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1:25:13EN
Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateHost 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.Coding agentsCode review & verificationDeveloper productivity+3
1:33:50EN
Lenny's PodcastPodcastEvals Are the New PRDs: Inside Anthropic's Research Product TeamHost Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.Product & UXAI Product ManagementProduct Strategy+3
1:31:41EN
Lenny's PodcastPodcast · 2 speakersThe Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's PaceGuest Kevin Weil · Host Lenny RachitskyOpenAI's chief product officer explains how evals, light planning, fine-tuned model ensembles and a small PM team shape the way the company ships.Product & UXProduct LeadershipAI Product Management+3
1:22:36EN
Lenny's PodcastPodcast · 2 speakersStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterGuest Chip Huyen · Host Lenny RachitskyAuthor of AI Engineering walks through pre-training, post-training, RL, evals and RAG, then explains what separates companies that get value from AI from those that stall.Product & UXFine-tuningRetrieval-augmented generation+3
1:07:08EN
Lenny's PodcastPodcast · 2 speakersIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseGuest Brendan Foody · Host Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.Evals & observabilityEvalsData quality & curation+3
1:16:17EN
Lenny's PodcastPodcast · 2 speakersFaster, 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.Evals & observabilityDeveloper productivityEvals+3
1:24:01EN
Lenny's PodcastPodcastFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models SmarterHost Lenny RachitskyJason Droege explains what really happened with Meta's investment in Scale AI, how data labeling turned into expert work, and what Uber Eats taught him about building businesses.Models & trainingCompany BuildingData quality & curation+3
1:25:34EN
Lenny's PodcastPodcastShipping in Days: How Claude Code's Head of Product Runs a Team at AI SpeedHost Lenny RachitskyCat Wu, Head of Product for Claude Code and Cowork at Anthropic, explains how the PM role, hiring, tooling and culture change when features go from idea to users in a week or less.Coding agentsProduct ManagementAI Product Management+3
1:46:33EN
Lenny's PodcastPodcast · 3 speakersFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsGuest Hamel Husain, Shreya Shankar · Host Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.Evals & observabilityEvalsAI engineering leadership+3