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1:25:10EN
Cognitive Revolution "How AI Changes Everything"· Mar 12, 2024PodcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Host Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.Coding agentsDeveloper workflows & testingCode review & verification+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· Nov 29, 2023PodcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidHost Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.Coding agentsVibe CodingDeveloper workflows & testing+3
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· Oct 5, 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersHost 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.Enterprise & strategyAgent engineeringCoding agents+3
50:03EN
Lenny's PodcastPodcastCopilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software DevelopmentHost Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.Coding agentsDeveloper productivityProduct Strategy+3
1:21:34EN
Lenny's PodcastPodcastGitLab’s Public-by-Default Playbook: Short Toes, Clear Outcomes, and a Platform Built to ShipHost Lenny RachitskyDavid DeSanto explains how GitLab turns radical transparency, remote-first operations, and breadth-then-depth product strategy into a faster DevSecOps platform.Enterprise & strategyProduct LeadershipCompany Building+3
1:07:48EN
Lenny's PodcastPodcastMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI EraHost 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.Evals & observabilityDeveloper productivityDeveloper workflows & testing+3
1:19:48EN
Lex FridmanPodcastBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep LearningHost Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.Models & trainingML fundamentalsDeep Learning+3