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2:46:57EN
Lex Fridman· 18 oct 2020Pódcast · 2 vocesProgramming Languages Are Bicycles for the MindInvitado: Chris Lattner · Presenta: Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.Infraestructura y despliegueProgramming LanguagesSoftware engineering+3
59:33EN
JSJane Street· 7 oct 2020Laurent Mazare on Python, OCaml and Machine LearningRon Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.Programming LanguagesMachine LearningSoftware engineering+1
2 diapositivas1:23:49EN
JSJane Street· 31 ene 2020Steve Lee on PowerShell 7: Compatibility, New Features and the RoadmapSteve Lee · MicrosoftA historical look at the move from Windows PowerShell to cross-platform PowerShell, including demonstrations of the version 7 preview and its compatibility trade-offs.Software engineeringDeveloper productivityFlujos de desarrollo y pruebas
1:10:58EN
Lex Fridman· 3 jun 2019Pódcast · 2 vocesThe Hadoop Lesson That Made Google Give TensorFlow AwayInvitado: Rajat Monga · Presenta: Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.Código abierto y comunidadOpen-source ecosystemsCommunity building+3
1:03:45EN
JSJane Street· 7 dic 2018Jane Street and the OCaml CompilerRon Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.Programming LanguagesSoftware engineeringDeveloper productivity+1
9 diapositivas1:14:23EN
JSJane Street· 24 ago 2018Cristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.Programming LanguagesSoftware engineeringDeveloper productivity+1
3 diapositivas1:06:39EN
JSJane Street· 31 mar 2016Why Jane Street Uses OCamlA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
2 diapositivas1:04:56EN
JSJane Street· 31 mar 2016Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.Programming LanguagesSoftware engineeringDeveloper productivity
1:25:13EN
Lenny's PodcastPódcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammatePresenta: Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.Agentes de programaciónCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny's PodcastPódcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterPresenta: Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.Agentes de programaciónIngeniería de agentesPrompt injection+3
1:11:06EN
Unsupervised Learning: With Jacob EffronPódcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsPresenta: Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.Producto y UXAgentes de programaciónVibe Coding+3
1:04:25EN
Unsupervised Learning: With Jacob EffronPódcastInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job EnduresPresenta: Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.Agentes de programaciónDeveloper productivityAI Product Management+3
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.Producto y UXProduct ManagementProduct Leadership+3
1:32:32EN
Lenny'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.Agentes de programaciónSoftware engineeringDeveloper productivity+3
50:03EN
Lenny's PodcastPódcastCopilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software DevelopmentPresenta: Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.Agentes de programaciónDeveloper productivityProduct Strategy+3
1:16:17EN
Lenny'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.Evaluaciones y observabilidadDeveloper productivityEvaluaciones+3
1:05:00EN
Lenny's PodcastPódcast · 2 vocesFrom Arctic Code Vault to Autocomplete: How GitHub Copilot Went From Moonshot to ProductInvitado: Ryan J. Salva · Presenta: Lenny RachitskyGitHub VP of product Ryan J. Salva explains how a small research team's experiment became Copilot, and what it took to scale it responsibly.Agentes de programaciónAI Product ManagementDeveloper productivity+3
1:16:53EN
Lenny'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.Empresa y estrategiaLeadershipDeveloper productivity+3
1:38:45EN
Lenny's PodcastPódcastWhen Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork TeamsPresenta: Lenny RachitskyFiona Fung, who leads the teams behind Claude Code and Cowork, describes how an engineering org that ships roughly eight times more code manages quality, hiring, metrics and culture.Agentes de programaciónLiderazgo en ingeniería de IADeveloper productivity+3
1:36:57EN
Unsupervised Learning: With Jacob EffronPódcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantPresenta: Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.Agentes de programaciónEvaluacionesGeneración aumentada por recuperación+3
1:27:45EN
Lenny's PodcastPódcastCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes NextPresenta: Lenny RachitskyBoris Cherny, head of Claude Code at Anthropic, on the tool's origin, the principle of latent demand, and how work changes when engineers stop writing code by hand.Agentes de programaciónIngeniería de agentesDeveloper productivity+3
1:07:48EN
Lenny's PodcastPódcastMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI EraPresenta: 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.Evaluaciones y observabilidadDeveloper productivityFlujos de desarrollo y pruebas+3
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.Empresa y estrategiaAgentes de programaciónAI Strategy+3
1:09:56EN
Lenny's PodcastPódcastWhen Anyone Can Build Anything, Taste Becomes the Product JobPresenta: Lenny RachitskyCodex desktop lead Andrew Ambrosino on how AI has inverted product development, why roles are blurring but shouldn't vanish, and where Codex and ChatGPT are headed.Agentes de programaciónProduct StrategyAI Product Management+3
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