Podcasts about developer tools

At Snap's Developer Conference of Lensfest, I did an interview with Terek Judi who is working on Spectacles Product at Snap focusing on SnapOS, Platform, and Developer Tools. See more context in the rough transcript below, and if you'd like to check out the two interviews with Matt Hargett that I reference in the intro, then be sure to check out epsiode #1311 and episode #1660. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Marc Klingen, Gründer von Langfuse, spricht über den Weg von der ersten Produktidee zu zahlenden Kunden. Er teilt, warum sie Prototypen in 14 Tagen bau(t)en, wie sie durch GitHub-Signale die richtigen Early Adopter finden und warum bei Developer Tools echtes Produkt besser als Pitch Decks funktioniert. Was du lernst: Wie du schnell testbare Prototypen baust Die richtige Zielgruppe identifizieren Warum Produkt über Pitch gewinnt Den richtigen Ansatz für Developer finden ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch  Mehr zu Marc: LinkedIn: https://www.linkedin.com/in/marcklingen  Website: https://langfuse.com/  Mehr zu Co-Host Mike: LinkedIn: https://www.linkedin.com/in/mikemahlkow/  Website: https://fastgen.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ 

Here's a jaunty debrief from PopTech, a notoriously hard conference to describe, that always features obscenely talented entrepreneurs and changemakers.In this episode, Kwaku Aning, Sarah Rose Siskind, and I share some of the great stories and great vibes from this year's conference, including:FetusGPT, Sarah's madcap experiment to train an AI on everything her soon-to-be-born baby is hearing from inside the wombWhy Colossal Biosciences is de-extincting the dire wolf and other “charismatic animals” (dodos and woolly mammoths are in the works) — and why de-extinction is an important goal that will help us solve lots of other problems along the way“Shade-as-a-Service”, a new idea from climate champion, farmer, and entrepreneur Eben Bayer, the founder of MyForest Foods (maker of MyBacon, the top-selling non-meat bacon). The idea is to launch giant parasols into the atmosphere to cool the Earth below.Why Tibet and Taiwan are so key to the tech industry (not to mention global stability); Tibetan PM-in-Exile Lobsang Sangay was a speaker.How to make progress on what matters most to you, featuring a prioritization exercise from Deep Future inventor and investor Pablos HolmanFeatured Voices:Sarah Rose Siskind, science and comedy writer and the founder of Hello SciCom, a STEM communications agencyKwaku Aning, professional connector, founder/principal of RetroFuturism ConsultingDan Blumberg (me!), host of CRAFTED. and the founder of Modern Product Minds. HMU if you want to build something great. I love building from zero to one.And Pretty Please... Share with a friend! Word of mouth is how podcasts grow!Subscribe to the newsletter at crafted.fmShare your feedback! I'm experimenting with new episode formats and would love your feedback on this and other episodes. Email me: dan@modernproductminds.com or DM me on LinkedInSponsor the show? I'm actively speaking to potential sponsors for 2026 episodes. Let's talk! Get psyched!… There are some big updates to the show in 2026!

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

Amanda Silberling joins Mikah Sargent on Tech News Weekly this week! Casio has a new smart toy companion powered by AI. The UK is still seeking to develop backdoor encryption for Apple users. ChatGPT is looking to act more like an operating system. And how the 'Buy Now, Pay Later' model has built a $120 billion industry. Amanda has her hands on a new AI-powered smart companion from Casio! She and Mikah talk about the device, how it works, and the possible data security and privacy concerns. Mikah talks about the UK's continued push to create backdoor encryption for Apple users in the country. Sabrina Ortiz of ZDNet joins the show to discuss OpenAI's Dev Day and the company's ambitions to make OpenAI function like an OS with the launch of the Apps SDK. Finally, Mikah shares an article from The New York Times Magazine about the 'Buy Now, Pay Later' market, which allows buyers to obtain their items easily and traps users in a swarm of debt. Hosts: Mikah Sargent and Amanda Silberling Guest: Sabrina Ortiz Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: pantheon.io threatlocker.com/twit cachefly.com/twit

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

OpenAI's Dev Day Highlights, Deloitte's Big AI Bet, and an AI-Discovered Antibiotic This episode of Hashtag Trending, hosted by Jim Love, delves into pivotal AI advancements. It covers OpenAI's Dev Day reveals, including the introduction of apps within ChatGPT, new features in their platform, and updates to their models and APIs. Deloitte's significant adoption of Anthropic's AI models and addressing an AI-related error are discussed. The episode also highlights a substantial OpenAI-AMD partnership impacting the stock market and responds to criticisms about AI's real-world value by showcasing AI's role in discovering a new antibiotic in record time. The episode wraps up with an acknowledgment of a mix-up in podcast episodes and a mention of Jim Love's new book, 'Elisa'. 00:00 Introduction and Headlines 00:33 OpenAI Dev Day Highlights 01:34 New Features in ChatGPT 02:29 Agent Kit and Developer Tools 04:52 Deloitte's Big AI Bet on Anthropic 08:07 OpenAI's Partnership with AMD 09:47 AI's Real-World Impact: New Antibiotic Discovery 12:17 Conclusion and Final Thoughts

