{"success":true,"count":8,"items":[{"videoId":"B26CwKm5C1k","chunkIndex":0,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 1 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["artificial-intelligence","software-engineering","ai-agents","coding-assistants","developer-tools","platform-engineering","future-of-work","b2b-saas"],"normalizedKeywords":["엔지니어링","기술 트렌드","비즈니스·전략"],"targetAudience":[{"who":"엔지니어","why":"AI가 코딩과 리뷰를 어떻게 바꾸는지 바로 체감할 수 있음"},{"who":"플랫폼/개발툴 담당자","why":"개발 생산성과 에이전트 활용의 변화 방향을 읽을 수 있음"},{"who":"스타트업 창업자","why":"1인 유니콘, B2B SaaS 기회 같은 파급효과를 가늠할 수 있음"},{"who":"프로덕트 매니저","why":"모델이 빠르게 바뀌는 환경에서 제품 전략을 재정의하는 힌트를 얻음"}],"normalizedAudience":["엔지니어·개발자","창업자·스타트업","프로덕트 매니저·기획자"],"summary":"이 영상은 OpenAI의 플랫폼 엔지니어링 책임자인 Sherwin Wu가 바라보는 AI 시대의 소프트웨어 개발 변화를 다룬다. 핵심 메시지는 엔지니어의 역할이 '코드를 직접 쓰는 사람'에서 '에이전트와 도구들을 조율하는 테크 리드/매니저'로 빠르게 바뀌고 있다는 점이다. OpenAI 내부에서는 이미 대부분의 엔지니어가 Codex를 매일 사용하고, PR 리뷰도 AI가 담당하며, AI 도구를 많이 쓰는 팀일수록 더 많은 PR을 열고 생산성이 높아지는 현상이 나타난다고 말한다.\n\n또한 그는 지금의 AI가 매우 빠르게 진화하기 때문에, 오늘의 모델과 현재의 워크플로를 기준으로만 제품을 만들면 금방 낡아버린다고 강조한다. 따라서 중요한 것은 '지금 모델이 할 수 있는 것'이 아니라 '모델이 앞으로 어디로 갈 것인지'에 맞춰 설계하는 일이며, 그 변화는 1~2년 안에 소프트웨어 엔지니어링과 B2B 소프트웨어 시장 전반을 크게 재편할 수 있다고 전망한다.","insights":["엔지니어의 가치는 코드 작성보다 에이전트 조율로 이동한다.","AI를 잘 쓰는 팀일수록 더 많은 실험과 PR을 만든다.","현재 모델이 아니라 다음 세대 모델을 기준으로 설계해야 한다.","AI는 개발 도구를 대체하기보다 개발 흐름 전체를 재편한다.","1인 유니콘과 맞춤형 B2B 소프트웨어의 기회가 커진다."],"keyClips":[{"clipId":"B26CwKm5C1k:c0:1-3","startSegmentIndex":1,"endSegmentIndex":3,"startTime":3.51,"endTime":17.52,"durationSeconds":14,"preview":"개발자의 역할 변화","mustSee":true},{"clipId":"B26CwKm5C1k:c0:4-6","startSegmentIndex":4,"endSegmentIndex":6,"startTime":17.52,"endTime":33.84,"durationSeconds":16.3,"preview":"1인 스타트업의 시대","mustSee":false},{"clipId":"B26CwKm5C1k:c0:7-11","startSegmentIndex":7,"endSegmentIndex":11,"startTime":33.84,"endTime":58.48,"durationSeconds":24.6,"preview":"AI 시대의 개발 현실","mustSee":false},{"clipId":"B26CwKm5C1k:c0:13-14","startSegmentIndex":13,"endSegmentIndex":14,"startTime":62.239,"endTime":71.84,"durationSeconds":9.6,"preview":"미래 기준으로 설계","mustSee":true},{"clipId":"B26CwKm5C1k:c0:37-54","startSegmentIndex":37,"endSegmentIndex":54,"startTime":213.92000000000002,"endTime":364.319,"durationSeconds":150.4,"preview":"코드 생산성의 재편","mustSee":false},{"clipId":"B26CwKm5C1k:c0:66-78","startSegmentIndex":66,"endSegmentIndex":78,"startTime":476.08,"endTime":607.44,"durationSeconds":131.4,"preview":"엔지니어의 매니저화","mustSee":true}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. I don't know what job has changed more in the past couple years. I don't know what job has changed more in the past couple years like job that we didn't expect to change this much where just like the job of an engineer is so different in the entire lifespan of an engineer like in the past couple years it's now shifted to I don't write any more code how do you imagine the role of an engineer and the job of a software engineer looks in the next couple years just like what is that job yeah it's I mean it's honestly being really cool to see um uh and it's part of where the excitement is because uh like the job is likely going to change pretty significantly over the next one to two years. Engineers are becoming tech leads. They're managing fleets and fleets of agents.","startTime":3.51,"endTime":9.84,"durationSeconds":6,"level":"B2","overallScore":7.2,"rationale":""},{"segmentIndex":11,"text":"They tend to like disrupt themselves. The models will eat your scaffolding for breakfast.","startTime":55.44,"endTime":58.48,"durationSeconds":3,"level":"C1","overallScore":6.6,"rationale":""},{"segmentIndex":13,"text":"Make sure you're building for where the models are going and not where they are today. There's a quote from Kevin Whale, our VP of science here.","startTime":62.239,"endTime":67.92,"durationSeconds":6,"level":"B2","overallScore":6.4,"rationale":""},{"segmentIndex":64,"text":"It kind of feels like we're still figuring things out though and so there's like this excitement I know especially from some of the software engineers of like we're in this rare moment you know maybe over the next 12 to 24 months where we'll kind of get to figure things out ourselves and set our standards for ourselves in terms of where I see uh I see this moving.","startTime":457.759,"endTime":472.72,"durationSeconds":15,"level":"C1","overallScore":6.4,"rationale":""},{"segmentIndex":75,"text":"Like it says like software engineers are like wizards and you're like programming languages are like incantations and you're like you know you're saying you're issuing these spells and these spells are kind of like going out and doing things for you and the challenge is like what incantation do you have to say to make the program do what you want.","startTime":566.399,"endTime":583.04,"durationSeconds":17,"level":"C1","overallScore":6.6,"rationale":""},{"segmentIndex":4,"text":"What do you think people aren't pricing in yet? The second or third order effects of the oneperson billion dollar startup to enable a one person billion dollar startup.","startTime":17.52,"endTime":24.96,"durationSeconds":7,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":6,"text":"And