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8 diapositivas18:27EN
AI Engineer· 26 oct 2026Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.Code review & verificationAgentes de programaciónFlujos de desarrollo y pruebas+2
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 12 mar 2024PódcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Presenta: 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.Agentes de programaciónFlujos de desarrollo y pruebasCode review & verification+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· 29 nov 2023PódcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidPresenta: 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.Agentes de programaciónVibe CodingFlujos de desarrollo y pruebas+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
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
1:21:34EN
Lenny's PodcastPódcastGitLab’s Public-by-Default Playbook: Short Toes, Clear Outcomes, and a Platform Built to ShipPresenta: Lenny RachitskyDavid DeSanto explains how GitLab turns radical transparency, remote-first operations, and breadth-then-depth product strategy into a faster DevSecOps platform.Empresa y estrategiaProduct LeadershipCompany Building+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
1:19:48EN
Lex FridmanPódcastBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep LearningPresenta: 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.Modelos y entrenamientoFundamentos de MLDeep Learning+3
17:32EN
Lex 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.Software engineeringFlujos de desarrollo y pruebasWorkflow automation+3