絞り込み結果
20 件並び順
1:25:13EN
Lenny's PodcastポッドキャストCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammateホスト 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 PodcastポッドキャストAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disasterホスト 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 Podcastポッドキャスト · 2 人Camille Fournier on Rewrites, One-on-Ones and Building Platform Teamsゲスト Camille Fournier · ホスト 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 Podcastポッドキャスト · 2 人Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architectsゲスト Scott Wu · ホスト 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 PodcastポッドキャストCopilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Developmentホスト 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 Podcastポッドキャスト · 2 人Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Eraゲスト Nicole Forsgren · ホスト 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 Podcastポッドキャスト · 2 人From Arctic Code Vault to Autocomplete: How GitHub Copilot Went From Moonshot to Productゲスト Ryan J. Salva · ホスト 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 Podcastポッドキャスト · 2 人Engineering Leadership After ZIRP: Strategy, Systems and Accountabilityゲスト Will Larson · ホスト 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 PodcastポッドキャストWhen Coding Stops Being the Bottleneck: Inside Anthropic's Claude Code and Cowork Teamsホスト 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 PodcastポッドキャストCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes Nextホスト 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 PodcastポッドキャストMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI Eraホスト 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 PodcastポッドキャストWhen Anyone Can Build Anything, Taste Becomes the Product Jobホスト 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 Podcastポッドキャスト · 2 人Inside Block's AI-Native Bet: Goose, Functional Orgs and Throwing Code Awayゲスト Dhanji R. Prasanna · ホスト 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 PodcastポッドキャストAfter Code: Cursor's CEO on Logic Design, Custom Models and Why One Winner Will Take the Marketホスト 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 Podcastポッドキャスト · 2 人Do More Per Minute: Shopify's Farhan Thawar on Intensity, Hard Paths and Hiring by Doingゲスト Farhan Thawar · ホスト 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 Podcastポッドキャスト · 2 人A Developer in Your Pocket: Replit's Amjad Masad on What Happens When Everyone Can Build Softwareゲスト Amjad Masad · ホスト 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 PodcastポッドキャストEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Monthsホスト 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 PodcastポッドキャストWindsurf's Bet: Build the IDE That Makes Today's IDE Look Dumbホスト 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 Podcastポッドキャスト · 2 人Shipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code Workflowゲスト Zevi Arnovitz · ホスト 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 PodcastポッドキャストThe Genie Has Three Wishes: How a Non-Coder Became Lovable's Professional Vibe Coderホスト 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.