so I think we might actually enter into a golden age of B2B SAS. >> I've been hearing more and more there's this stress people feel when their agents aren't working.","startTime":28.24,"endTime":33.84,"durationSeconds":6,"level":"B2","overallScore":6,"rationale":""},{"segmentIndex":10,"text":"The field and the models themselves are just changing so quickly.","startTime":50.879,"endTime":55.44,"durationSeconds":5,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":16,"text":"Considering that essentially every AI startup integrates with OpenAI's APIs, Sherwin has an incredibly unique and broad view into what is going on and where things are heading.","startTime":77.119,"endTime":86.08,"durationSeconds":9,"level":"C1","overallScore":5.8,"rationale":""},{"segmentIndex":38,"text":"And so I know for myself and some of the other emuring managers at OpenAI, uh all of our code is written by codeex uh at this point. But more broadly, there's just been this there's just so much energy.","startTime":223.12,"endTime":231.76,"durationSeconds":9,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":63,"text":"We've gone from you write every line of code to now AI is writing all of your code.","startTime":418.8,"endTime":457.759,"durationSeconds":39,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":66,"text":"So I think there's a common thing that everyone's saying which is uh you know people are generally like IC engineers are becoming tech leads.","startTime":476.08,"endTime":481.52,"durationSeconds":5,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":71,"text":"And so their job has kind of really changed from just writing the code itself into being almost like a manager.","startTime":505.12,"endTime":514.8,"durationSeconds":10,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":77,"text":"And I think it's actually playing out as we move into this uh new era of vibe coding or just like what software engineering will look like because programming languages were basically these incantations.","startTime":589.04,"endTime":597.44,"durationSeconds":8,"level":"C1","overallScore":5.4,"rationale":""},{"segmentIndex":7,"text":"There's a team that's actually doing an experiment right now within OpenAI where they are maintaining a 100% codeex written codebase.","startTime":33.84,"endTime":41.28,"durationSeconds":7,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":9,"text":"Team doesn't have that escape hatch. >> You've shared that listening to customers not always the right strategy in AI.","startTime":45.76,"endTime":50.879,"durationSeconds":5,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":14,"text":"He likes saying,\"This is the worst the models will ever be.\"","startTime":67.92,"endTime":71.84,"durationSeconds":4,"level":"B1","overallScore":4.6,"rationale":""},{"segmentIndex":37,"text":">> I do write code occasionally now still. Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T02:49:27.361Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":1,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 2 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["artificial-intelligence","software-engineering","agents","coding-tools","productivity","developer-workflow","code-review","automation"],"normalizedKeywords":["엔지니어링","기술 트렌드","리더십·매니지먼트"],"targetAudience":[{"who":"엔지니어","why":"AI 코딩 에이전트와 리뷰 자동화가 개발 실무를 어떻게 바꾸는지 볼 수 있음"},{"who":"엔지니어링 매니저","why":"팀 생산성과 코드 리뷰, 배포 흐름을 AI로 재설계하는 관점을 얻을 수 있음"},{"who":"프로덕트 리더","why":"AI 도입이 실제 조직의 작업 분배와 병목을 어떻게 바꾸는지 이해할 수 있음"}],"normalizedAudience":["엔지니어·개발자"],"summary":"이 구간은 AI 코딩 에이전트가 소프트웨어 엔지니어링의 작업 방식을 어떻게 바꾸고 있는지 설명한다. 코딩은 이제 단순히 명령을 실행하는 수준이 아니라, 모델에게 정확한 지시를 내리는 '주문'에 가까워졌고, 그래서 숙련된 엔지니어일수록 더 높은 레버리지를 얻는다. 다만 에이전트가 아직 완벽하지 않기 때문에, 잘못된 방향으로 흘러가지 않도록 계속 감독하고 문맥을 충분히 제공하는 능력이 중요하다고 강조한다.\n\n또한 OpenAI 내부 사례를 통해 AI가 코드 작성, 코드 리뷰, CI/배포, lint 수정까지 점점 더 많은 보일러플레이트를 흡수하고 있음을 보여준다. 특히 코드 리뷰와 반복적인 후처리 작업은 AI가 매우 잘하는 영역으로, 엔지니어는 점점 더 재미있고 중요한 문제에 집중하게 된다고 말한다. 동시에 모든 것을 AI에 맡길 수는 없고, 적절한 주의와 피드백 루프, 그리고 모델이 이해할 수 있게 지식을 코드베이스에 구조화하는 방식이 필요하다는 점이 핵심이다.","insights":["AI 코딩은 생산성보다 '지시의 정밀도'가 더 중요해진다.","에이전트는 자동화 도구가 아니라 계속 감독해야 할 협업자다.","가장 먼저 자동화되는 일은 늘 지루하고 반복적인 작업이다.","코드 리뷰와 CI는 AI가 가장 빨리 흡수하는 병목 구간이다.","문맥을 코드에 남기는 능력이 에이전트 활용도를 좌우한다."],"keyClips":[{"clipId":"B26CwKm5C1k:c1:2-10","startSegmentIndex":2,"endSegmentIndex":10,"startTime":607.839,"endTime":711.12,"durationSeconds":103.3,"preview":"AI는 주문형 도구","mustSee":false},{"clipId":"B26CwKm5C1k:c1:17-34","startSegmentIndex":17,"endSegmentIndex":34,"startTime":747.68,"endTime":908.88,"durationSeconds":161.2,"preview":"에이전트 운영의 현실","mustSee":true},{"clipId":"B26CwKm5C1k:c1:38-57","startSegmentIndex":38,"endSegmentIndex":57,"startTime":927.279,"endTime":1073.76,"durationSeconds":146.5,"preview":"리뷰와 배포의 자동화","mustSee":false},{"clipId":"B26CwKm5C1k:c1:60-70","startSegmentIndex":60,"endSegmentIndex":70,"startTime":1083.039,"endTime":1170.32,"durationSeconds":87.3,"preview":"사람은 아직 필요하다","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. I don't know what job has changed more in the past couple years. I don't know what job has changed more in the past couple years like job