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1:23:15EN
Lenny's PodcastPódcast · 2 vocesCamille Fournier on Rewrites, One-on-Ones and Building Platform TeamsInvitado: Camille Fournier · Presenta: 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 PodcastPódcast · 2 vocesDevin's Scott Wu on Building an AI Software Engineer and Turning Coders into ArchitectsInvitado: Scott Wu · Presenta: 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, & StartupsPódcast · 2 vocesDon't Mistake a Month of Hype for the End of SoftwarePresenta: 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 PodcastPódcast · 2 vocesFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraInvitado: Nicole Forsgren · Presenta: 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 PodcastPódcast · 2 vocesEngineering Leadership After ZIRP: Strategy, Systems and AccountabilityInvitado: Will Larson · Presenta: 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"PódcastThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on ScalingPresenta: 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 FridmanPódcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathPresenta: 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.
40:25ENLex FridmanPódcastA Language That Knows the World: Stephen Wolfram on Computable KnowledgePresenta: 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.
1:45:10ENLenny's PodcastPódcast · 2 vocesShape Up in Real Life: Fixed Time, Variable Scope, and the Shaping Session That Makes It WorkInvitado: Ryan Singer · Presenta: 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 PodcastPódcast · 2 vocesDo More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by DoingInvitado: Farhan Thawar · Presenta: 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.
1:19:39ENLenny's PodcastPódcastEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsPresenta: 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.