A quick debrief from Climate Week / UN General Assembly week, including: How seemingly normal everything felt, in spite of [...you know...] everythingAI will destroy the climate?AI will solve climate change? AI will kill us all? (If Anyone Builds It, Everyone Dies)A call for AI Red LinesThe UN takes action on AIA plea to “stay in the game” (even though it's hard)Joining me from New York are: Kwaku Aning, creates strategic partnerships that drive meaningful changeLendy Krantz, collaboration strategist, helps companies reimagine their operations in physical and virtual environmentsAnd you can join all three of us (hi, I'm your host Dan Blumberg!) from October 7-9th at PopTech in Washington DC. It's a great conference and I'll be interviewing many of the technologists and futurists who will be on stage for future episodes of the podcast. If you'd like a discount code, DM me on LinkedIn or email me: dan@modernproductminds.com 

What's up with “the MIT study” that claims 95% of all AI pilots fail? Did anyone actually read it beyond the headline? (Dan did—and he has thoughts.)Also: the good, the bad, and the quietly dystopian side of putting AI in kids' classrooms.And… are robots really the thing Melania should be worrying about? That's just some of what Kwaku Aning, return guest and founder of Retrofuturism, and I get into on this very lively, very bubbly, and very uncrafted edition of CRAFTED.More new episodes—and a major update to the show—are coming soon. Subscribe in your favorite podcast app and get the newsletter at crafted.fm---Come hang with us at PopTechCome hang with us and see live recordings of CRAFTED., at PopTech! PopTech is a “curator of what's next” and this will be my third time at the conference. I keep going back because I get new ideas, new inspiration, and really get to know the attendees and speakers. This year's talk's include “A possibilist's guide to the future”, “AI: In service to human(ity),” “Vibe coding for human rights” and more. To see the full list of talks and speakers, see PopTech.org and if you've never been before and would like a discount, DM me on LinkedIn or email me: dan@modernproductminds.com ---Referenced in this episode:MIT study on AI profits rattles tech investors (Axios)Full 26-page MIT study (Scribd)AI Is a Money Trap (Ed Zitron)The Fever Dream of Imminent Superintelligence Is Finally Breaking (Gary Marcus in the NYTimes)How Chatbots and AI Are Already Transforming Kids' Classrooms (Bloomberg)Alpha School – the “AI-Powered Private School”Melania Trump Has a Warning for Humanity: ‘The Robots Are Here' (NYTimes)---Like this episode?You'll also like my conversation with Khan Academy's Chief Product & Learning Officer on what happens when AI becomes your tutor—and what it means for the future of learning.

Max Prilutskiy, co-founder and CEO of lingo.dev, about the lingo.dev compiler, a powerful open-source tool that automates multilingual support in React applications. Max dives deep into how the compiler uses ASTs and AI to eliminate the traditional friction of i18n workflows, offers build-time translations, and supports hot module replacement, static builds, and frameworks like Vite, Next.js, and React Router. Links LinkedIn: https://www.linkedin.com/in/maxprilutskiy Website: https://maxprilutskiy.com X: https://x.com/maxprilutskiy Github: https://github.com/maxprilutskiy Resources https://lingo.dev/en/compiler We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Max Prilutskiy.

 Software is eating the world, right? We've all heard this phrase by now, but inventor and investor Pablos Holman has something important to add: “The world can't eat software.”That's why Pablos focuses on “deep tech”, i.e. how to invent new solutions to real world problems like energy, water, waste, construction, and sanitation. Pablos says we're still mostly using version 1.0 technology for these fundamental systems, but recent advances, including AI and the ability to prototype and test in software, are enabling incredible innovation in hardware.Pablos has worked with Jeff Bezos, Bill Gates, and more. He's kind of a mad scientist and in this episode we'll discuss things that sound like science fiction, but that Pablos says are coming soon, such as solar panels in outer space that can beam clean energy down to earth, autonomous cargo ships blown by the wind across the ocean, and tiny nuclear reactors buried a mile underground that power the world above. At Deep Future, Pablos is on a mission to solve the world's biggest problems, and he's hoping more people will make the jump that he did from software to hardware and into deep tech, because, as he says, “ all the people who've been building software their entire career, those are the ones who are going to save the world.”—Chapters02:25 Deep tech and why it's so important05:56 How Pablos became an inventor07:44 Getting Blue Origin off the ground11:35 Running an invention lab at Intellectual Ventures13:40 Why solar panels in space will soon power Earth16:46 Why all problems are energy problems21:33 Better nuclear reactors are coming28:25 How rapid iteration in software enables better hardware31:35 An appeal to software people to get into deep tech — and save the world—Links:Deep Future book, podcast, and firm: deepfuture.techPopTech conference: poptech.org (if you're new to PopTech and would like a discount, email me or DM me on LinkedIn)Sign up for the CRAFTED. newsletter: crafted.fmLearn more about how Modern Product Minds can help you build the future: modernproductminds.comEmail me: dan@modernproductminds.com

David Khourshid, founder of Stately.ai, joins us to discuss better ways to manage complex state in React applications. We explore the pitfalls of overusing useState, how discriminated unions and state machines improve app logic, the role of server components, and the growing importance of query strings and persistent state management. He also shares insights on modern third-party libraries, React's missing "store" primitive, and when developers should rethink their entire approach to state modeling. Links X: https://x.com/DavidKPiano Github: https://github.com/davidkpiano LinkedIn: https://www.linkedin.com/in/davidkpiano/ Resources React Miami talk: https://www.youtube.com/watch?v=d3mhZbBOxbE We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: David Khourshid.