that we didn't expect to change this much where just like the job of an engineer is so different in the entire lifespan of an engineer like in the past couple years it's now shifted to I don't write any more code how do you imagine the role of an engineer and the job of a software engineer looks in the next couple years just like what is that job yeah it's I mean it's honestly being really cool to see um uh and it's part of where the excitement is because uh like the job is likely going to change pretty significantly over the next one to two years. Engineers are becoming tech leads. They're managing fleets and fleets of agents.","startTime":3.51,"endTime":9.84,"durationSeconds":6,"level":"B2","overallScore":7.2,"rationale":""},{"segmentIndex":11,"text":"They tend to like disrupt themselves. The models will eat your scaffolding for breakfast.","startTime":55.44,"endTime":58.48,"durationSeconds":3,"level":"C1","overallScore":6.6,"rationale":""},{"segmentIndex":13,"text":"Make sure you're building for where the models are going and not where they are today. There's a quote from Kevin Whale, our VP of science here.","startTime":62.239,"endTime":67.92,"durationSeconds":6,"level":"B2","overallScore":6.4,"rationale":""},{"segmentIndex":64,"text":"It kind of feels like we're still figuring things out though and so there's like this excitement I know especially from some of the software engineers of like we're in this rare moment you know maybe over the next 12 to 24 months where we'll kind of get to figure things out ourselves and set our standards for ourselves in terms of where I see uh I see this moving.","startTime":457.759,"endTime":472.72,"durationSeconds":15,"level":"C1","overallScore":6.4,"rationale":""},{"segmentIndex":75,"text":"Like it says like software engineers are like wizards and you're like programming languages are like incantations and you're like you know you're saying you're issuing these spells and these spells are kind of like going out and doing things for you and the challenge is like what incantation do you have to say to make the program do what you want.","startTime":566.399,"endTime":583.04,"durationSeconds":17,"level":"C1","overallScore":6.6,"rationale":""},{"segmentIndex":4,"text":"What do you think people aren't pricing in yet? The second or third order effects of the oneperson billion dollar startup to enable a one person billion dollar startup.","startTime":17.52,"endTime":24.96,"durationSeconds":7,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":6,"text":"And so I think we might actually enter into a golden age of B2B SAS. >> I've been hearing more and more there's this stress people feel when their agents aren't working.","startTime":28.24,"endTime":33.84,"durationSeconds":6,"level":"B2","overallScore":6,"rationale":""},{"segmentIndex":10,"text":"The field and the models themselves are just changing so quickly.","startTime":50.879,"endTime":55.44,"durationSeconds":5,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":16,"text":"Considering that essentially every AI startup integrates with OpenAI's APIs, Sherwin has an incredibly unique and broad view into what is going on and where things are heading.","startTime":77.119,"endTime":86.08,"durationSeconds":9,"level":"C1","overallScore":5.8,"rationale":""},{"segmentIndex":38,"text":"And so I know for myself and some of the other emuring managers at OpenAI, uh all of our code is written by codeex uh at this point. But more broadly, there's just been this there's just so much energy.","startTime":223.12,"endTime":231.76,"durationSeconds":9,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":63,"text":"We've gone from you write every line of code to now AI is writing all of your code.","startTime":418.8,"endTime":457.759,"durationSeconds":39,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":66,"text":"So I think there's a common thing that everyone's saying which is uh you know people are generally like IC engineers are becoming tech leads.","startTime":476.08,"endTime":481.52,"durationSeconds":5,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":71,"text":"And so their job has kind of really changed from just writing the code itself into being almost like a manager.","startTime":505.12,"endTime":514.8,"durationSeconds":10,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":77,"text":"And I think it's actually playing out as we move into this uh new era of vibe coding or just like what software engineering will look like because programming languages were basically these incantations.","startTime":589.04,"endTime":597.44,"durationSeconds":8,"level":"C1","overallScore":5.4,"rationale":""},{"segmentIndex":7,"text":"There's a team that's actually doing an experiment right now within OpenAI where they are maintaining a 100% codeex written codebase.","startTime":33.84,"endTime":41.28,"durationSeconds":7,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":9,"text":"Team doesn't have that escape hatch. >> You've shared that listening to customers not always the right strategy in AI.","startTime":45.76,"endTime":50.879,"durationSeconds":5,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":14,"text":"He likes saying,\"This is the worst the models will ever be.