Claude Code & Next.js 16: Build Multi-Vendor E-Commerce

Most AI coding courses show you a flashy twenty-minute demo. Then you try to build something real, and it collapses the login is wide open, the checkout loses an order, and you're staring at thousands of lines of code you don't understand.

This course does the opposite. Together we build Covet, a complete multi-vendor e-commerce marketplace many independent sellers, one storefront, one checkout using Claude Code and a repeatable professional method you'll own for life.

What Makes This Different

There's a version of "vibe coding" that builds toys, and a version that builds products. This course teaches the second one.

Security firm Veracode tested over a hundred AI models on real coding tasks and found that 45% of AI-generated code shipped with a known security vulnerability and when they re-ran it with newer, more powerful models, the number hadn't improved. Speed without engineering isn't a superpower. It's a liability.

So we don't just prompt. We follow a method on every single feature:

Design → Spec → Build → Test → Secure → Deploy

We design before we prompt, so the AI knows exactly what to make. We write specifications instead of vibes. We stay the architect the whole way through reviewing, testing, and understanding every part of what we ship.

What You'll Actually Build

This is not a to-do app with a payment button bolted on. Covet is a real marketplace:

• A complete storefront — home page with live flash deals, category browsing across a three-level category tree, product detail pages with image galleries and variant selection, seller storefronts, search, filtering, and a persistent cart

• Multi-role authentication — customer, seller, and admin, each with their own registration, login, dashboard, and route protection, built with NextAuth v5 and bcrypt

• A full seller dashboard — product management with variants and inventory, order fulfillment, coupon creation, earnings, sales reports, and store profile settings

• A full admin dashboard — seller approval workflows, product moderation, category and brand management, platform-wide order oversight, review moderation, customer management, and commission reporting

• A customer dashboard — order history, order tracking, wishlist, reviews, addresses, and profile management

• Real checkout and payments — a three-step checkout that splits one order into per-seller sub-orders, applies vendor-scoped coupon validation, and takes payment through Stripe with secure webhook confirmation

• A live chat system — customers and sellers messaging each other, with image support and persistent conversation history

• A verified-review system — customers can only review what they actually bought, and admins moderate before anything goes live

The Engineering You Won't Get Elsewhere

This is where the course earns its name:

• Learn why all money is stored as Decimal, never a float, and what breaks when it isn't

• Enforce multi-tenant data isolation so one seller can never read another seller's orders

• Recalculate every price server-side so a tampered cart can't change what a customer is charged

• Confirm payment only through a signed Stripe webhook, never the browser's word for it

• Write idempotent webhook handlers that don't double-charge inventory on a retry

• Keep sensitive documents out of your public folder — and understand why that matters

• Build a CLAUDE md rules file so the AI inherits your standards on every task, in every session

Your Next Step

By the end, you won't just have an impressive project for your portfolio. You'll have a method a way of working with AI that you can point at any idea, any client, any startup, and build something that actually holds up in the real world.

That's the difference. Not faster demos. Real software.

Enroll now and let's build it together.