AI Full-Stack na Practice

Kozongisa na Prompt moko, kati na App Store, na AI

Yamba workflow ya monorepo ya nyama mpe tolendima kotonga full-stack web mpe iOS apps end to end na AI.

  • Real monorepo workflow — tonga shippable product kasi olanda
  • Full-stack web: routing, i18n, data layer ya tRPC mpe deployment ya Cloudflare
  • iOS end to end: kati na pipeline ya OpenSpec kati na submission ya App Store

Overview ya course

4

Modules

26

Lessons

8h

Total length

1前端篇 · 用 AI 搭起全栈工作流
2iOS 生成篇 · 从一句话到 App Store
3报错排查篇 · 把坑变成清单
4营销篇 · 把课程卖出去

Indie developers

Tonga ideas kati na shippable products kasi na AI.

Frontend engineers

Fill backend, deployment mpe iOS release end to end.

Founders

Close loop kati na prototype kati na launch na tiny team.

AI tooling enthusiasts

ZXQITEM56QXJ Put AI coding na real production workflow.

Olinga kolanda nini?

Enda oyo ozali na bokonzi ya kotonga production full-stack mpe iOS products na AI na yo moko.

Tongo full-stack Next.js + Cloudflare apps na AI na yo moko
ZXQITEM23QXJ Tanga data layer ya type-safe front-to-back na tRPC
Bimba multilingual UI mpe metadata ya App Store Connect na LocalizationKit
Tika iOS app kati na build mpe signing kati na TestFlight mpe release

Curriculum

Kotala na setup ya workflow kati na shipping, etalaki module na module.

Modules ya 4 · Lessons ya 26

Sɛlɛ plan na yo

Bokola moko, emelaka na time.

Price ezali na future content updates.

FAQ

Olinga na background ya programming?

Basic frontend mpe command-line experience ekozala solo — course elingisaka yo backend, deployment mpe iOS release na AI.

Nani course elingisaka?

Full-stack web (monorepo, routing, i18n, tRPC, Cloudflare) mpe iOS release (pipeline ya OpenSpec, LocalizationKit, ASC metadata, TestFlight).

Nani tools ezali koyangana?

Tools ya coding ya AI mpe Claude Code, eyangami na real monorepo workflow.

Olinga kotonga real products na AI?

Simbula mpe yamba kati na zero kati na launch na workflow ya full.

Simbula