\"","startTime":67.92,"endTime":71.84,"durationSeconds":4,"level":"B1","overallScore":4.6,"rationale":""},{"segmentIndex":37,"text":">> I do write code occasionally now still. Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T14:38:09.136Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":2,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 3 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["artificial-intelligence","management","productivity","startups","venture-capital","b2b-software","leadership","automation"],"normalizedKeywords":["리더십·매니지먼트","비즈니스·전략","기술 트렌드"],"targetAudience":[{"who":"테크 매니저","why":"AI 도구가 팀 생산성과 관리 방식에 주는 변화를 바로 적용할 수 있음"},{"who":"초기 창업자","why":"1인 스타트업과 스타트업 붐의 가능성을 사업 전략으로 읽을 수 있음"},{"who":"VC/투자자","why":"AI 이후 스타트업·수익모델·엑시트 구조 변화 관점을 얻을 수 있음"}],"normalizedAudience":["창업자·스타트업","투자자·VC"],"summary":"이 영상은 AI가 조직 운영과 창업 생태계를 어떻게 바꿀지에 대한 관찰을 중심으로 전개된다. 특히 AI 도구가 상위 성과자들의 생산성을 크게 끌어올리고, 매니저는 이들을 더 많이 지원하는 쪽으로 시간을 재배치해야 한다는 점을 강조한다. 동시에 ChatGPT 같은 도구가 조직 맥락과 성과평가를 더 잘 파악하게 만들면서, 관리 가능한 팀 규모 자체가 커질 수 있다고 본다.\n\n더 큰 그림에서는 ‘1인 10억 달러 스타트업’ 가능성이 단순한 슬로건이 아니라, 수많은 소규모 스타트업과 SMB 소프트웨어 붐을 촉발할 수 있는 구조적 변화로 해석한다. 다만 반대측은 지원 비용과 운영 현실 때문에 그런 극단적 스케일이 어렵다고 반론하며, 결국 AI가 만드는 미래는 거대 단일 기업뿐 아니라 더 많은 중소 규모 사업과 그들을 돕는 주변 생태계의 확장일 수 있다고 정리한다.","insights":["AI는 평균보다 상위 성과자의 생산성을 더 크게 끌어올린다.","매니저는 모든 사람보다 핵심 인재에 시간을 더 써야 한다.","AI는 관리 가능 인원을 늘리지만, 맥락 이해가 전제다.","1인 유니콘보다 더 현실적인 변화는 스타트업 수의 폭증이다.","VC 관점에선 대형 엑싯보다 소규모 다수 시장이 커질 수 있다."],"keyClips":[{"clipId":"B26CwKm5C1k:c2:3-10","startSegmentIndex":3,"endSegmentIndex":10,"startTime":1211.919,"endTime":1290.559,"durationSeconds":78.6,"preview":"상위 인재의 증폭","mustSee":false},{"clipId":"B26CwKm5C1k:c2:11-18","startSegmentIndex":11,"endSegmentIndex":18,"startTime":1290.559,"endTime":1389.679,"durationSeconds":99.1,"preview":"관리의 레버리지 확대","mustSee":false},{"clipId":"B26CwKm5C1k:c2:27-36","startSegmentIndex":27,"endSegmentIndex":36,"startTime":1470.559,"endTime":1692.799,"durationSeconds":222.2,"preview":"스타트업 폭발의 파장","mustSee":true},{"clipId":"B26CwKm5C1k:c2:41-45","startSegmentIndex":41,"endSegmentIndex":45,"startTime":1712.32,"endTime":1790.64,"durationSeconds":78.3,"preview":"지원비용의 현실","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. I don't know what job has changed more in the past couple years. I don't know what job has changed more in the past couple years like job that we didn't expect to change this much where just like the job of an engineer is so different in the entire lifespan of an engineer like in the past couple years it's now shifted to I don't write any more code how do you imagine the role of an engineer and the job of a software engineer looks in the next couple years just like what is that job yeah it's I mean it's honestly being really cool to see um uh and it's part of where the excitement is because uh like the job is likely going to change pretty significantly over the next one to two years. Engineers are becoming tech leads. They're managing fleets and fleets of agents.","startTime":3.51,"endTime":9.84,"durationSeconds":6,"level":"B2","overallScore":7.2,"rationale":""},{"segmentIndex":11,"text":"They tend to like disrupt themselves. The models will eat your scaffolding for breakfast.","startTime":55.44,"endTime":58.48,"durationSeconds":3,"level":"C1","overallScore":6.6,"rationale":""},{"segmentIndex":13,"text":"Make sure you're building for where the models are going and not where they are today. 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The second or third order effects of the oneperson billion dollar startup to enable a one person billion dollar startup.","startTime":17.52,"endTime":24.96,"durationSeconds":7,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":6,"text":"And so I think we might actually enter into a golden age of B2B SAS. >> I've been hearing more and more there's this stress people feel when their agents aren't working.","startTime":28.24,"endTime":33.84,"durationSeconds":6,"level":"B2","overallScore":6,"rationale":""},{"segmentIndex":10,"text":"The field and the models themselves are just changing so quickly.","startTime":50.879,"endTime":55.44,"durationSeconds":5,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":16,"text":"Considering that essentially every AI startup integrates with OpenAI's APIs, Sherwin has an incredibly unique and broad view into what is going on and where things are heading.","startTime":77.119,"endTime":86.08,"durationSeconds":9,"level":"C1","overallScore":5.8,"rationale":""},{"segmentIndex":38,"text":"And so I know for myself and some of the other emuring managers at OpenAI, uh all of our code is written by codeex uh at this point. But more broadly, there's just been this there's just so much energy.","startTime":223.12,"endTime":231.76,"durationSeconds":9,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":63,"text":"We've gone from you write every line of code to now AI is writing all of your code.","startTime":418.8,"endTime":457.759,"durationSeconds":39,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":66,"text":"So I think there's a common