Is AI the Fourth Pillar of Infrastructure?Infrastructure doesn't go away — it layers. And today, AI is emerging as a new foundational layer alongside compute, storage, and networking.Erik Torenberg interviews a16z's Martin Casado, Jennifer Li, and Matt Bornstein breaking down how infrastructure is evolving in the age of AI — from models and agents to developer tools and shifting user behavior.We dive into what infra actually means today, how it differs from enterprise, and why software itself is being disrupted. Plus, we explore the rise of technical users as buyers, what makes infra companies defensible, and how past waves — from the cloud to COVID to AI — are reshaping how we build and invest. Timestamps: (00:00) Introduction (01:49) Defining Infrastructure in the AI Era(03:15) The Fourth Pillar: AI's Role in Infrastructure(06:01) Historical Context and Evolution of Infrastructure(08:20) The Impact of AI on Software Development(10:18) Investment Strategies and Market Dynamics(17:02) Developer Tools and AI Integration(20:57) Defensibility in the AI Landscape(22:16) Founders' Intuition and Industry Progress(22:26) Defensibility in AI Infrastructure(24:00) Expansion and Contraction Phases in the Industry(24:35) The Role of Layers in Market Consolidation(27:43) The Future of AI Models and Specialization(29:27) The Decade of AI Agents(29:54) Context Engineering and New Infrastructure(34:23) The Evolution of Software Development(42:13) Horizontal vs. Vertical Integration in AI(43:54) Conclusion and Final Thoughts Resources: Find Martin on X: https://x.com/martin_casadoFind Jennifer on X: https://x.com/JenniferHliFind Matt on X: https://x.com/BornsteinMatt Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

This week on The AI Report, Liam Lawson is joined by Quinn Favret, co-founder and COO of Tavus, to explore how digital humans are reshaping communication across industries.Quinn shares how Tavus is building AI agents that can engage in real-time, emotionally intelligent conversations—complete with facial expressions, dynamic tone, and personalized responses. The goal isn't just automation. Its presence. And Quinn believes AI might actually help humans connect more deeply, not less.They dig into how Tavus trains its models, where conversational AI is already creating real impact, and what it takes to design an experience that feels human, without trying to be one.Also in this episode: • Why the uncanny valley is a storytelling challenge • What it means to create “brand as soul” • How Tavus enables sales, HR, education, and therapy • Why cultural nuance and context matter more than realism • The role of AI in making communication more accessibleThis is a forward-looking episode for anyone building or using AI to solve problems that rely on trust, attention, and human connection.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Intro and Quinn's Background(01:03) Engineering, Startups, and YC(03:20) From ML Forecasting to AI Video(05:08) How Tavus Got Started(06:21) Launching During COVID(07:28) What Tavus Actually Does Today(09:05) Real Use Cases in Sales, Healthcare, and Media(11:35) Developer Tools and Agentic Systems(12:31) Building Machines That Adjust to Us(14:39) What Makes a Conversation Feel Real(16:46) Cultural and Contextual Communication(17:52) How AI Understands People Over Time(20:45) Could AI Be Better at Talking Than We Are?(23:03) Why AI Therapy Isn't as Crazy as It Sounds(24:40) The Art of Listening and Speaking(28:33) How Quinn Practices Communication in Life and Work(30:41) The Meaning Behind the Tavus Brand(33:29) Tech, Storytelling, and Soul(35:27) UX Gaps and Human Expectations(36:43) Tavus in Context: Not Just Avatars(38:23) What an AI-Powered Future Might Look Like(40:04) Balancing Tech and Humanity(41:19) Quinn's “Why”(44:54) Where to Connect

In this episode of Builders Wanted, we are joined by Deepak Singh, Vice President of Developer Agents and Experiences at AWS, and Inbal Shani, Chief Product Officer and Head of R&D at Twilio. They discuss what it means to build with AI, the evolution of developer tools, and how they are assisting customers in leveraging AI for customer engagement and innovation. The conversation covers the importance of curiosity, adaptability, and trust in this new era of AI-powered development.-------------------Key Takeaways:Developers need to be curious and adaptable to thrive in the rapidly evolving AI landscape.Successful AI implementation relies on building trust, simplifying processes, and focusing on customer outcomes.Enabling experimentation while managing risk helps organizations fully leverage the potential of AI.-------------------“It is very easy for a dev team or a product team to say, ah, this is the best way of doing something and we are going to follow this through wherever we want to. Instead of working with customers to understand, do you even care? I think with AI it's very important to take constraints away.  So if you combine listening to customers and unconstraining your thinking, you can accomplish a lot.” – Deepak Singh“  When you're using AI, you need to understand that using a model, training a model, having the data, having a feedback loop, all of that is not a magical thing that just happens by itself. It requires investment and you need to be serious about it. When looking to take AI into production, you need to understand what is the complexity of the problem you're trying to solve, and how to deploy the right AI solution to really solve that problem versus swinging by.” – Inbal Shani-------------------Episode Timestamps:‍*(02:35) - What it means to be a builder and the hardest part about building tools ‍*(10:50) - The most exciting shift happening in the developer ecosystem‍*(21:17) - How to manage risk with the pace of innovation ‍*(26:15) - What people underestimate about building AI products at scale ‍*(40:57) - A recent signal that excites Deepak and Inbal about the future ‍*(43:52) - Quick hits-------------------Links:Connect with Deepak on LinkedInConnect with Inbal on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.com.

