Why small prompts ship and big ones stall
One giant prompt for a whole feature feels efficient and almost never works. Here's how to cut a feature into prompts the AI can get right the first time.
Foundations · 2 min read ·
Vibe coding means building software by describing what you want to an AI and iterating from there. You don't need to memorise syntax, pass a coding interview or spend a year in a bootcamp. What you do need is a clear idea, a good prompting process and the ability to read, test and steer AI-generated code. This course teaches all three, from the first tool setup to a real, deployed web app.
Twelve modules follow the order of the build. You set up Cursor, connect to Claude's API and ship a working landing page in the first week. Then comes the real work: how to break a feature into prompts small enough for AI to get right, how to read error messages and ask the AI to fix them, how to add a database with Supabase and an authentication layer without understanding every line. The last modules cover Vercel deployment, a custom domain and the basic debugging loop you'll use on every project after this one.
The course is filmed on one project — a subscription-based tool for freelancers — built and rebuilt from scratch across two takes, so you see every wrong turn and how to recover from it. Some modules take ten minutes, some take an hour; the pace depends on the feature, not a fixed schedule. You finish with a deployed product, a GitHub repo and a repeatable build process you can apply to whatever you want to build next.
Video course · with Alex Chen, indie developer & educator
From your first prompt to a deployed web app, with no prior coding experience
$490
One payment, full access12 modules · 54 lessons · 8 hr 24 min of video
Lessons never expire: watch at your own pace, on any device, and come back to them whenever your next project needs them.
Alex Chen
Indie developer & educator
Built and shipped over 30 projects using AI tools in the last two years. Teaches vibe coding to non-technical founders and career changers.
One giant prompt for a whole feature feels efficient and almost never works. Here's how to cut a feature into prompts the AI can get right the first time.
Foundations · 2 min read ·
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