필터 결과
20개정렬
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.
1:23:15ENLenny'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.
1:27:45ENLenny'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.
1:09:56ENLenny'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.
1:40:03ENLenny's Podcast팟캐스트 · 2명Do More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by Doing게스트 Farhan Thawar · 진행자 Lenny RachitskyShopify's head of engineering explains how pair programming, relentless check-ins, deleted code and job trials keep a 10,000-person company moving fast.
1:04:09ENLenny's Podcast팟캐스트 · 2명A Developer in Your Pocket: Replit's Amjad Masad on What Happens When Everyone Can Build Software게스트 Amjad Masad · 진행자 Lenny RachitskyReplit's co-founder demos an agent that builds a full-stack app in minutes, then explains what it means for product managers, designers, engineers and founders.
1:19:39ENLenny's Podcast팟캐스트Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months진행자 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.
1:14:06ENLenny's Podcast팟캐스트Windsurf's Bet: Build the IDE That Makes Today's IDE Look Dumb진행자 Lenny RachitskyVarun Mohan explains how Windsurf pivoted from GPU infrastructure to an agentic code editor, why it forked VS Code, and how he thinks about models, hiring, enterprise sales, and the future of software work.
1:15:13ENLenny's Podcast팟캐스트 · 2명Shipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code Workflow게스트 Zevi Arnovitz · 진행자 Lenny RachitskyZevi Arnovitz, a product manager with no technical background, walks Lenny Rachitsky through the slash-command workflow he uses to build and ship products with AI.
1:42:30ENLenny's Podcast팟캐스트The Genie Has Three Wishes: How a Non-Coder Became Lovable's Professional Vibe Coder진행자 Lenny RachitskyLazar Jovanovic explains the planning files, parallel prototypes and debugging routine he uses to ship production software with AI, and why judgment and taste now matter more than code.