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23 件
並び順
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月27日ポッドキャストHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repoホスト Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.コーディングエージェントコンテキストエンジニアリング検索拡張生成(RAG)+3
1:24:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月9日ポッドキャストStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.ホスト Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.コーディングエージェントVibe CodingProduct Strategy+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月31日ポッドキャストGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.ホスト Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.プロダクトと UX検索拡張生成(RAG)AI cost & performance+3
1:05:52EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月3日ポッドキャストInfinite AI Interns Are Already on the Jobホスト Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.エージェントAI StrategyHuman-AI Collaboration+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月12日ポッドキャストWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%ホスト 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.コーディングエージェント開発ワークフローとテストCode review & verification+3
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月8日ポッドキャストUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer Intelligenceホスト Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.コーディングエージェントDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月4日ポッドキャストReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring Botsホスト Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.コーディングエージェントDeveloper productivityProduct Strategy+3
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.コーディングエージェントCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny'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.コーディングエージェントエージェント工学Prompt injection+3
1:11:06EN
Unsupervised Learning: With Jacob EffronポッドキャストReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creatorsホスト 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.プロダクトと UXコーディングエージェントVibe Coding+3
1:04:25EN
Unsupervised Learning: With Jacob EffronポッドキャストInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Enduresホスト 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.コーディングエージェントDeveloper productivityAI Product Management+3
50:03EN
Lenny'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.コーディングエージェントDeveloper productivityProduct Strategy+3
1:38:45EN
Lenny'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.コーディングエージェントAI エンジニアリングのリーダーシップDeveloper productivity+3
1:36:57EN
Unsupervised Learning: With Jacob EffronポッドキャストDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistantホスト 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.コーディングエージェント評価(Evals)検索拡張生成(RAG)+3
1:27:45EN
Lenny'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.コーディングエージェントエージェント工学Developer productivity+3
1:07:48EN
Lenny'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.評価とオブザーバビリティDeveloper productivity開発ワークフローとテスト+3
1:41:26EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scalingホスト 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.企業と戦略コーディングエージェントAI Strategy+3
1:09:56EN
Lenny'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.コーディングエージェントProduct StrategyAI Product Management+3
1:11:13EN
Lenny'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.コーディングエージェントCompany BuildingAI startups & small teams+3
1:02:06EN
Lex FridmanポッドキャストLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト 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.モデルと学習インフラとデプロイOpen-source ecosystems+3
1:19:39EN
Lenny'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.コーディングエージェントAgent orchestrationDeveloper productivity+3
1:14:06EN
Lenny'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.コーディングエージェントCompany BuildingAI startups & small teams+3
1:42:30EN
Lenny'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.コーディングエージェントVibe CodingDeveloper productivity+3