필터 결과
40개정렬
1:19:25EN
Lenny's Podcast팟캐스트Inside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMs진행자 Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.
1:23:15ENLenny's Podcast팟캐스트 · 2명Camille Fournier on Rewrites, One-on-Ones and Building Platform Teams게스트 Camille Fournier · 진행자 Lenny RachitskyThe author of The Manager's Path explains what annoys engineers about PMs, why rewrites are a trap, how to move into management, and what makes platform teams work.
1:32:32ENLenny's Podcast팟캐스트 · 2명Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architects게스트 Scott Wu · 진행자 Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
40:42EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Don't Mistake a Month of Hype for the End of Software진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil separate the SaaS-apocalypse noise from the real signals: record revenue ramps, collapsing token prices, and the question of when a founder should sell.
1:16:17ENLenny's Podcast팟캐스트 · 2명Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Era게스트 Nicole Forsgren · 진행자 Lenny RachitskyThe creator of DORA and SPACE explains why most productivity metrics mislead, how AI changes flow and trust, and how to build a developer experience program that proves its value.
1:16:53ENLenny's Podcast팟캐스트 · 2명Engineering Leadership After ZIRP: Strategy, Systems and Accountability게스트 Will Larson · 진행자 Lenny RachitskyCarta CTO Will Larson on how engineering management changed after the zero-interest-rate era, and the habits he relies on now: systems models, written strategy, shared incentives and honest values.
1:41:26EN
Cognitive Revolution "How AI Changes Everything"팟캐스트The AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scaling진행자 Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
1:03:25EN
Lex Fridman팟캐스트Theano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math진행자 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
10:24ENLex Fridman팟캐스트 · 2명Concepts: How C++ Finally Got Compile-Time Constraints on Templates게스트 Bjarne Stroustrup · 진행자 Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
40:25ENLex Fridman팟캐스트A Language That Knows the World: Stephen Wolfram on Computable Knowledge진행자 Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.
14:47ENLex Fridman팟캐스트 · 2명Build Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and Lisp게스트 Bjarne Stroustrup · 진행자 Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.
1:45:10ENLenny's Podcast팟캐스트 · 2명Shape Up in Real Life: Fixed Time, Variable Scope, and the Shaping Session That Makes It Work게스트 Ryan Singer · 진행자 Lenny RachitskyRyan Singer, author of Shape Up, explains appetites, six-week time boxes and live shaping sessions, and why copying Basecamp's method without its conditions fails.
1:40:03ENLenny's Podcast팟캐스트 · 2명Do More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by Doing게스트 Farhan Thawar · 진행자 Lenny RachitskyShopify's head of engineering explains how pair programming, relentless check-ins, deleted code and job trials keep a 10,000-person company moving fast.
17:32ENLex 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.
1:19:39ENLenny's Podcast팟캐스트Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months진행자 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.
11:59ENLex Fridman팟캐스트 · 2명From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be게스트 François Chollet · 진행자 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.