[Codex + Ollama] On-Device Vibe Coding: Free & Unlimited Tokens with Security

This is Korea's first free lecture covering how to utilize 'On-Device Vibe Coding' agents that are 100% free, offer unlimited tokens, and provide perfect security. We will build an on-device development agent that integrates Codex + Ollama + Open Source LLMs to overcome the limitations of cloud-based vibe coding tools, such as frequent token limit interruptions, rising subscription fees, and concerns over source code leaks.

(4.9) 95 reviews

1,044 learners

Level Beginner

Course period Unlimited

codex
codex
AI
AI
LLM
LLM
Vibe Coding
Vibe Coding
codex
codex
AI
AI
LLM
LLM
Vibe Coding
Vibe Coding

Reviews from Early Learners

4.9

5.0

BRUCE KATE

100% enrolled

간단한 것 같지만, 주요 내용에 대해 방향을 설정하도록 하였네요. 감사합니다.

5.0

yim1jp

36% enrolled

I like that Vibe Coding makes it easy to approach building my own LLM model.

5.0

웰시코디

100% enrolled

I gained a lot of insights regarding the part about overcoming the context window.

What you will gain after the course

  • Run Vibe Coding with zero cost and no token limits

  • Build a 100% local development environment without security concerns.

  • Open-source model utilization capabilities & AI-native knowledge acquisition


On-device Vibe Coding, start without token limits

We present a free guide on how to build 'your own AI development agent' with zero cost, unlimited tokens, and perfect security—unlike anything you've experienced before.




🚨

Have you experienced these problems
with your coding vibes so far?

🪫 Token Limits

Is your workflow frequently interrupted by token limits that cut off constantly?

💰 Subscription Fees & API Costs

Are you unable to use it to your heart's content because of rising subscription fees and API costs?

🚨 Risk of source code leakage

Are you unable to use it in your company due to the risk of source code leaks?

The breakthrough that breaks down the three barriers above and handles everything right on your computer is
'On-Device Vibe Coding.'




✅
On-Device Vibe Coding:
Develop with Free & Unlimited Tokens & No Security Concerns


On-device Vibe Coding is a new way of Vibe Coding that runs open-source Large Language Models (LLMs)
directly on your computer (Mac/Windows).

As a result, there are no token costs or limits, and
it is possible to build a
perfectly secure environment that can be used even without the internet.


Point 1

Easy Installation & Intuitive Use

In this course, you will learn how to easily set up and use an on-device Vibe Coding environment using Codex App, an intuitive GUI tool for general users.

The familiar Vibe Coding tool, Codex App's initial screen


Point 2

How to maximize the performance of small models

Understand various techniques to achieve high performance with models used in on-device environments, even though they are smaller in size than cloud-based models (such as Claude-Opus, GPT, etc.).

Various local LLM models available for use in on-device environments


Point 3

Beyond simple usage to the principles of local AI

You will understand the core principles of AI models, the open-source ecosystem, and how your own computer (hardware) runs AI—knowledge that is often overlooked when using cloud-based models.



🎉
Vibe coding is free,
the lecture is also free


On-device Vibe Coding is free (no additional costs for practice), and the lectures are also free.
This course is provided 100% free of charge.


Notes before taking the course

Practice Environment

  • Operating System: Windows or macOS

  • Tools used: OpenAI Codex, Ollama, LLM Models (Gemma4 lineup)

  • Recommended Specifications: RAM 16GB or higher

This course is a textbook-based course, not a VOD course.

  • All practice source codes, prompts, and guidebooks are provided in text format.



Recommended for
these people

Who is this course right for?

  • Vibe coders struggling with high Vibe Coding subscription fees & frequent token limits

  • Practitioners who are sensitive to the leakage of source code and information (API keys, etc.)

  • Those who want to grow into AI Architects who control the operating principles and serving infrastructure of open-source LLMs

Need to know before starting?

  • Experience using vibe coding tools such as Claude (Code), Codex, Cursor, and Antigravity is a plus.

  • It is preferred if you have development experience in specific fields such as web or apps.

Hello
This is youngportfolio

Career Verified

9,000

Learners

595

Reviews

3

Answers

4.7

Rating

6

Courses

So that everyone can benefit from technology, I am an “AI knowledge provider” who connects AI to everyday practice.

I create courses for people who don’t have enough time to study, find development difficult, or feel burdened by the cost of using AI, and therefore can’t make full use of technology.

Based on experience gained through studying independently and building products, I clearly and practically share ways to apply these tools directly to my own studies and work, going beyond their features.

 

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Curriculum

All

12 lectures

Course Materials:

Published: 
Last updated: 

Reviews

All

95 reviews

4.9

95 reviews

  • umtitite님의 프로필 이미지
    umtitite

    Reviews 5

    ∙

    Average Rating 5.0

    5

    100% enrolled

    I gained a lot of insights regarding the part about overcoming the context window.

    • yim1jp6245님의 프로필 이미지
      yim1jp6245

      Reviews 2

      ∙

      Average Rating 5.0

      5

      36% enrolled

      I like that Vibe Coding makes it easy to approach building my own LLM model.

      • minju0626님의 프로필 이미지
        minju0626

        Reviews 2

        ∙

        Average Rating 5.0

        5

        100% enrolled

        It was great for getting a grasp of the workflow for starting with LLM and RAG, and it really broke my biases against local models! It wasn't too long, so I finished it all on my way to work. Highly recommended! :)

        • arbor07010899님의 프로필 이미지
          arbor07010899

          Reviews 4

          ∙

          Average Rating 5.0

          5

          100% enrolled

          간단한 것 같지만, 주요 내용에 대해 방향을 설정하도록 하였네요. 감사합니다.

          • k75989641722님의 프로필 이미지
            k75989641722

            Reviews 9

            ∙

            Average Rating 4.7

            5

            64% enrolled

            It is a written lecture, but it is well-organized. I think it would be good for those who are interested to give it a read.

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