thing that everyone's saying which is uh you know people are generally like IC engineers are becoming tech leads.","startTime":476.08,"endTime":481.52,"durationSeconds":5,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":71,"text":"And so their job has kind of really changed from just writing the code itself into being almost like a manager.","startTime":505.12,"endTime":514.8,"durationSeconds":10,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":77,"text":"And I think it's actually playing out as we move into this uh new era of vibe coding or just like what software engineering will look like because programming languages were basically these incantations.","startTime":589.04,"endTime":597.44,"durationSeconds":8,"level":"C1","overallScore":5.4,"rationale":""},{"segmentIndex":7,"text":"There's a team that's actually doing an experiment right now within OpenAI where they are maintaining a 100% codeex written codebase.","startTime":33.84,"endTime":41.28,"durationSeconds":7,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":9,"text":"Team doesn't have that escape hatch. >> You've shared that listening to customers not always the right strategy in AI.","startTime":45.76,"endTime":50.879,"durationSeconds":5,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":14,"text":"He likes saying,\"This is the worst the models will ever be.\"","startTime":67.92,"endTime":71.84,"durationSeconds":4,"level":"B1","overallScore":4.6,"rationale":""},{"segmentIndex":37,"text":">> I do write code occasionally now still. Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T21:30:24.354Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":3,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 4 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["artificial-intelligence","platform-engineering","management","productivity","enterprise-software","automation","developer-tools","startup","roi","workflows"],"normalizedKeywords":["리더십·매니지먼트","엔지니어링","기술 트렌드"],"targetAudience":[{"who":"엔지니어링 매니저","why":"팀의 병목을 미리 찾아 제거하는 관리 원칙을 배울 수 있음"},{"who":"AI 도입 담당자","why":"기업 AI 배포에서 ROI가 낮아지는 이유를 점검할 수 있음"},{"who":"스타트업 창업자","why":"인력과 조직을 줄이면서도 레버리지를 키우는 방향을 참고할 수 있음"},{"who":"프로덕트 매니저","why":"AI 기능을 실제 업무 흐름에 맞게 배치하는 관점을 얻을 수 있음"}],"normalizedAudience":["프로덕트 매니저·기획자","엔지니어·개발자","창업자·스타트업"],"summary":"이 영상은 AI 시대에 소프트웨어 제작 비용이 급격히 낮아지면서, 작은 팀이나 1인 창업자도 매우 큰 레버리지를 만들 수 있다는 전망에서 출발한다. 동시에 조직이 복잡해질수록 기술 자체보다 배포, 협업, 우선순위, 그리고 관리자의 '병목 제거' 능력이 더 중요해진다고 말한다. 특히 뛰어난 인재에게 시간을 더 쓰고, 필요한 자원을 미리 준비해 주며, 팀이 막히기 전에 예상하는 것이 좋은 매니지먼트의 핵심이라고 강조한다.\n\n후반부에서는 기업들의 AI 도입이 생각보다 낮은 ROI를 내는 이유를 짚는다. 실리콘밸리의 관점이 일반 기업 현실과 괴리되어 있고, 많은 조직이 AI를 충분히 깊게 쓰지 못한 채 아주 기본적인 문제 해결에만 머무른다는 점을 지적한다. 결국 기술의 성능보다도, 실제 업무 맥락에 맞게 적용하고 사람들의 사용 수준을 끌어올리는 것이 성공의 관건이라는 메시지로 정리된다.","insights":["AI로 소프트웨어 비용이 떨어질수록 팀은 더 작아진다.","좋은 관리자는 일을 시키기보다 병목을 미리 없앤다.","최고 성과자에게 시간을 집중해야 팀 전체가 빨라진다.","AI 도입의 실패는 기술보다 사용 방식의 얕음에서 온다.","실무 맥락에 맞춘 배포가 있어야 AI의 ROI가 나온다."],"keyClips":[{"clipId":"B26CwKm5C1k:c3:1-4","startSegmentIndex":1,"endSegmentIndex":4,"startTime":1801.269,"endTime":1830.159,"durationSeconds":28.9,"preview":"초소형 고레버리지 팀","mustSee":false},{"clipId":"B26CwKm5C1k:c3:10-11","startSegmentIndex":10,"endSegmentIndex":11,"startTime":1886.559,"endTime":1900.96,"durationSeconds":14.4,"preview":"분산과 가시성","mustSee":false},{"clipId":"B26CwKm5C1k:c3:17-18","startSegmentIndex":17,"endSegmentIndex":18,"startTime":1942.72,"endTime":1968.32,"durationSeconds":25.6,"preview":"최고인재 집중관리","mustSee":false},{"clipId":"B26CwKm5C1k:c3:19-29","startSegmentIndex":19,"endSegmentIndex":29,"startTime":1968.32,"endTime":2118.079,"durationSeconds":149.8,"preview":"관리자는 조력자다","mustSee":false},{"clipId":"B26CwKm5C1k:c3:32-37","startSegmentIndex":32,"endSegmentIndex":37,"startTime":2128.4,"endTime":2168.56,"durationSeconds":40.2,"preview":"미리 막힘을 예측","mustSee":false},{"clipId":"B26CwKm5C1k:c3:52-66","startSegmentIndex":52,"endSegmentIndex":66,"startTime":2260.8,"endTime":2398.16,"durationSeconds":137.4,"preview":"AI ROI가 낮은 이유","mustSee":true}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. I don't know what job has changed more in the past couple years. I don't know what job has changed more in the past couple years like job that we didn't expect to change this much where just like the job of an engineer is so different in the entire lifespan of an engineer like in the past couple years it's now shifted to I don't write any more code how do you imagine the role of an engineer and the job of a software engineer looks in the next couple years just like what is that job yeah it's I mean it's honestly being really cool to see um uh and it's part of where the excitement is because uh like the job is likely going to change pretty significantly over the next one to two years. Engineers are becoming tech leads. They're managing fleets and fleets of agents.","startTime":3.51,"endTime":9.84,"durationSeconds":6,"level":"B2","overallScore":7.2,"rationale":""},{"segmentIndex":11,"text":"They tend to like disrupt themselves. 