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54개정렬
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 30일팟캐스트 · 2명Every 10 Milliseconds Cost Copilot 1% of Completions진행자 Sarah Guo, Elad GilGitHub Copilot's chief architect, Alex Graveley, walks through how a leftover code model with a sub-10% test pass rate became a product developers would not quit — and what he is building next at Minion AI.
3:15:51EN
Lex Fridman· 2022년 11월 26일팟캐스트 · 2명Python Is a Recipe Written for Two Readers게스트 Guido van Rossum · 진행자 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
3:08:32ENLex Fridman· 2021년 3월 4일팟캐스트 · 2명Ninety Minutes With the Door Shut: Cal Newport on Deep Work, Email, and a Life Built for the Worst Case게스트 Cal Newport · 진행자 Lex FridmanThe Georgetown computer scientist talks with Lex Fridman about attention, digital minimalism, a world without email, and why relationships are the only honest worst-case analysis.
2:46:57ENLex Fridman· 2020년 10월 18일팟캐스트 · 2명Programming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 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.
1:10:58ENLex Fridman· 2019년 6월 3일팟캐스트 · 2명The Hadoop Lesson That Made Google Give TensorFlow Away게스트 Rajat Monga · 진행자 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.
1:25:13EN
Lenny's Podcast팟캐스트Codex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammate진행자 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.
1:39:51ENLenny's Podcast팟캐스트After the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disaster진행자 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.
1:11:06EN
Unsupervised Learning: With Jacob Effron팟캐스트Replit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creators진행자 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.
1:04:25ENUnsupervised Learning: With Jacob Effron팟캐스트Inside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Endures진행자 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.
1:23:15ENLenny's Podcast팟캐스트 · 2명Camille Fournier on Rewrites, One-on-Ones and Building Platform Teams게스트 Camille Fournier · 진행자 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.
1:32:32ENLenny's Podcast팟캐스트 · 2명Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architects게스트 Scott Wu · 진행자 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.
50:03ENLenny's Podcast팟캐스트Copilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Development진행자 Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.
1:16:17ENLenny's Podcast팟캐스트 · 2명Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Era게스트 Nicole Forsgren · 진행자 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.
1:05:00ENLenny's Podcast팟캐스트 · 2명From Arctic Code Vault to Autocomplete: How GitHub Copilot Went From Moonshot to Product게스트 Ryan J. Salva · 진행자 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.
1:16:53ENLenny's Podcast팟캐스트 · 2명Engineering Leadership After ZIRP: Strategy, Systems and Accountability게스트 Will Larson · 진행자 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.
1:38:45ENLenny's Podcast팟캐스트When Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork Teams진행자 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.
1:36:57ENUnsupervised Learning: With Jacob Effron팟캐스트Do the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistant진행자 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.
1:27:45ENLenny's Podcast팟캐스트Coding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes Next진행자 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.
1:07:48ENLenny's Podcast팟캐스트Most Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI Era진행자 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.
1:41:26EN
Cognitive Revolution "How AI Changes Everything"팟캐스트The AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scaling진행자 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.
1:09:56ENLenny's Podcast팟캐스트When Anyone Can Build Anything, Taste Becomes the Product Job진행자 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.
1:26:42ENLenny's Podcast팟캐스트 · 2명Inside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code Away게스트 Dhanji R. Prasanna · 진행자 Lenny RachitskyBlock CTO Dhanji Prasanna explains how a reorg, an open-source agent and a learning-first culture made the company unusually AI-forward.
1:11:13ENLenny's Podcast팟캐스트After Code: Cursor's CEO on Logic Design, Custom Models and Why One Winner Will Take the Market진행자 Lenny RachitskyMichael Truell explains how Cursor went from a mechanical-engineering pivot to a $300M ARR product, and where he thinks programming is heading.
1:02:06ENLex Fridman팟캐스트Learning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits진행자 Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.더 보기54개 중 24개 표시