In this repeat episode, Nikolas Burk, DevRel at Prisma, talks about Prisma Postgres, its unikernel architecture, and its seamless integration with cloud infrastructure. Discover how Prisma Postgres is revolutionizing database management with features like cold start elimination, real-time event handling and advanced caching strategies! Links X: https://x.com/nikolasburk LinkedIn: https://www.linkedin.com/in/nikolas-burk-1bbb7b8a Github: https://github.com/nikolasburk Resources Prisma Postgres®: Building a Modern PostgreSQL Service Using Unikernels & MicroVMs: https://www.prisma.io/blog/announcing-prisma-postgres-early-access We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Nikolas Burk.

Rafael Gonzaga, a Node.js TSC member, joins us to unpack the key features and updates in Node.js 24. We explore major changes like the new permission model, async local storage improvements, V8 engine updates, and the future of built-in HTTP capabilities. Rafael also shares insights on security trends, the evolution of the Node ecosystem, and how developers can get involved. Links Website: https://rafaelgss.dev Github: https://github.com/rafaelgss Twitch: https://www.twitch.tv/rafaelgss X: https://x.com/_rafaelgss LinkedIn: http://linkedin.com/in/rafaelgss Resources Node v24.0.0 (Current): https://nodejs.org/en/blog/release/v24.0.0 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Rafael Gonzaga.

Updating developer tools is essential for developers who want to stay efficient, secure, and competitive. In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche explore how maintaining modern toolsets helps individuals and teams deliver better software, faster. With support from AI-generated analysis and real-world experience, they outline the risks of falling behind—and how to move forward. Listen to the full episode of Building Better Developers with AI for practical insights and ideas you can start applying today. Efficiency and Profitability When Updating Developer Tools AI captured the core message well: using outdated tools slows down delivery, creates unnecessary friction, and ultimately reduces profitability. For side hustlers and teams alike, this loss of efficiency can make or break a project. Rob pointed out that many developers begin their careers using only basic tools. Without proper exposure to modern IDEs like IntelliJ, Visual Studio Code, or Eclipse, they miss out on powerful features such as debugging tools, plugin support, container integration, and real-time collaboration. Warning Signs You Should Be Updating Developer Tools How do you know it's time to update your development tools? Rob and Michael discussed key red flags: Frequent crashes or poor performance Lack of support for modern languages or frameworks Weak integration with tools like GitHub Actions or Docker Outdated or unsupported plugins Inconsistent tooling across team members Neglecting to update developer tools can lead to slow onboarding, poor collaboration, and increased bugs—especially in fast-paced or regulated environments. Tool Standardization vs. Flexibility When Updating Tools There's a balance between letting developers choose their tools and ensuring consistency across a team. While personal comfort can boost productivity, it may also cause challenges when teams debug or collaborate. Rob and Michael recommend hosting internal hackathons to explore new toolchains or standardize workflows. These events give teams a structured way to evaluate tools and share findings. The Security Risk of Not Updating Developer Tools Michael highlighted that outdated tooling doesn't just slow developers down—it creates serious security and compliance risks. Being just one or two versions behind can open vulnerabilities that violate standards like HIPPA, OWASP or SOX. Regular updates to SDKs, plugins, and IDEs are essential for staying compliant, especially in sensitive industries like finance or healthcare. How to Evaluate New Tools Before Updating Developer Toolchains Rob offered a practical framework for evaluating new tools: Does it solve a real pain point? Start with a side project or proof of concept. Check for strong community support and documentation. Balance between stable and innovative. Michael added a note of caution: avoid adopting tools with little community activity or long-term support. If a GitHub project has only a couple of contributors and poor maintenance, it's a red flag. Developer Tools to Review and Update Regularly To keep your development environment current, Rob suggested reviewing these tool categories often: IDEs and code editors Version control tools CI/CD systems and build automation Testing and QA frameworks Package managers and dependency systems Containerization and environment management platforms Using AI to convert simple apps into different frameworks can also help evaluate new tools—just make sure not to share proprietary code. Final Thoughts Modern development demands modern tooling. From cleaner code to faster deployment and stronger team collaboration, the benefits of updating developer tools are clear. Whether you're an independent developer or part of a larger organization, regularly reviewing and upgrading your toolset is a habit worth forming. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Navigating Communication Tools in Modern Workplaces Building a Portable Development Environment That is OS-agnostic Modern Tools For Monetizing Content Updating Developer Tools: Keeping Your Tools Sharp and Efficient Building Better Developers With AI Podcast Videos – With Bonus Content

Logan Kilpatrick from Google DeepMind talks about the latest developments in the Gemini 2.5 model family, including Gemini 2.5 Pro, Flash, and the newly introduced Flashlight. Logan also offers insight into AI development workflows, model performance, and the future of proactive AI assistants. Links Website: https://logank.ai LinkedIn: https://www.linkedin.com/in/logankilpatrick X: https://x.com/officiallogank YouTube: https://www.youtube.com/@LoganKilpatrickYT Google AI Studio: https://aistudio.google.com Resources Gemini 2.5 Pro Preview: even better coding performance (https://developers.googleblog.com/en/gemini-2-5-pro-io-improved-coding-performance) Building with AI: highlights for developers at Google I/O (https://blog.google/technology/developers/google-ai-developer-updates-io-2025) We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Logan Kilpatrick.

