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.