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But more broadly, there's just been this there's just so much energy.","startTime":223.12,"endTime":231.76,"durationSeconds":9,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":63,"text":"We've gone from you write every line of code to now AI is writing all of your code.","startTime":418.8,"endTime":457.759,"durationSeconds":39,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":66,"text":"So I think there's a common thing that everyone's saying which is uh you know people are generally like IC engineers are becoming tech leads.","startTime":476.08,"endTime":481.52,"durationSeconds":5,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":71,"text":"And so their job has kind of really changed from just writing the code itself into being almost like a manager.","startTime":505.12,"endTime":514.8,"durationSeconds":10,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":77,"text":"And I think it's actually playing out as we move into this uh new era of vibe coding or just like what software engineering will look like because programming languages were basically these incantations.","startTime":589.04,"endTime":597.44,"durationSeconds":8,"level":"C1","overallScore":5.4,"rationale":""},{"segmentIndex":7,"text":"There's a team that's actually doing an experiment right now within OpenAI where they are maintaining a 100% codeex written codebase.","startTime":33.84,"endTime":41.28,"durationSeconds":7,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":9,"text":"Team doesn't have that escape hatch. >> You've shared that listening to customers not always the right strategy in AI.","startTime":45.76,"endTime":50.879,"durationSeconds":5,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":14,"text":"He likes saying,\"This is the worst the models will ever be.\"","startTime":67.92,"endTime":71.84,"durationSeconds":4,"level":"B1","overallScore":4.6,"rationale":""},{"segmentIndex":37,"text":">> I do write code occasionally now still. Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T14:38:23.205Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":4,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 5 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["ai-adoption","enterprise-software","model-capability","agent-frameworks","product-strategy","customer-feedback","bitter-lesson","workflow-automation","platform-engineering","organizational-change"],"normalizedKeywords":["비즈니스·전략","프로덕트","기술 트렌드"],"targetAudience":[{"who":"AI 도입 담당자","why":"사내 AI 확산을 top-down이 아닌 bottom-up으로 설계하는 법을 배울 수 있음"},{"who":"스타트업 창업자","why":"모델 변화에 맞춰 제품과 추상화를 설계하는 전략이 중요함"},{"who":"제품/플랫폼 팀","why":"고객 요구와 모델 진화를 함께 보며 스캐폴딩을 조정해야 함"},{"who":"기술 리더","why":"내부 전파자와 고성과자 중심의 변화 확산 전략이 유용함"}],"normalizedAudience":["창업자·스타트업","프로덕트 매니저·기획자","엔지니어·개발자"],"summary":"이 영상은 OpenAI 내부와 여러 기업에서 관찰한 AI 도입의 성공 패턴을 설명한다. 핵심은 CEO의 선언만으로는 충분하지 않고, 실제 업무를 하는 직원들이 자발적으로 배우고 전파하는 bottom-up adoption이 있어야 AI가 조직에 뿌리내린다는 점이다. 이를 위해서는 전사 공지보다 고성과자와 기술 친화적 인력을 모은 내부 evangelist 팀이 워크플로우별 실전 적용과 지식 공유를 주도해야 한다.\n\n후반부에서는 AI 제품/에이전트 빌딩의 전략을 다룬다. 고객 피드백은 중요하지만, 모델과 도구가 너무 빠르게 변하기 때문에 고객이 원하는 것을 그대로 따라가면 local maximum에 갇힐 수 있다고 말한다. 그래서 지금의 요구보다 모델이 앞으로 도달할 능력에 맞춰 제품을 설계해야 하며, 복잡한 scaffolding보다 모델의 성능 향상을 믿고 단순한 추상화와 유연한 도구 구성이 더 중요하다고 주장한다.","insights":["AI 확산은 지시보다 실제 사용자가 전파할 때 빨라진다.","조직별 업무가 달라서 도입은 현장 맞춤형이어야 한다.","고객의 현재 요구만 따르면 모델 진화에 뒤처진다.","스캐폴딩은 모델이 좋아질수록 과감히 줄여야 한다.","미래 능력에 맞춘 제품이 성능 도약의 수혜를 받는다."],"keyClips":[{"clipId":"B26CwKm5C1k:c4:1-14","startSegmentIndex":1,"endSegmentIndex":14,"startTime":2400.95,"endTime":2523.76,"durationSeconds":122.8,"preview":"AI 확산의 조건","mustSee":false},{"clipId":"B26CwKm5C1k:c4:15-28","startSegmentIndex":15,"endSegmentIndex":28,"startTime":2523.76,"endTime":2637.119,"durationSeconds":113.4,"preview":"전파자 팀을 키워라","mustSee":false},{"clipId":"B26CwKm5C1k:c4:30-47","startSegmentIndex":30,"endSegmentIndex":47,"startTime":2642.319,"endTime":2937.76,"durationSeconds":295.4,"preview":"고객보다 모델의 방향","mustSee":true},{"clipId":"B26CwKm5C1k:c4:48-50","startSegmentIndex":48,"endSegmentIndex":50,"startTime":2937.76,"endTime":2965.28,"durationSeconds":27.5,"preview":"미래능력에 맞춘 설계","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. 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The second or third order effects of the oneperson billion dollar startup to enable a one person billion dollar startup.","startTime":17.52,"endTime":24.96,"durationSeconds":7,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":6,"text":"And so I think we might actually enter into a golden age of B2B SAS. >> I've been hearing more and more there's this stress people feel when their agents aren't working.","startTime":28.24,"endTime":33.84,"durationSeconds":6,"level":"B2","overallScore":6,"rationale":""},{"segmentIndex":10,"text":"The field and the models themselves are just changing so quickly.","startTime":50.879,"endTime":55.44,"durationSeconds":5,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":16,"text":"Considering that essentially every AI startup integrates with OpenAI's APIs, Sherwin has an incredibly unique and broad view into what is going on and where things are heading.","startTime":77.119,"endTime":86.08,"durationSeconds":9,"level":"C1","overallScore":5.8,"rationale":""},{"segmentIndex":38,"text":"And