Explore FSx for Lustre's new intelligent storage tiering that delivers cost savings and unlimited scalability for file storage in the cloud. Plus, discover how the new Model Context Protocol (MCP) servers are revolutionizing AI-assisted development across ECS, EKS, and serverless platforms with real-time contextual responses and automated resource management. 00:00 - Intro, 00:52 - Introduction new storage class, 03:43 - MCP Servers, 07:18 - Analytics, 09:34 - Application Integration, 15:52 - Business Applications, 16:21 - Cloud Financial Management, 17:44 - Compute, 20:44 - Containers, 21:31 - Databases, 24:25 - Developer Tools, 25:42 - End User Computing, 25:58 - Gaming, 26:34 - Management and Governance, 28:35 - Marketplace, 28:51 - Media Services, 29:29 - Migration and Transfer, 30:01 - Networking and Content Delivery, 34:01 - Security Identity and Compliance, 34:43 - Serverless, 35:06 - Storage, 36:55 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250613-185437.html

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

The future of AI needs a new internet. Coinbase is laying the foundation. In this episode of The Index, host Alex Kehaya talks with Nemil Dalal, Head of Coinbase's Developer Program, about how Coinbase is building crypto-native infrastructure to power the next generation of applications, starting with autonomous AI agents.Nemil shares his background in crypto, from meeting Brian Armstrong at Y Combinator to helping scale USDC from $10 million to $1 billion in market cap. Today, he's focused on making blockchain development more accessible by reducing friction around payments, APIs, and onboarding.A key part of that effort is X402—Coinbase's implementation of the long-dormant HTTP 402 "Payment Required" status code. X402 allows AI agents and applications to autonomously pay for API access using cryptocurrency, without the need for API keys, credit cards, or manual account setup.We break down how X402 works under the hood:API requests return a 402 response when payment is requiredAgents can immediately respond with a signed crypto transaction to unlock accessJust one line of JavaScript is needed to enable itThis simple standard opens the door to a wide range of use cases—from AI agents accessing paid services to developers integrating crypto-powered paywalls with minimal overhead.If you're building in Web3, working with AI, or developing APIs, this episode offers a practical look at how Coinbase is creating tools that make decentralized development more seamless and scalable.

As AI models grow larger and more powerful, they promise incredible capabilities — but at what cost? Karen Hao is an AI journalist and her new book, Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI, is a New York Times bestseller. We discuss whether the largest AI models are worth their hefty footprint: They consume massive amounts of electricity and water and Karen argues that smaller models better balance cost vs. benefit. Karen, who has reported for The Atlantic, MIT Technology Review, and the Wall Street Journal, will also provide a view of AI from outside — far outside — Silicon Valley. She's reported on AI from across the Global South and says many there feel that AI is a new form of colonialism.We'll hear about the fight over data centers in Chile, how New Zealand's Maori people are using AI to preserve their indigenous language, and why it's a problem that AI can speak any language, but can only really be policed in a few.(Our interview was first broadcast in October, while Karen was still writing the book, so we do not discuss her deeply sourced reporting from inside OpenAI.)—CRAFTED. is produced by Modern Product Minds, where CRAFTED. host Dan Blumberg and team can help you take a new product from zero to one... and beyond. We specialize in early stage product discovery, growth, and experimentation. Learn more at modernproductminds.com Subscribe to CRAFTED., follow the show, and sign up for the newsletter

Claude 4 Opus and Sonnet, the most powerful models from Anthropic for coding and advanced reasoning, are now available on Amazon Bedrock. Plus, AWS Transform can now accelerate your Mainframe, .NET and VMWare workload modernization. Learn about these updates and more with your hosts Shruthi and Jillian. 00:00 - Intro, 00:21 - Amazon Bedrock, 03:40 - AWS Transform, 07:51 - EC2 P6/B200 Instances, 11:35 - Analytics, 16:55 - Business Applications, 17:27 - Cloud Financial Management, 17:46 - Compute, 20:14 - Containers, 21:27 - ECS, 21:54 - Databases, 27:08 - Developer Tools, 29:15 - End User Computing, 29:53 - Management & Governance, 32:36 - Migration & Transfer, 35:12 - Networking and Content Delivery, 35:35 - Security Entity and Compliance, 36:07 - Service Changes, 37:06 - Services end of support, 38:26 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250530-194643.html

Thomas Dohmke, CEO of GitHub, joins Azeem to explore how AI is fundamentally transforming software development. In this episode you'll hear: (01:50) What's left for developers in the age of AI? (04:54) How GitHub Copilot unlocks flow state (07:09) Three big shifts in how engineers work today (10:47) Is software development art or assembly line? (15:26) Why developers are climbing the abstraction ladder (19:35) Have we already lost control of the code? (23:15) What it's actually like to work with AI coding agents (39:35) Welcome to the age of ultra-personalized software(45:37) Building the next-generation web Thomas's links:GitHub: https://github.com/LinkedIn: https://www.linkedin.com/in/ashtom/Twitter/X: https://x.com/ashtomAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

