하네스 엔지니어링 따라하기 (Harness Engineering Practice feat. Management)

#ai #harness #harnessengineering #Harness #HarnessEngineering #Prompt #PromptEngineering #promptengineering #repositoryharness #applicationharness #Claude #Codex #claude #codex #claudecode #Ryurangdo #PerformanceManagement #PeterDrucker #management #mbo #managementbyobjective #peterdrucker #BusinessAdministration 0:00 Start 0:55 What is Harness Engineering? Differences from Prompt Engineering 1:44 I'm a busy team leader! How do I get AI to do the work? 2:48 The 4 Components of Harness Engineering 6:51 Repository Harness and Application Harness 7:24 So, how do we structure Harness Engineering? 8:12 Harness Engineering Hands-on Practice (Building a Saju Web App) 14:24 Checking the First Draft 15:16 Downloading Markdown Documents from Claude 16:09 Opening Claude or Codex 18:44 Implementing the Repository Harness (feat. Codex) 19:36 Creating a Constitution Together 19:44 Viewing the Implemented Harness (ask dori github) 23:55 Evaluating the Second Draft 25:02 Integrating with GitHub 25:20 Narrowing Tacit Knowledge 26:38 Checking Results After Running the Execution Loop 29:37 Harness Engineering and Management 32:56 My Organization Building with AI 35:15 How to Turn Outstanding Individual Knowledge into an Organizational Asset? GitHub: https://github.com/InoneSummer/saju_h... This channel is a space dedicated to explaining AI, automation, coding, and various tech tools in an easy and friendly manner. It is structured so that anyone can understand even seemingly complex technologies by following along step-by-step. Difficult concepts are explained simply, and we practice them firsthand. The key is for both you and me to try it out. Learn, use, and let's do it together!

Take away everything from the reason for harness engineering's existence to practical examples!
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Take away everything from the reason for harness engineering's existence to practical examples!

Claude's skill, which can be used like an agent by 'taking it out' whenever needed (Dr. Kang Su-jin)
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Claude's skill, which can be used like an agent by 'taking it out' whenever needed (Dr. Kang Su-jin)

The End of Harness Tuning Is Stock: Why Managed Agents Were Born
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The End of Harness Tuning Is Stock: Why Managed Agents Were Born

트랜스포머부터 니모트론까지 아키텍처 발달사
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트랜스포머부터 니모트론까지 아키텍처 발달사

Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!
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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

기업이 꼭 알아야 할 '온톨로지'의 모든 것 (김학래 중앙대 교수)
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기업이 꼭 알아야 할 '온톨로지'의 모든 것 (김학래 중앙대 교수)

"Why can't I produce good reports using AI?" (Kim Deok-joong, Director of Firb AI Research Center)
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"Why can't I produce good reports using AI?" (Kim Deok-joong, Director of Firb AI Research Center)

'클로드 디자인'은 디자이너의 일을 어떻게 바꾸고 있나 / 오그랲 / 비디오머그
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'클로드 디자인'은 디자이너의 일을 어떻게 바꾸고 있나 / 오그랲 / 비디오머그

"Software Fundamentals Matter More Than Ever" — Matt Pocock
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"Software Fundamentals Matter More Than Ever" — Matt Pocock

You’re Not Behind (Yet): How to Build AI Agents in 2026 (no coding)
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You’re Not Behind (Yet): How to Build AI Agents in 2026 (no coding)

python 22강 외부 라이브러리, 실습
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python 22강 외부 라이브러리, 실습

비개발자가 자주 묻는 Claude Code FAQ 5개 | Claude Code, 터미널, IDE, CLI 개념 정리
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비개발자가 자주 묻는 Claude Code FAQ 5개 | Claude Code, 터미널, IDE, CLI 개념 정리

Model Context Protocol (MCP), clearly explained (why it matters)
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Model Context Protocol (MCP), clearly explained (why it matters)

Create reports with just Excel! Jaw-dropping AI tools (Kim Deok-joong, Director of Firb AI Resear...
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Create reports with just Excel! Jaw-dropping AI tools (Kim Deok-joong, Director of Firb AI Resear...

Summary of the Harness Engineering Lab with OpenAI Codex!! If you hesitated because the live stre...
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Summary of the Harness Engineering Lab with OpenAI Codex!! If you hesitated because the live stre...

The 7 Skills You Need to Build AI Agents
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The 7 Skills You Need to Build AI Agents

MCP: Essential Knowledge for the AI ​​Era, Complete It with This One Video!
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MCP: Essential Knowledge for the AI ​​Era, Complete It with This One Video!

You're missing out if you don't know how to save 90% on API costs. Caching prompts saves tokens.
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You're missing out if you don't know how to save 90% on API costs. Caching prompts saves tokens.

A good agent system comes from design, not headcount (feat. Claude Codd)
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A good agent system comes from design, not headcount (feat. Claude Codd)

AI 최후의 승자 이래서 구글입니다 (KAIST 전자및전기공학부 김정호 교수)
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AI 최후의 승자 이래서 구글입니다 (KAIST 전자및전기공학부 김정호 교수)