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Codex with Silicon Valley Engineers

From a developer who only used ChatGPT to a developer who handles AI agents. Learn practical ways to maximize coding productivity using Codex's Rules, Hooks, Skills, and MCP.

56 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
Python
Python
codex
codex
claude
claude
AI Agent
AI Agent
AI
AI
Python
Python
codex
codex
claude
claude
AI Agent
AI Agent

What you will gain after the course

  • Automating Team Development Guides Using Codex Rules

  • Automation of Hooks-based code review and verification

  • Building an external service integration environment using MCP

  • Completion of AI agent-based development workflow

🚀 The era of AI agents is here, and the way we develop is changing

Beyond the era of ChatGPT simply answering questions, we have now entered an era where AI actually writes code, understands projects, and performs development tasks.

OpenAI's Codex is not just a simple code generation tool.

It is an AI Software Engineering Agent that can understand projects,
perform multiple tasks simultaneously,
connect with external systems,
and carry out development work on behalf of developers.

However, many developers are still struggling with the following concerns.

  • How is Codex different from ChatGPT?

  • How is it different from Cursor and Claude Code?

  • How should it be utilized in practice?

  • When should AGENTS.md, MCP, Rules, and Hooks be used?

  • What specific problems does the Subagent actually solve?

This lecture focuses not just on simple functional descriptions, but on how actual developers apply Codex to real-world work.

👨‍💻 Recommended for the following people

🚀 Developers who want to properly utilize AI coding tools

I've tried using ChatGPT, but

  • don't know what makes Codex different

  • I don't know the difference between Cursor and Claude Code

  • I don't know how to apply AI to actual work.

For those who have these concerns

⚙️ Engineers who want to automate repetitive tasks

Every day repeating

  • Code modification

  • Document writing

  • Run test

  • Refactoring

  • Project Analysis

Those who want to delegate tasks to AI and increase productivity

Those who want to learn development methods in the era of AI Agents

Beyond simply generating code

  • AGENTS.md

  • MCP

  • Rules

  • Hooks

  • Skills

  • Subagents



    Those who want to learn how to collaborate with AI by utilizing it

🎯 After taking this course

✅ You will be able to apply Codex to your practical work

Not just simple code generation, but

  • Project Analysis

  • Feature implementation

  • Refactoring

  • Automation

You will even be able to leave it up to Codex.


✅ You will understand how to delegate tasks to AI

What you need to do yourself and

what should be entrusted to AI

You will be able to make judgments.


✅ You can build your own AI development environment

  • AGENTS.md

  • MCP

  • Rules

  • Hooks

  • Skills

You can create a development environment tailored to your project by utilizing .


✅ You will be able to adapt quickly even when new AI tools are released

It's not just about learning how to use Codex, but

Because you will learn the mindset of collaborating with AI Agents,

You will be able to easily master new AI development tools that emerge in the future.

🚀 Features of this course

AI development workflows of current Silicon Valley engineers

This is not a simple explanation of features. You will learn how AI Agents are utilized in actual Silicon Valley development environments and workflows that increase productivity. We focus more on how to use it in practice rather than what features it has.

🤖 Development Methodology in the Age of AI Agents

You will learn how to develop by collaborating with AI Agents, rather than just learning how to use ChatGPT.

You will acquire a mindset that allows you to quickly adapt even when new AI tools emerge in the future.

📚 What you will learn

⚙️ How to turn AI into your development team

  • Steering & Queueing

  • Sessions

  • AGENTS.md

  • Rules

  • Subagents

Learn how to utilize AI not just as a simple chatbot, but as an actual development partner.

🔌 Extending Codex into Your Own Development Platform

  • MCP

  • Skills

  • Hooks

  • Plugins

We will practice how to connect Codex to your projects and automate repetitive tasks by utilizing .

💬 Do you have any questions?

Q. I've never used an AI coding tool before; will I be okay?

Of course. The lecture starts from installation and covers what Codex is, how to use it, and why we use it.

will be explained step-by-step. However, you will be able to follow along much more easily if you have a basic understanding of how to use Git and the terminal.

Q. What will I be able to do after taking this course?

Beyond simply using "AI that writes code for you," you will understand how to delegate analysis, implementation, and testing to AI, and how to automate repetitive tasks.

Additionally, you will be able to build your own AI development environment by utilizing MCP, Hooks, Rules, and more.

Q. AI is developing so rapidly; is it okay to start learning now?

In fact, I believe now is the best time. While AI tools continue to change, the methods of delegating tasks to AI,

how to collaborate with AI, and how to utilize AI Agents will continue to grow in importance.

This course does not just explain the features of a specific version, but focuses on understanding development methods in the era of AI Agents.

🙋 Notes before taking the course

💻 Practice Environment

  • You can take the course on Windows, macOS, or Linux.


  • The lectures are conducted in a macOS environment, but most of the content can be applied regardless of the operating system.

Tools Used

  • ChatGPT Plus or Codex access is required.

  • A development environment with Git installed is recommended.

  • Use the terminal (Command Line).

Recommended Specifications

  • A standard development laptop is sufficient.

  • A separate high-specification GPU or AI server is not required.

📚 Learning Materials

  • All lecture slides (PDF)

  • Hands-on practice example code

  • Project Examples

  • Example configuration files used in the lecture

Lecture Slide Language

  • Lecture slides are provided in English.

  • All lecture explanations are provided in Korean.

What I felt while working as a developer in Silicon Valley is that English is closer to a necessity than an option.

Most of the latest AI technologies, open-source documentation, and developer communities operate based on English. Therefore, this course also has slides produced in minimal, understandable English so that you can become familiar with the global development environment.

If you feel uncomfortable or have a strong aversion to English slides, this course may not be suitable for you.

🎯 Prerequisites and Important Notes

Recommended for the following people

  • Working developers

  • Engineers with a certain level of development experience

  • Those who want to apply AI Agents to their practical work

  • Claude Code, Cursor, and GitHub Copilot users

  • Those who want to increase development productivity

❌ Not recommended for these individuals

  • Programming beginners

  • Those looking for a lecture focused on Vibe Coding

  • Those with little to no development experience

  • Those who are expecting "how AI builds an app all by itself"


This course focuses more on how experienced developers can utilize Codex in their practical work rather than simply building an app with Codex.

Recommended for
these people

Who is this course right for?

  • Developers who use ChatGPT but don't know how to utilize AI agents

  • Developers who do not feel a boost in productivity even when using AI coding tools

  • An engineer who wants to automate repetitive development tasks

  • A tech lead who wants to automate team development rules and code quality management

  • Developers who want to connect internal systems and AI using MCP

  • All software engineers who want to achieve higher productivity in the AI era

Need to know before starting?

  • A ChatGPT or Codex account is required.

  • It will be even easier to take the course if you have development experience.

  • It is helpful to know the basic usage of the Terminal.

Hello
This is altoformula

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Are you going to finish in Korea? Penetrate the global market with English! 🌍🚀

Hello. I majored in Computer Science (EECS) at UC Berkeley 💻, have worked as a software engineer in Silicon Valley for over 15 years, and am currently a Staff Software Engineer working with Big Data and DevOps at a Big Tech headquarters in Silicon Valley.

  • 🧭 I would now like to share the technologies and know-how I learned firsthand at the forefront of innovation in Silicon Valley with all of you through online lectures.

  • 🚀 Join me, having learned and grown at the forefront of technological innovation, and develop the skills to compete on the global stage!

  • 🫡 I may not be the smartest, but I want to emphasize that you can achieve anything if you stay consistent and never give up. I will always be by your side, supporting you with great resources.

 

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22 lectures ∙ (3hr 16min)

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