AI-generated voices aren't just realistic — they're changing how brands, creators, and agencies bring ideas to life. In this episode, Wondercraft co-founder Oskar Serrander demonstrates how their “Canva for audio” is unlocking rapid prototyping for high-quality audio ads, content, and storytelling.You'll learn:How Wondercraft enables you to go from concept to creative in secondsWhy when AI makes execution easy, ideas and taste matter mostHow brands can test creative faster (and smarter)Why audio is still such an under-leveraged mediumThe surprising future of synthetic voice and what it means for storytellingOskar also shares his take on where generative AI is heading, why sameness is the enemy of brand, and what this all means for the next generation of creators.—Subscribe to the CRAFTED. newsletter

Nova Premier is our most advanced AI model yet, featuring a million-token context window and enhanced capabilities at nearly half the cost of competitors. Dive into this update and more with hosts Simon and Jillian. 00:00 - Intro 00:31 - Amazon Nova Premier 02:56 - Analytics 04:46 - Artificial Intelligence 11:02 - Business Applications 11:38 - Cloud Financial Management 11:57 - Compute 12:10 - Contact Center 14:50 - Containers 15:13 - Database 17:52 -Developer Tools 18:08 - Management and Governance 20:25 - Networking 22:48 - Marketplace 24:04 - Security Identity End Compliance 26:09 - Storage 27:56 - Outro Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250516-191312.html

In this hosts-only episode, Amy and Brad get real about the developer experience - from the stress of job interviews to the complexities of choosing the right framework. They discuss why companies are comparing candidates more than ever, share strategies for answering behavioral interview questions, and debate the merits of Remix versus Next.js (spoiler: Brad's all-in on Remix). The conversation shifts to feature flags and progressive rollouts, with insights from Brad's work at Stripe. SponsorWorkOS helps you launch enterprise features like SSO and user management with ease. Thanks to the AuthKit SDK for JavaScript, your team can integrate in minutes and focus on what truly matters—building your app. Chapter Marks00:00 - Intro00:41 - Sponsor: WorkOS01:47 - Brad's Keyboard and Mouse Shopping Spree04:30 - Keyboard Layout Discussion07:23 - Apple Ecosystem: Reminders and Notes09:23 - Family Sharing and Raycast Integration09:43 - Notion vs Apple Notes for Project Management11:31 - File Storage and Backup Strategies14:00 - Machine Backup Philosophy16:46 - Job Interview Preparation Tips19:40 - Answering the "Weakness" Question21:53 - Addressing Weaknesses: Delegation Examples24:29 - Conflict Resolution Interview Questions25:46 - Company Research Before Interviews27:00 - Tech Stack Considerations: Remix vs Next.js28:30 - Framework Migration Decisions29:30 - Astro for Content Sites31:02 - Backend Languages: Go vs TypeScript32:30 - React Server Components Future34:23 - Feature Flags and Boolean as a Service35:30 - Feature Flag Segmentation and A/B Testing36:54 - PostHog and Analytics Tools38:30 - Progressive Rollouts and Error Monitoring40:20 - Amy's Picks and Plugs43:35 - Brad's Picks and Plugs  

Kevin Smith is building a totally new kind of podcast app. Snipd is an AI-native podcast app and building it required a few mindset shifts. First, what even is a podcast? The way Kevin sees it, podcasts are knowledge. So where most podcast players are, as Kevin calls them, "repurposed music players", Snipd is designed to help you learn. As people listen to episodes, they, or an AI, can save “snips” or interesting moments that they want to remember or share. And the app will also help you review what you've heard, so it reinforces what you've learned.A second mindset shift is how Kevin had to retrain his engineering brain to build with generative AI. He no longer thinks in if-then-else statements. Rather, he asks himself: How would an intern do it? And not just one intern, but infinite interns…I learned a ton from the way Kevin thinks and builds, and you will too. Plus, we discuss the future of podcasting, which looks pretty… weird. You'll talk back to your podcasts, hosts may be synthetic, and shows may not even be designed (at least initially) for human ears.Chapters:(01:30) - Introducing Snipd (03:50) - What led Kevin to found Snipd (06:10) - How AI changes what's possible with podcasts (08:45) - Building with Gen AI requires a mindset shift (11:40) - How would an intern solve this? (12:35) - How podcast listening and podcasting will change with AI (17:35) - Why apps will become your "best friends" (22:00) - Why you may talk back to your podcasts —CRAFTED. listeners can try Snipd, and get a free month of the premium version, here.—Subscribe to the CRAFTED. newsletter

