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1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 4 ene 2026PódcastAn Index Fund on AGI: How MATS Filters the Next 120 AI Safety ResearchersPresenta: Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.SeguridadSeguridad y gobernanzaAI research+3
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 5 oct 2023PódcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersPresenta: Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.Empresa y estrategiaIngeniería de agentesAgentes de programación+3
1:26:22EN
Lenny's PodcastPódcastStart Small, Earn Autonomy: What 50+ AI Product Deployments Taught Two BuildersPresenta: Lenny RachitskyAishwarya Naresh Reganti and Kiriti Badam explain why AI products need a different build process, and how to grow agent autonomy step by step without losing customer trust.Producto y UXProduct StrategyAI Product Management+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
1:34:57EN
Lenny's PodcastPódcast · 2 vocesFifteen People, Four Products, Zero Handwritten Code: Inside Every's AI-First CompanyInvitado: Dan Shipper · Presenta: Lenny RachitskyEvery CEO Dan Shipper explains how his small team uses Claude Code, an AI operations lead and compounding engineering to do the work of a much larger company.Empresa y estrategiaAI StrategyLiderazgo en ingeniería de IA+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
1:27:45EN
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
1:26:42EN
Lenny's PodcastPódcast · 2 vocesInside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code AwayInvitado: Dhanji R. Prasanna · Presenta: Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.Empresa y estrategiaIA empresarialIngeniería de agentes+3
1:30:00EN
Lenny's PodcastPódcast · 2 vocesInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute DeploysInvitado: David Singleton · Presenta: Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.Producto y UXProduct engineeringCompany Building+3
1:14:34EN
Lenny's PodcastPódcast · 2 vocesInside the Frontier Lab: How Karina Nguyen Builds Products by Training the ModelInvitado: Karina Nguyen · Presenta: Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.Producto y UXPost-trainingSynthetic data+3
1:46:33EN
Lenny's PodcastPódcast · 3 vocesFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsInvitado: Hamel Husain, Shreya Shankar · Presenta: Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.Evaluaciones y observabilidadEvaluacionesLiderazgo en ingeniería de IA+3
1:19:39EN
Lenny'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.Agentes de programaciónAgent orchestrationDeveloper productivity+3