Learn to build with AI and finish the product you imagined.

No. You don’t need coding experience or a product already in progress. You’ll learn a process for turning an idea into a plan, preserving the decisions, and giving the AI manageable pieces to build. You’ll also learn the handful of names that let you talk about how software works and read what the AI built. The tools do the typing.

Vibe coding is building software by describing what you want to an AI coding tool and letting it write the code. Andrej Karpathy coined the term in February 2025. It gets a first version working fast, and it falls apart when nobody keeps track of the decisions, the structure, or what “done” means. Vibe Coding Products For Scrappy Founders teaches the process around the AI: plan the build, preserve the decisions, break the work into pieces you can review, and read what the AI wrote before it ships.

Yes, if you run the process and let the AI run the keyboard. The founders who get stuck aren’t short on ideas or tools. They lose decisions between chats, ask for one small change and get a rewrite, and can’t tell whether the AI’s work is right. This course teaches you to keep decisions outside the chat, give each AI session a clear starting point and ending point, and read the result in five minutes.

Eight recorded lessons, plus dozens of downloadable guides your AI reads so it builds the way the course teaches. 1. Tell the AI where new code belongs. 2. Set up the tools the AI needs to work on your system. 3. Break the work into pieces you can review. 4. Use GitHub to review the AI’s work. 5. Name the pattern instead of describing the fix. 6. Test and audit what the AI built. 7. Put a new version live, and roll back if you have to. 8. Rebuild your proof of concept into a product. By the end you can keep decisions outside AI chats, separate planning from execution, and give each AI session a clear start and end.

Alex Standiford, founder of Novatorius, a small software studio that ships code into other people’s businesses. Alex worked at Sandhills Development and GoDaddy before that, and has taught for fifteen years, from photo editing to advanced software development, in talks, workshops, and one-on-one. Founding members get a 30-minute working call with Alex before the first lesson.

$299 for one of 20 founding seats, then $399 when the course opens on Monday, November 2. A founding seat includes the 30-minute call, every lesson as it’s finished, and the full course at launch. Checkout is by card through Stripe. Reply “refund” to your receipt any time before launch and the full amount comes back.

The full course opens Monday, November 2. The lessons are recorded, so you work through them on your own schedule. The one live part is your 30-minute call with Alex, which comes before any lesson. Founding members get each lesson the day it’s finished, so they start weeks before launch.

Dozens of guides, written to be read by your AI rather than by you. They cover the patterns the lessons teach, the order the work goes in, and the checks that catch trouble before it ships, and they are the same ones my own AI agents read before they touch a product. You download them with the course, point your AI at them once, and it stops guessing at how you want things built. That means fewer credits spent circling the same problem, and work that comes back closer to finished.

Any AI coding tool that works inside your project’s files. The examples use Cursor, which is one of those. The process keeps your decisions and context in files you own, so you can bring them to another tool, a newer AI, or another person. The buttons differ between tools. The method doesn’t.

Usually because nothing outside the chat holds the plan. Decisions vanish when the conversation ends, one small change turns into a rewrite, the same problem comes back, and the usage limit runs out mid-fix. The course teaches you to write the plan down first, keep the AI inside pieces small enough to review, define what done looks like before the AI starts, and rebuild from a proof of concept instead of patching it.

Yes. Bring the build and the part of your process that keeps falling apart to the call. The closing lesson, Rebuild your proof of concept into a product, is written for exactly this: treat what you have as a working prototype and rebuild it with the patterns from the earlier lessons. AI rebuilds faster than it patches.

Two. Before launch, reply “refund” to your receipt and the full $299 comes back, no questions, and you keep the call. After the course, if you haven’t seen a big improvement in how you work with AI agents, tell Alex and get your money back.

A bootcamp teaches you to write code. A no-code tool hides the code. This course teaches you to direct an AI that writes real code in a project you own, and to organize, check, and release that code without babysitting every chat. You leave with a product you can keep building, not a template with a ceiling.

No. This is a course where you practice guiding the AI yourself, with a working call to talk through your idea or an existing build. If you want someone to take responsibility for delivering the whole product, that’s a development engagement, and Novatorius does those separately.