More info: https://docs.anthropic.com/en/docs/claude-code/overview The AI coding wars have now split across four battlegrounds: 1. AI IDEs: with two leading startups in Windsurf ($3B acq. by OpenAI) and Cursor ($9B valuation) and a sea of competition behind them (like Cline, Github Copilot, etc). 2. Vibe coding platforms: Bolt.new, Lovable, v0, etc. all experiencing fast growth and getting to the tens of millions of revenue in months. 3. The teammate agents: Devin, Cosine, etc. Simply give them a task, and they will get back to you with a full PR (with mixed results) 4. The cli-based agents: after Aider's initial success, we are now seeing many other alternatives including two from the main labs: OpenAI Codex and Claude Code. The main draw is that 1) they are composable 2) they are pay as you go based on tokens used. Since we covered all three of the first categories, today's guests are Boris and Cat, the lead engineer and PM for Claude Code. If you only take one thing away from this episode, it's this piece from Boris: Claude Code is not a product as much as it's a Unix utility. This fits very well with Anthropic's product principle: “do the simple thing first.” Whether it's the memory implementation (a markdown file that gets auto-loaded) or the approach to prompt summarization (just ask Claude to summarize), they always pick the smallest building blocks that are useful, understandable, and extensible. Even major features like planning (“/think”) and memory (#tags in markdown) fit the same idea of having text I/O as the core interface. This is very similar to the original UNIX design philosophy: Claude Code is also the most direct way to consume Sonnet for coding, rather than going through all the hidden prompting and optimization than the other products do. You will feel that right away, as the average spend per user is $6/day on Claude Code compared to $20/mo for Cursor, for example. Apparently, there are some engineers inside of Anthropic that have spent >$1,000 in one day! If you're building AI developer tools, there's also a lot of alpha on how to design a cli tool, interactive vs non-interactive modes, and how to balance feature creation. Enjoy! Timestamps [00:00:00] Intro [00:01:59] Origins of Claude Code [00:04:32] Anthropic's Product Philosophy [00:07:38] What should go into Claude Code? [00:09:26] Claude.md and Memory Simplification [00:10:07] Claude Code vs Aider [00:11:23] Parallel Workflows and Unix Utility Philosophy [00:12:51] Cost considerations and pricing model [00:14:51] Key Features Shipped Since Launch [00:16:28] Claude Code writes 80% of Claude Code [00:18:01] Custom Slash Commands and MCP Integration [00:21:08] Terminal UX and Technical Stack [00:27:11] Code Review and Semantic Linting [00:28:33] Non-Interactive Mode and Automation [00:36:09] Engineering Productivity Metrics [00:37:47] Balancing Feature Creation and Maintenance [00:41:59] Memory and the Future of Context [00:50:10] Sandboxing, Branching, and Agent Planning [01:01:43] Future roadmap [01:11:00] Why Anthropic Excels at Developer Tools

How do you move from dabbling with AI and vibe coding to building real, production-grade software with it? In this episode, Austin Vance, CEO of Focused returns and we transition the conversation from building AI-enabled applications to fostering AI-native engineering teams. Austin shares how generative AI isn't just a shortcut—it's reshaping how we architect, code, and lead. We also get to hear Austin's thoughts on the leaked ‘AI Mandate' memo from Shopify's CEO, Tobi Lutke.  We cover what Austin refers to as ‘AI-driven development', how to win over the skeptics on your teams, and why traditional patterns of software engineering might not be the best fit for LLM-driven workflows.  Whether you're an engineer,product leader, or startup founder, this episode will give you a practical lens on what AI-native software development actually requires—and how to foster adoption on your teams quickly and safely to get the benefits of using AI in product delivery. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... Why Shopify's leaked AI memo was a "permission slip" for your own team The three personas in AI adoption: advocates, skeptics, and holdouts How AI-driven development (AIDD) differs from “AI-assisted” workflows Tools and practices Focused uses to ship faster and cheaper with AI Pair programming vs. pairing with an LLM: similarities and mindset shifts How teams are learning to prompt effectively—without prompt engineering training Vibe coding vs. integrating with entrenched systems: what's actually feasible Scaling engineering culture around non-determinism and experimentation Practical tips for onboarding dev teams to tools like Cursor, Windsurf, and Vercel AI SDK Using LLMs for deep codebase exploration, not just code generation Mentioned in this episode Cursor Windsurf LangChain Claude GPT-4 / ChatGPT V0.dev GitHub Copilot Focused (focused.io) Shopify internal AI memo Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

What is a good money habit in 2025? And how do you actually help someone build one—without boring them, shaming them, or losing them in the first five seconds?Chief Product Officer Tim Hong shares how MoneyLion designs for emotion and creates content and products that inspire people to take action. MoneyLion is a personal finance platform used by millions of mostly younger Americans who are just getting started with their money, so, as Tim says: “It's actually less about bad habits that we fight. It's about having no habits.”Tim also shares how AI could create a truly personalized (1 of 1) financial advisor, why most financial apps are “like going to the DMV”, and how things like open banking and embedded finance can change that…—Chapters:(01:30) - Tim has literally measured how short our attentions spans are at a brainwave startup (03:49) - What MoneyLion does and why content and storytelling are so important (08:30) - What even are good money habits today? (12:00) - How MoneyLion uses AI to create personalized content (13:40) - "Talking to your money" with AI (16:30) - How building with GenAI is different (20:30) - Building with non-deterministic systems (24:30) - "Self-driving money": Tim's not so sure people want to fully give up control (29:30) - Why so many financial apps feel like "going to the DMV" — and how that's changing with open banking and embedded finance —Looking for your next episode? Here's another fintech one you might enjoy:“You Have to Invest Into Change.” Startup Lessons from Fintech OG and VC Daniel Kimerling, Founder of Deciens Capital and Standard Treasury —For all CRAFTED. episodes and to subscribe to the CRAFTED. newsletter

In this interview, our Moore's Lobby host, Daniel Bogdanoff, chats with Rodger Richey, Vice President of Development Tools and Academic Programs at Microchip Technology. Rodger shares how his passion for engineering began with childhood curiosity, dismantling and repairing devices like a microwave. Those early hands-on experiences laid the foundation for his electrical engineering career, which started with designing underwater electronics for the U.S. Navy. Rodger discusses the evolution of development tools and the growing complexity of embedded systems over his 30-year tenure at Microchip. He emphasizes the importance of creating accessible and user-friendly tools, such as IDEs and development boards, to help developers tackle increasingly sophisticated projects. The integration of AI into development workflows is a major milestone, enabling enhanced productivity and better debugging. Rodger also highlights his involvement in academia, spearheading initiatives like virtual internships and hands-on learning programs to better prepare students for industry roles. By providing real-world tools and fostering collaboration, these programs aim to bridge the gap between theoretical education and practical application. Rodger attributes his longevity at Microchip to its strong values, collaborative culture, and dedication to innovation, which have remained consistent even as the company has grown significantly.