so I know for myself and some of the other emuring managers at OpenAI, uh all of our code is written by codeex uh at this point. But more broadly, there's just been this there's just so much energy.","startTime":223.12,"endTime":231.76,"durationSeconds":9,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":63,"text":"We've gone from you write every line of code to now AI is writing all of your code.","startTime":418.8,"endTime":457.759,"durationSeconds":39,"level":"B1","overallScore":5.2,"rationale":""},{"segmentIndex":66,"text":"So I think there's a common thing that everyone's saying which is uh you know people are generally like IC engineers are becoming tech leads.","startTime":476.08,"endTime":481.52,"durationSeconds":5,"level":"B2","overallScore":5.6,"rationale":""},{"segmentIndex":71,"text":"And so their job has kind of really changed from just writing the code itself into being almost like a manager.","startTime":505.12,"endTime":514.8,"durationSeconds":10,"level":"B2","overallScore":5.4,"rationale":""},{"segmentIndex":77,"text":"And I think it's actually playing out as we move into this uh new era of vibe coding or just like what software engineering will look like because programming languages were basically these incantations.","startTime":589.04,"endTime":597.44,"durationSeconds":8,"level":"C1","overallScore":5.4,"rationale":""},{"segmentIndex":7,"text":"There's a team that's actually doing an experiment right now within OpenAI where they are maintaining a 100% codeex written codebase.","startTime":33.84,"endTime":41.28,"durationSeconds":7,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":9,"text":"Team doesn't have that escape hatch. >> You've shared that listening to customers not always the right strategy in AI.","startTime":45.76,"endTime":50.879,"durationSeconds":5,"level":"B2","overallScore":4.8,"rationale":""},{"segmentIndex":14,"text":"He likes saying,\"This is the worst the models will ever be.\"","startTime":67.92,"endTime":71.84,"durationSeconds":4,"level":"B1","overallScore":4.6,"rationale":""},{"segmentIndex":37,"text":">> I do write code occasionally now still. Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T21:31:39.472Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":5,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 6 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["ai","platform","agents","enterprise","audio","automation","startup","api"],"normalizedKeywords":["프로덕트","비즈니스·전략","기술 트렌드"],"targetAudience":[{"who":"AI 스타트업 창업자","why":"에이전트·업무자동화 기회와 플랫폼 전략을 함께 볼 수 있음"},{"who":"프로덕트 매니저","why":"모델 능력 변화에 맞춰 제품 설계를 바꾸는 관점을 얻을 수 있음"},{"who":"엔터프라이즈 솔루션 기획자","why":"반복 업무와 표준 프로세스를 AI로 재설계하는 힌트를 줌"},{"who":"AI 개발자","why":"긴 작업 처리, 멀티모달, API 생태계 방향을 읽을 수 있음"}],"normalizedAudience":["창업자·스타트업","프로덕트 매니저·기획자","엔지니어·개발자"],"summary":"이 영상은 OpenAI 플랫폼 엔지니어링 책임자의 관점에서, 향후 12~24개월 동안 AI가 어디로 진화할지와 그에 맞춰 어떤 제품을 준비해야 하는지를 설명한다. 핵심은 모델이 더 오래, 더 일관되게 작업을 수행하게 되면서 현재의 '몇 분짜리 상호작용' 중심 제품이 '몇 시간짜리 에이전트 작업' 중심으로 바뀐다는 점이다. 특히 소프트웨어 코딩보다도 기업의 반복적인 비즈니스 프로세스 자동화와 오디오/음성 기반 업무가 큰 기회라고 본다.\n\n또한 스타트업이 OpenAI 같은 거대 랩을 지나치게 두려워할 필요가 없다고 말한다. 시장은 매우 크고, 실패하는 스타트업의 이유는 대개 대기업의 진입이 아니라 고객 반응이 약했기 때문이라는 것이다. OpenAI는 API와 생태계를 중심으로 움직이며, 내부 모델을 곧바로 API에 풀어 파트너가 쓰게 하는 방식으로 외부 창업자들을 '압박'하기보다 함께 키우는 쪽에 가깝다고 강조한다.","insights":["AI 제품은 지금보다 더 긴 작업 단위에 맞춰 재설계돼야 한다.","오디오는 과소평가된 기업용 AI 시장이다.","업무자동화의 본게임은 코딩보다 반복 프로세스다.","큰 랩보다 고객 불일치가 스타트업 실패의 주원인이다.","생태계를 키우는 플랫폼은 파트너를 먼저 죽이지 않는다."],"keyClips":[{"clipId":"B26CwKm5C1k:c5:5-18","startSegmentIndex":5,"endSegmentIndex":18,"startTime":3034.319,"endTime":3135.839,"durationSeconds":101.5,"preview":"긴 작업의 시대","mustSee":false},{"clipId":"B26CwKm5C1k:c5:19-24","startSegmentIndex":19,"endSegmentIndex":24,"startTime":3135.839,"endTime":3198,"durationSeconds":62.2,"preview":"오디오의 재평가","mustSee":false},{"clipId":"B26CwKm5C1k:c5:27-39","startSegmentIndex":27,"endSegmentIndex":39,"startTime":3227.28,"endTime":3443.839,"durationSeconds":216.6,"preview":"비즈니스 프로세스 자동화","mustSee":true},{"clipId":"B26CwKm5C1k:c5:40-53","startSegmentIndex":40,"endSegmentIndex":53,"startTime":3443.839,"endTime":3556.96,"durationSeconds":113.1,"preview":"스타트업은 크게 본다","mustSee":false},{"clipId":"B26CwKm5C1k:c5:54-60","startSegmentIndex":54,"endSegmentIndex":60,"startTime":3556.96,"endTime":3608.319,"durationSeconds":51.4,"preview":"플랫폼은 생태계다","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. 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Uh and I actually say for managers like myself, it's way easier to use these AI tools uh than to manually code at this point.","startTime":213.92000000000002,"endTime":223.12,"durationSeconds":9,"level":"B2","overallScore":4.6,"rationale":""},{"segmentIndex":40,"text":"And uh it's a little hard for us to exactly measure how much of the code is written because the vast majority of it I'd say like close to 100% is usually generated by AI first.","startTime":240.56,"endTime":251.68,"durationSeconds":11,"level":"B2","overallScore":4.4,"rationale":""},{"segmentIndex":48,"text":"Uh and the gap is widening. So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T21:33:36.550Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":6,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 7 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["openai","ai-platform","api","agents","ecosystem","developer-tools","democratization","startup","future-of-work"],"normalizedKeywords":["엔지니어링","비즈니스·전략","기술 트렌드"],"targetAudience":[{"who":"AI 개발자","why":"OpenAI API, agents SDK, eval 도구의 구조와 활용법을 이해할 수 있음"},{"who":"초기 스타트업 창업자","why":"플랫폼 위에서 사업을 만들고 AI 파도를 타는 관점을 얻을 수 있음"},{"who":"프로덕트 매니저","why":"에이전트 제품을 설계할 때 추상화 계층과 UX를 어떻게 나눌지 배울 수 있음"},{"who":"기술 관심 직장인","why":"AI가 업무와 진입 장벽을 어떻게 바꾸는지 큰 흐름을 파악하기 좋음"}],"normalizedAudience":["엔지니어·개발자","창업자·스타트업","프로덕트 매니저·기획자"],"summary":"이 영상은 OpenAI가 왜 단순한 모델 공급자가 아니라 플랫폼이 되려 하는지 설명한다. 