ApplyAI
AI Full-Stack e Tshimuluxo

Ku tswa e Xitlhakelo xo le henhla ku ya e App Store, na AI

Hlanganisa tshimuluxo wa monorepo wa nkarhi wo faka ni xiyimo xa ku rhumela ma-app a webu na iOS hi ku tlula ku tlula na AI.

  • Tshimuluxo wa monorepo wa nkarhi wo faka — endla product yo rhumela ni ku rhangela
  • Webu ya full-stack: routing, i18n, ntlawa ya data ya tRPC ni ku rhumela Cloudflare
  • iOS hi ku tlula ku tlula: ku tswa e pipeline ya OpenSpec ku ya e ku rhumela App Store
Yima ku rhangelaVonani curriculum

Xiboho xa course

4

Modules

26

Lesoni

8h

Loko lona

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

Tlha idea ku ya e ma-product yo rhumela hi ku tlula ku tlula na AI.

Frontend engineers

ZXQITEM52QXngi fill in backend, ku rhumela ni ku rhumela iOS hi ku tlula ku tlula.

Founders

Kuma loop ku tswa e prototype ku ya e launch na timbambu ta nkarhi wo faka.

AI tooling enthusiasts

Veka coding ya AI e tshimuluxo wa production wa nkarhi wo faka.

Le swi nga ri na swi swi rhangelaka

Kuma ku rhumela ma-product a full-stack na iOS ya production na AI wena u yini.

Endla ma-app a Next.js + Cloudflare a full-stack na AI wena u yini
Hlanganisa ntlawa ya data yo teka hi ku tlula ku tlula na tRPC
Hlawulela ma-Xitsonga ya UI ni metadata ya App Store Connect na LocalizationKit
Tlha ma-app ya iOS ku tswa e ku endliwa ni ku siya ku ya e TestFlight ni ku rhumela

Curriculum

Ku tswa e ku seta tshimuluxo ku ya e ku rhumela, ku hlulelwa module hi module.

Modules ya 4 · Lesoni za 26

1

前端篇 · 用 AI 搭起全栈工作流

monorepo 架构、新增路由、三语国际化、设计系统、tRPC 数据层与 Cloudflare 部署。

2

iOS 生成篇 · 从一句话到 App Store

OpenSpec 九节点流水线、LocalizationKit、ASC 元数据、截图素材、签名到 TestFlight 与自动提交审核。

3

报错排查篇 · 把坑变成清单

上架与前端交付里最常见的报错：现象、根因、修复与预防。

4

营销篇 · 把课程卖出去

定位、定价、内容漏斗、渠道打法、发售 SOP 与口碑复购，附一份可执行落地方案。

Khetha plan ya wena

Rhandza xikarhi, ku tsandzuka e ka nkarhi.

Xihloko xi hlamukela ku tsandzuka kwema content.

FAQ

Ndzi fanela nkarhi wa programming?

Nkarhi wa frontend ni command-line lowu faka ni — course yi ku pfuna e backend, ku rhumela ni ku rhumela iOS na AI.

Hi ku tihi course yi hlamukela?

Webu ya full-stack (monorepo, routing, i18n, tRPC, Cloudflare) ni ku rhumela iOS (pipeline ya OpenSpec, LocalizationKit, metadata ya ASC, TestFlight).

Hi ku tihi tools yi tirhisa?

Tools za coding za AI tano ka Claude Code, ziendlelwe e tshimuluxo wa monorepo wa nkarhi wo faka.

Wena u yini ku rhumela ma-product ya nkarhi wo faka na AI?

Hlanganisa ni ku tswa e ku yini ku ya e launch na tshimuluxo wo tlula ku tlula.

Yima ku rhangela