
The code was never the hard part.
You describe a feature, the AI writes it, and it works. Beautiful. You ask for the next one, and somewhere in those two hundred lines it quietly invents a second way to handle authentication. Three features later: three naming conventions, two error patterns, zero tests, and a growing suspicion that you're no longer driving.
The demos always stop at the moment the code appears.
Here's what nobody tells you. The developers getting real leverage out of AI aren't writing better prompts. They're running a process. Plans before code. Docs the AI actually reads. Tests before the pull request. A human on the merge button, every time.
This course teaches that process, then runs it four times on four different stacks, because a workflow that only works on Next.js isn't a workflow, it's a coincidence.
Every app ships. Not to localhost. To a live URL, and in the final project, into the Google Play Store.
== 4 Apps, 4 Stacks, 1 Workflow ==
Linkbase (Nextjs, NextAuth, MongoDB, on Vercel)
Drop a screenshot into Claude Design, watch a design system fall out of it. Then build auth, a handle system, a dashboard, a public profile. This is where the foundations go in: your first CLAUDE md, a docs system that keeps AI output consistent, custom skills, your first hook, AI-driven QA with Playwright MCP, and a preview URL on every pull request.
grep-pdf (FastAPI, React, pgvector, LangChain, on Railway)
Upload an eighty-page PDF. Ask a question. Get an answer with a citation chip that jumps to the exact page it came from. Real RAG, built from nothing: parsing, chunking, embeddings, vector search, streamed cited answers. This is also where you stop doing everything yourself and build a code-reviewer sub agent that reviews your branch in isolation against your own docs
Kicks (MERN, TypeScript, Stripe, on Heroku)
A store that actually takes money. Catalog, per-size stock variants, cart, Stripe and cash on delivery, plus the half most courses skip: a full admin panel behind role-based access. This is the stress test. Zero repetition, parallel plan mode, and QA that levels up to a committed end-to-end suite running in CI.
Spendly AI (React Native CLI, Supabase, on Google Play)
An expense tracker you can talk to. Design it as a clickable prototype first, tap through the navigation before any code exists. Supabase with row-level security enforced at the database. An Edge Function keeps your API key off the user's device. Then ship it: signed AAB, GitHub Actions, Play Console internal testing, human promotion to production.
Four apps. Four stacks. One workflow you'll still be using long after the last lecture. Enroll today.