CLI, 앱, IDE 확장 및 클라우드 워크플로우를 통해 OpenAI Codex를 활용할 수 있는 교육 과정입니다.

과정 개요

이 5 시간의 핸드 온 워크샵은 설치, 인증, 안전 에이전트 워크플로우, 구성, MCP 서버, 기술, 클라우드 작업 및 실용적인 개발 실험실을 다룹니다.

당신이 배울 것

• ♨ 설치 및 설정: CLI, 앱, IDE, ChatGPT 로그인 및 API 키 인증
• ️ **안전 및 보안 ** : 샌드박스 모드, 승인 정책, 신뢰할 수있는 프로젝트 및 리뷰
• Core 기능: AGENTS.md 지도, 사용자 정의 프롬프트, 프로필 및 세션 재개
• ⚡ **: 스크립트, 참조, 자산을 가진 재사용 가능한 워크플로우 번들
• 過去 Advanced Capabilities: MCP 통합, Codex Cloud, 로컬 OSS 모델 및 CI/CD 워크플로우
• 💻 Practical Skills: Java, Python, TypeScript의 Real-world 운동

필수품

• 명령행 경험
• 최소 1개 언어의 기본 프로그래밍 지식
• Git 익숙함
• Docker (고급 운동)

저장소 구조

빠른 시작

##1. Codex 설치

##2. 인증

##3. 첫 번째 명령을 실행

##4. 훈련 시작

온라인 슬라이드

OpenAI Codex Training

A hands-on training course for using OpenAI Codex across the CLI, app, IDE extensions, and cloud workflows.

Course Overview

This 5-hour hands-on workshop covers installation, authentication, safe agent workflows, configuration, MCP servers, skills, cloud tasks, and practical development labs.

What You’ll Learn

• 🚀 Installation & Setup: CLI, app, IDE, ChatGPT login, and API-key authentication
• 🛡️ Safety & Security: Sandbox modes, approval policies, trusted projects, and reviews
• 🎯 Core Features: AGENTS.md guidance, custom prompts, profiles, and session resumption
• ⚡ Agent Skills: Reusable workflow bundles with scripts, references, and assets
• 🔧 Advanced Capabilities: MCP integration, Codex Cloud, local OSS models, and CI/CD workflows
• 💻 Practical Skills: Real-world exercises in Java, Python, and TypeScript

Prerequisites

• Command-line experience
• Basic programming knowledge in at least one language
• Git familiarity
• Docker (for advanced exercises)

Repository Structure

codex-training/
├── slides.md                     # Slidev presentation (160+ slides)
├── exercises/                    # Hands-on labs with starter code
│   ├── plan-mode-warmup/        # Lab 0: Plan mode and steering warm-up
│   ├── java-spring-boot/        # Lab 1: Spring Boot REST API
│   ├── python-refactoring/      # Lab 2: Legacy code refactoring
│   ├── react-forms/             # Lab 3: React TypeScript forms
│   ├── microservices/           # Lab 4: Multi-language microservices
│   ├── skills-creation/         # Lab 5: Create custom Codex skills
│   └── mcp-context7/            # Lab 6: Connect current docs through MCP
├── config-examples/              # Sample configurations
│   ├── basic-config.toml        # Minimal setup for beginners
│   └── advanced-config.toml     # Full features with MCP, profiles
├── prompts/                      # Custom prompt templates
│   └── *.md                     # security-audit, test-gen, etc.
├── docs/                         # Reference documentation
│   ├── TROUBLESHOOTING.md       # Common issues and solutions
│   └── MODEL-SELECTION.md       # Cost/performance guide
├── .github/workflows/            # CI/CD examples
│   └── codex-review.yml         # Automated PR review with Codex
└── exports/                      # Slide exports (PDF)

Quick Start

1. Install Codex

# Official install script (macOS/Linux)
curl -fsSL https://chatgpt.com/codex/install.sh | sh

# Via npm
npm install -g @openai/codex

# Via Homebrew (macOS/Linux)
brew install --cask codex

# Verify installation
codex --version

2. Authenticate

# ChatGPT account (recommended)
codex login

# Or store an API key with Codex
printenv OPENAI_API_KEY | codex login --with-api-key

3. Run Your First Command

codex "Create a hello world function in Python"

4. Start the Training

# Clone this repository