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OpenAI Codex 완전 강좌 4시간: 빌드 & 배포

Aniket Panjwani · Aniket Panjwani · ·242:18 ·34.5K 조회수
OpenAI Codex 완전 강좌 4시간: 빌드 & 배포

AI MBA Pro 내부 심화 학습 — 주간 라이브 콜, 고급 빌드, Codex로 배포하며 직접 지원 ⤵️ https://www.skool.com/the-ai-mba-pro-4940/about 1700명 이상의 AI 빌더들과 함께 수익 창출, 앱 개발, 한계 돌파

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Go deeper inside The AI MBA Pro — weekly live calls, advanced builds, and direct access as you ship with Codex and Codex ⤵️ https://www.skool.com/the-ai-mba-pro-4940/about Join 1700+ AI builders working to make money, build apps, and push forward their careers with Codex and Codex ⤵️ https://www.skool.com/the-ai-mba I use Wispr Flow daily to dictate faster and think more clearly while building ⤵️ https://ref.wisprflow.ai/aniket-panjwani Summary ⤵️ This is a complete practical course on using the OpenAI Codex Desktop app. I walk through what Codex is, pricing and installation, the Desktop interface, context windows, voice workflows, permissions, AGENTS.md, plugins, computer use, skills, MCPs, subagents, Git/GitHub, cloud delegation, GitHub issues, automations, worktrees, and a live Creator Carousel Studio build using Next.js, Convex, and Vercel. Links 🚀 OpenAI Codex docs: https://developers.openai.com/codex Codex Desktop app docs: https://developers.openai.com/codex/app Codex automations docs: https://developers.openai.com/codex/app/automations Model Context Protocol docs: https://modelcontextprotocol.io/introduction GitHub Issues docs: https://docs.github.com/en/issues/tracking-your-work-with-issues/about-issues GitHub pull requests docs: https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests Next.js: https://nextjs.org Convex: https://www.convex.dev Vercel: https://vercel.com Follow me on other platforms 😈 🕊️ Twitter/X: https://x.com/aniketapanjwani 💼 LinkedIn: https://linkedin.com/in/aniket-a-panjwani 🤙 Work with me: https://contentquant.io Why watch? If this is your first view—hi, I'm Aniket! TLDR: I've worked for six years as an MLOps engineer at Zelle building financial AI models, automations and data pipelines saving consumers from tens of millions of dollars of fraud. Now, I use my professional and academic expertise (PhD Economics from Northwestern University) to help businesses automate tedious but critical processes to drive revenue and innovation. Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏 Like, subscribe, and leave me a comment if you have a specific request! Thanks. 0:00 Welcome and course promise 2:49 The 24-section roadmap 7:25 What Codex actually is 12:39 Pricing and installing Codex 15:50 Codex Desktop interface tour 39:25 Context windows and compaction 44:22 Voice mode and better prompts 47:21 Permissions, guardrails, and terminal basics 56:05 AGENTS.md project instructions 1:01:24 The five practical primitives 1:06:22 Plugins and the plugin directory 1:16:05 Computer use 1:22:16 Skills deep dive 1:48:24 Skills vs MCPs 1:58:18 Subagents 2:08:47 When to use which tool 2:17:00 Git and GitHub basics 2:33:25 Deciding what to build 2:56:28 Cloud delegation 3:03:23 GitHub issues 3:07:57 Codex automations 3:16:24 Next.js, Convex, and Vercel stack 3:23:55 Worktrees and parallel repo work 3:27:52 Worktree environments and bootstrap scripts 3:33:19 Building Creator Carousel Studio 3:44:57 Letting Codex drive the next issues 3:59:58 Course wrap-up and next steps

챕터

  1. 0:00 Welcome and course promise
  2. 2:49 The 24-section roadmap
  3. 7:25 What Codex actually is
  4. 12:39 Pricing and installing Codex
  5. 15:50 Codex Desktop interface tour
  6. 39:25 Context windows and compaction
  7. 44:22 Voice mode and better prompts
  8. 47:21 Permissions, guardrails, and terminal basics
  9. 56:05 AGENTS.md project instructions
  10. 61:24 The five practical primitives
  11. 66:22 Plugins and the plugin directory
  12. 76:05 Computer use
  13. 82:16 Skills deep dive
  14. 108:24 Skills vs MCPs
  15. 118:18 Subagents
  16. 128:47 When to use which tool
  17. 137:00 Git and GitHub basics
  18. 153:25 Deciding what to build
  19. 176:28 Cloud delegation
  20. 183:23 GitHub issues
  21. 187:57 Codex automations
  22. 196:24 Next.js, Convex, and Vercel stack
  23. 203:55 Worktrees and parallel repo work
  24. 207:52 Worktree environments and bootstrap scripts
  25. 213:19 Building Creator Carousel Studio
  26. 224:57 Letting Codex drive the next issues
  27. 239:58 Course wrap-up and next steps
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OpenAI Codex로 디자인하기에 관한 community 자료로서 Codex-Design 커뮤니티를 위해 엄선했습니다.