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1:19:25ENInside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMsHost 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.
1:23:15ENCamille Fournier on Rewrites, One-on-Ones and Building Platform TeamsGuest Camille Fournier · Host 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.
1:32:32ENDevin's Scott Wu on Building an AI Software Engineer and Turning Coders into ArchitectsGuest Scott Wu · Host 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.
40:42ENDon't Mistake a Month of Hype for the End of SoftwareHost 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.
1:16:17ENFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraGuest Nicole Forsgren · Host 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.
1:16:53ENEngineering Leadership After ZIRP: Strategy, Systems and AccountabilityGuest Will Larson · Host 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.
1:41:26ENThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on ScalingHost 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.
1:03:25ENTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathHost 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.
10:24ENConcepts: How C++ Finally Got Compile-Time Constraints on TemplatesGuest Bjarne Stroustrup · Host Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
40:25ENA Language That Knows the World: Stephen Wolfram on Computable KnowledgeHost 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.
14:47ENBuild Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and LispGuest Bjarne Stroustrup · Host Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.
1:45:10ENShape Up in Real Life: Fixed Time, Variable Scope, and the Shaping Session That Makes It WorkGuest Ryan Singer · Host 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.
1:40:03ENDo More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by DoingGuest Farhan Thawar · Host 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.
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming MemesHost 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.
1:19:39ENEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsHost 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.
11:59ENFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeGuest François Chollet · Host 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.









