최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

25개
정렬
슬라이드 5장34:11EN
GOTO Conferences· 2026년 10월 23일Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.개발 워크플로와 테스트Code review & verification관측 가능성과 안정성+2
슬라이드 38장1:01:33EN
DeepLearningAI· 2026년 9월 22일Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.코딩 에이전트Agent skills개발 워크플로와 테스트+2
40:13EN
Sequoia Capital· 2025년 12월 2일팟캐스트As long as humans still need to read code, the IDE is not dyingZed founder Nathan Sobo argues that source code is a language for people, that terminal agents still need a visual editor, and that conversations should be anchored to every edit.코딩 에이전트개발 워크플로와 테스트Product Strategy+3
27:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 23일팟캐스트 · 2명The Turing Test Passed. Warp's CEO Says Nobody Seemed to Care진행자 Sarah Guo, Elad GilZach Lloyd on distilling intelligence without consciousness, why a 40-year-old terminal is the front door for coding agents, and why senior engineers just got more expensive.코딩 에이전트개발 워크플로와 테스트에이전트 엔지니어링+3
37:45EN
Sequoia Capital· 2025년 6월 10일팟캐스트Codex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.코딩 에이전트Agent orchestration개발 워크플로와 테스트+3
5:20:08EN
Lex Fridman· 2025년 3월 22일팟캐스트 · 2명ThePrimeagen Would Rather Redesign the Room Than Trust Willpower게스트 ThePrimeagen · 진행자 Lex FridmanLex Fridman talks with Michael Paulson about linked lists, Netflix, Neovim, ADHD, addiction, AI, and the night he says God gave him a conscience.오픈소스와 커뮤니티코딩 에이전트Developer productivity+3
50:35EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 3월 13일팟캐스트 · 2명Copilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to Clear진행자 Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.코딩 에이전트개발 워크플로와 테스트에이전트 엔지니어링+3
54:47EN
Sequoia Capital· 2025년 2월 4일팟캐스트Ninety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.제품과 UXProduct StrategyAI interface design+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 8일팟캐스트 · 2명Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.진행자 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.평가와 관측 가능성평가(Evals)검색 증강 생성(RAG)+3
2:29:04EN
Lex Fridman· 2024년 10월 6일팟캐스트 · 2명Keep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy Editing게스트 Cursor Team · 진행자 Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.코딩 에이전트개발 워크플로와 테스트AI interface design+3
59:11EN
Sequoia Capital· 2024년 6월 25일팟캐스트Don't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 12일팟캐스트Writing Code Is Only 30% of the Job. CodiumAI Wants the Other 70%진행자 Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.코딩 에이전트개발 워크플로와 테스트Code review & verification+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 29일팟캐스트After 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch Did진행자 Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.코딩 에이전트Vibe Coding개발 워크플로와 테스트+3
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 5일팟캐스트There are maybe 5,000 people who can train frontier models. The rest need AI engineers진행자 Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.기업과 전략에이전트 엔지니어링코딩 에이전트+3
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 31일팟캐스트 · 2명ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Model진행자 Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.인프라와 배포개발 워크플로와 테스트관측 가능성과 안정성+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 3일팟캐스트 · 2명Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customers진행자 Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.평가와 관측 가능성관측 가능성과 안정성개발 워크플로와 테스트+3
50:03EN
Lenny's Podcast팟캐스트Copilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Development진행자 Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.코딩 에이전트Developer productivityProduct Strategy+3
1:21:34EN
Lenny's Podcast팟캐스트GitLab’s Public-by-Default Playbook: Short Toes, Clear Outcomes, and a Platform Built to Ship진행자 Lenny RachitskyDavid DeSanto explains how GitLab turns radical transparency, remote-first operations, and breadth-then-depth product strategy into a faster DevSecOps platform.기업과 전략Product LeadershipCompany Building+3
1:08:07EN
Lenny's Podcast팟캐스트 · 2명Context Is All You Need: Inside OpenAI with Logan Kilpatrick게스트 Logan Kilpatrick · 진행자 Lenny RachitskyOpenAI's head of developer relations on GPTs, prompting, how the company ships fast, and where startups can build without being steamrolled.기업과 전략Prompting & in-context learningAI startups & small teams+3
1:07:48EN
Lenny's Podcast팟캐스트Most Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI Era진행자 Lenny RachitskyThe creator of DORA and SPACE explains why lines of code and old pipeline metrics fall short with AI, and how to start improving developer experience by listening, surveying and tying results to what leaders care about.평가와 관측 가능성Developer productivity개발 워크플로와 테스트+3
1:19:48EN
Lex Fridman팟캐스트Bigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep Learning진행자 Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.모델과 학습머신러닝 기초Deep Learning+3
1:30:00EN
Lenny's Podcast팟캐스트 · 2명Inside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute Deploys게스트 David Singleton · 진행자 Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.제품과 UXProduct engineeringCompany Building+3
17:32EN
Lex Fridman팟캐스트Over-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes진행자 Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.Software engineering개발 워크플로와 테스트Workflow automation+3
1:15:13EN
Lenny's Podcast팟캐스트 · 2명Shipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code Workflow게스트 Zevi Arnovitz · 진행자 Lenny RachitskyZevi Arnovitz, a product manager with no technical background, walks Lenny Rachitsky through the slash-command workflow he uses to build and ship products with AI.코딩 에이전트Vibe CodingCode review & verification+3
더 보기25개 중 24개 표시