Resultados
42 artículosOrdenar
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.
10:24ENLex FridmanPódcast · 2 vocesConcepts: How C++ Finally Got Compile-Time Constraints on TemplatesInvitado: Bjarne Stroustrup · Presenta: 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 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.
14:47ENLex FridmanPódcast · 2 vocesBuild Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and LispInvitado: Bjarne Stroustrup · Presenta: 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 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.
17:32ENLex FridmanPódcastOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming MemesPresenta: 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 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.
11:59ENLex FridmanPódcast · 2 vocesFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvitado: François Chollet · Presenta: 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.