ApplyAI
AI Isebenza Okuphelele Kwamasistimu

Kusuka kwisicelo esisodwa kuya ku-App Store, no-AI

Landela umsebenzi wangempela we-monorepo futhi ufunde ukukhipha izinhlelo ze-web ne-iOS ezisebenzayo ngokuphelele usebenzisa i-AI.

  • Umsebenzi wangempela we-monorepo — yakha umkhiqizo onokukhishwa njengoba ufunda
  • Iwebhu ye-full-stack: ukuhamba, i-i18n, inqubo yedatha ye-tRPC kanye nokubekwa ku-Cloudflare
  • ZXQITEM48QX4 I-iOS end to end: kusuka ku-inqubo ye-OpenSpec kuya ekufakeni ku-App Store
Qala ukufundaBona uhlelo lwesifundo

Ukwazi isifundo

4

Imodi

26

Izifundo

8h

Ubude obuphelele

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

Abaphenduli abazimele

Guqula imibono ibe yimikhiqizo enokukhishwa ngokushesha nge-AI.

Ochwepheshe be-frontend

Gcwalisa i-backend, ukubekwa, kanye nokukhishwa kwe-iOS end to end.

Abasunguli

Vala umjikelezo kusuka ku-prototype kuya ekukhishweni ngenhlanganisela encane.

Abathanda izinsiza ze-AI

Faka ukubhala kwe-AI emsebenzini wangempela wokukhiqiza.

Okuzofundwa

Phetha ulungele ukuletha imikhiqizo ye-full-stack ne-iOS enomphumela othembekile usebenzisa i-AI wena qobo.

Yakha izinhlelo ze-Next.js + Cloudflare ze-full-stack usebenzisa i-AI wena qobo
Hlanganisa inqubo yedatha ephathekayo kusuka ku-front kuya ku-back usebenzisa i-tRPC
Hlola i-multilingual UI kanye nemetadata ye-App Store Connect usebenzisa i-LocalizationKit
Thatha inhlelo ye-iOS kusuka ekwakhiweni nokusayinwa kuya ku-TestFlight nokukhishwa

Uhlelo lwesifundo

Kusuka ekulungiseni umsebenzi kuya ekukhipheni, kuhlukaniswe imodi ngemodi.

Imodi ze-4 · Izifundo ze-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 iphuzu lakho

Thenga okukhona, kuyathuthuka ngokuhamba kwesikhathi.

Inani liqukethe ukuvuselelwa okuzayo kokuhlolwa.

FAQ

Ingidinga ingabe ngaba nesipiliyoni sokubhala amakhodi?

Isipiliyoni esincane se-frontend kanye nomugqa wokusebenzisa (command-line) kuyanele — isifundo siya kukuhola ngokunikeza i-backend, ukubekwa, kanye nokukhishwa kwe-iOS nge-AI.

Yini esiyifaka esifundweni?

Iwebhu ye-full-stack (i-monorepo, ukuhamba, i-i18n, i-tRPC, i-Cloudflare) kanye nokukhishwa kwe-iOS (inqubo ye-OpenSpec, i-LocalizationKit, i-metadata ye-ASC, i-TestFlight).

Izinsiza zisetshenziswa yini?

Izinsiza zokubhala kwe-AI njenge-Claude Code, ezisetshenziselwe umsebenzi wangempela we-monorepo.

Ulungele ukukhipha imikhiqizo yangempela nge-AI?

Xhumana manje usuke ku-zero kuya ekukhishweni ngenqubo ephelele.

Qala