'why' — computer science concepts, systems thinking, and engineering practices — so you're not just employable, you're actually competent. We also have no video content: everything is project-based, interactive, and text-driven.
At 10 hours per week, expect 50-70 weeks to complete all 5 tracks. But you don't need to finish everything. The Foundation and Web Engineering tracks alone (26-34 weeks) will make you job-ready for junior developer positions. The Systems and Professional Engineering tracks push you toward mid-level.
Research shows that passive video watching creates an illusion of learning without actual retention. Our platform uses interactive exercises, animated visualizations, and hands-on projects — methods proven by learning science to build lasting understanding. You learn by doing, not by watching someone else do.
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.