핵심 논지는 '모델을 직접 모두 만들기보다, API와 앱 생태계를 열어 다른 사람들이 위에 사업을 짓게 해야 미션을 달성할 수 있다'는 것이다. 경쟁사를 막기보다 오히려 개방성을 유지하고, 더 많은 개발자와 기업이 ChatGPT·API 위에서 가치를 만들수록 전체 생태계와 OpenAI 자체도 함께 성장한다고 본다.\n\n또한 API 위에 쌓인 제품 레이어를 통해 무엇을 만들 수 있는지 구체적으로 소개한다. 가장 낮은 수준의 responses API부터 agents SDK, agent kit, eval 도구까지 단계적으로 추상화가 올라가며, 긴 작업을 수행하는 에이전트와 아름다운 UI, 정량적 평가를 쉽게 만들 수 있다고 말한다. 마지막에는 향후 2~3년이 기술과 스타트업 세계에서 가장 흥미로운 시기일 것이라며, 도구를 직접 써보고 한발 먼저 익숙해지라고 권한다.","insights":["플랫폼은 경쟁을 막는 힘보다 생태계를 키우는 힘이 크다.","미션이 크면 모든 걸 직접 만들기보다 남이 만들게 해야 한다.","AI의 가치는 모델 성능보다 접근성과 분배 방식에서 커진다.","추상화 계층이 높을수록 빨리 만들지만 통제력은 줄어든다.","지금은 AI를 '구경'할 때가 아니라 '적응'할 때다."],"keyClips":[{"clipId":"B26CwKm5C1k:c6:1-11","startSegmentIndex":1,"endSegmentIndex":11,"startTime":3600.309,"endTime":3727.76,"durationSeconds":127.5,"preview":"플랫폼 개방 철학","mustSee":true},{"clipId":"B26CwKm5C1k:c6:13-20","startSegmentIndex":13,"endSegmentIndex":20,"startTime":3732.16,"endTime":3785.68,"durationSeconds":53.5,"preview":"앱스토어와 생태계","mustSee":false},{"clipId":"B26CwKm5C1k:c6:23-36","startSegmentIndex":23,"endSegmentIndex":36,"startTime":3820.96,"endTime":3922.48,"durationSeconds":101.5,"preview":"AI의 민주화 논리","mustSee":false},{"clipId":"B26CwKm5C1k:c6:40-58","startSegmentIndex":40,"endSegmentIndex":58,"startTime":3937.76,"endTime":4098.239,"durationSeconds":160.5,"preview":"API 스택의 층위","mustSee":true},{"clipId":"B26CwKm5C1k:c6:61-75","startSegmentIndex":61,"endSegmentIndex":75,"startTime":4106.64,"endTime":4198.719,"durationSeconds":92.1,"preview":"지금이 가장 재밌다","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. 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So I feel like you know the people who are opening more PRs um are starting to you know learn how to use the tool more and more get more efficient and that 70% gap keeps uh growing over time and so might have actually increased since I last looked at the number.","startTime":293.68,"endTime":307.759,"durationSeconds":14,"level":"B2","overallScore":4.4,"rationale":""}],"generatedAt":"2026-07-06T21:33:48.609Z","keyClipsTotalSec":1666},{"videoId":"B26CwKm5C1k","chunkIndex":7,"totalChunks":8,"title":"OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu — Part 8 of 8","thumbnail":"https://i.ytimg.com/vi/B26CwKm5C1k/maxresdefault.jpg","duration":4779,"uploader":"Lenny's Podcast","youtubeUrl":"https://www.youtube.com/watch?v=B26CwKm5C1k","keywords":["artificial-intelligence","platform-engineering","productivity","career-growth","tech-trends","software-tools","books","consumer-tech"],"normalizedKeywords":["기술 트렌드","커리어·성장","리더십·매니지먼트"],"targetAudience":[{"who":"엔지니어","why":"AI 도구를 가볍게 써보고 업무 흐름에 붙이는 방법을 배울 수 있음"},{"who":"지식노동자","why":"정보 과부하 속에서 무엇을 따라가야 하는지 정리하는 데 도움됨"},{"who":"스타트업 창업자","why":"새 도구와 기술 변화를 적은 노력으로 검증하는 태도가 유용함"}],"normalizedAudience":["엔지니어·개발자","지식노동자 일반","창업자·스타트업"],"summary":"이 영상은 급변하는 AI 시대에 어떻게 과도한 불안에 휩쓸리지 않고 따라갈지에 대한 실용적인 태도를 전한다. 화자는 모든 뉴스를 다 알 필요는 없고, 소수의 도구를 직접 써보며 작은 범위에서 시작하는 것이 더 중요하다고 말한다. 또한 AI를 이해하는 가장 좋은 방법은 설치하고, 자신의 데이터 소스와 연결해 보며 실제 한계를 체험하는 것이라고 강조한다.\n\n후반부에서는 추천 도서, 최근 즐긴 애니메이션, 최근 인상 깊었던 제품, 그리고 삶의 태도까지 가볍게 공유한다. 책과 제품 선택에서도 화자는 단순한 유명세보다 새로움, 완성도, 실제 사용 경험을 중시한다. 전반적으로 이 영상은 AI 시대의 학습법과 기술을 대하는 마음가짐, 그리고 좋은 제품을 알아보는 감각을 엿볼 수 있게 한다.","insights":["정보 과부하는 '모두 알기'가 아니라 '직접 써보기'로 줄인다.","새 기술은 뉴스보다 소수의 도구를 만져보며 익히는 게 빠르다.","좋은 제품은 하드웨어보다 소프트웨어 경험이 완성한다.","불안할수록 '내가 통제 가능한 범위'에 집중해야 한다."],"keyClips":[{"clipId":"B26CwKm5C1k:c7:6-12","startSegmentIndex":6,"endSegmentIndex":12,"startTime":4226.4,"endTime":4296.48,"durationSeconds":70.1,"preview":"AI는 직접 써봐야 한다","mustSee":true},{"clipId":"B26CwKm5C1k:c7:16-36","startSegmentIndex":16,"endSegmentIndex":36,"startTime":4310.32,"endTime":4419.36,"durationSeconds":109,"preview":"책이 드러내는 관점","mustSee":false},{"clipId":"B26CwKm5C1k:c7:41-60","startSegmentIndex":41,"endSegmentIndex":60,"startTime":4433.84,"endTime":4553.76,"durationSeconds":119.9,"preview":"제품은 경험이 전부다","mustSee":true},{"clipId":"B26CwKm5C1k:c7:62-75","startSegmentIndex":62,"endSegmentIndex":75,"startTime":4560.32,"endTime":4698.239,"durationSeconds":137.9,"preview":"자기연민을 버리는 태도","mustSee":false},{"clipId":"B26CwKm5C1k:c7:64-78","startSegmentIndex":64,"endSegmentIndex":78,"startTime":4582.4,"endTime":4718.48,"durationSeconds":136.1,"preview":"집값을 바꾸는 숨은 변수","mustSee":false}],"curatedSegments":[{"segmentIndex":1,"text":"95% of engineers use Codex. 100% of our PRs are reviewed by Codex for engineers. 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