In this episode, I, Stewart Alsop III, sat down with AJ Beckner to walk through how non-technical founders can build a deeper understanding of their codebase using AI tools like Cursor and Claude. We explored the reality of navigating an IDE as a beginner, demystified Git and GitHub version control, and walked through practical ways to clone a repo, open it safely in Cursor, and start asking questions about your app's structure and functionality without breaking anything. AJ shared his curiosity about finding specific text in his app and how to track that down across branches. We also looked at using AI-powered tools for tasks like dependency analysis and visualizing app architecture, with a focus on empowering non-devs to gain confidence and clarity in their product's code. You can connect with AJ through Twitter at @thisistheaj.Check out this GPT we trained on the conversation!Timestamps00:00 – Stewart introduces Cursor as a fork of Visual Studio Code and explains the concept of an IDE to AJ, who has zero prior experience. They talk about the complexity of coding and the importance of developer curiosity.05:00 – They walk through cloning a GitHub repository using the git clone command. Stewart highlights that AJ won't break anything and introduces the idea of a local playground for exploration.10:00 – Stewart explains Git vs GitHub, the purpose of version control, and how to use the terminal for navigation. They begin setting up the project in Cursor using the terminal rather than GUI options.15:00 – They realize only a README was cloned, leading to a discussion about branches—specifically the difference between main and development branches—and how to clone the right one.20:00 – Using git fetch, they get access to the development branch. Stewart explains how to disconnect from Git safely to avoid pushing changes.25:00 – AJ and Stewart begin exploring Cursor's AI features, including the chat interface. Stewart encourages AJ to start asking natural-language questions about the app structure.30:00 – Stewart demonstrates how to ask for a dependency analysis and create mermaid diagrams for visualizing how app modules are connected.35:00 – They begin identifying specific UI components, including finding and editing the home screen title. AJ uploads a screenshot to use as reference in Cursor.40:00 – They successfully trace the UI text to an index.tsx file and discuss the layout's dependency structure. AJ learns how to use search and command-F effectively.45:00 – They begin troubleshooting issues with Claude's GitHub integration, exploring Claude MCP servers and configuration files to fix broken tools.50:00 – Stewart guides AJ through using npm to install missing packages, explains what Node Package Manager is, and reflects on the interconnected nature of modern development.55:00 – Final troubleshooting steps and next steps. Stewart suggests bringing in Phil for deeper debugging. AJ reflects on how empowered he now feels navigating the codebase.Key InsightsYou don't need to be a developer to understand your app's codebase: AJ Beckner starts the session with zero familiarity with IDEs, but through Stewart's guidance, he begins navigating Cursor and GitHub confidently. The key idea is that non-technical founders can develop real intuition about their code—enough to communicate better with developers, find what they need, and build trust with the systems behind their product.Cursor makes AI-native development accessible to beginners: One of the biggest unlocks in this episode is seeing how Cursor, a VS Code fork with AI baked in, can answer questions about your codebase in plain English. By cloning the GitHub repo and indexing it, AJ is able to ask, “Where do I change this text in the app?” and get direct, actionable guidance. Stewart points out that this shifts the role of a founder from passively waiting on answers to actively exploring and editing.Version control doesn't have to be scary—with the right framing: Git and GitHub come across as overwhelming to many non-engineers, but Stewart breaks it down simply: Git is the local system that helps keep changes organized and non-destructive, and GitHub is the cloud-based sharing tool layered on top. Together, they allow safe experimentation, like cloning a development branch and disconnecting it from the main repo to create a playground environment.Branching strategies reflect how work gets done behind the scenes: The episode includes a moment of discovery: AJ cloned the main branch and only got a README. Stewart explains that the real work often lives in a “development” branch, while “main” is kept stable for production. Understanding this distinction helps AJ (and listeners) know where to look when trying to understand how features are actually being built and tested.Command line basics give you superpowers: Rather than relying solely on visual tools, Stewart introduces AJ to the terminal—explaining simple commands like cd, git clone, and git fetch—and emphasizes that the terminal has been the backbone of developer work for decades. It's empowering to learn that you can use just a few lines of text to download and explore an entire app.Modern coding is less about code and more about managing complexity: A recurring theme in the conversation is the sheer number of dependencies, frameworks, and configuration files that make up any modern app. Stewart compares this to a reflection of modern life—interconnected and layered. Understanding this complexity (rather than being defeated by it) becomes a mindset that AJ embraces as part of becoming technically fluent.AI will keep lowering the bar to entry, but learning fundamentals still matters: Stewart shares how internal OpenAI coding models went from being some of the worst performers two years ago to now ranking among the top 50 in the world. While this progress promises an easier future for non-devs, Stewart emphasizes the value of understanding what's happening under the hood. Tools like Claude and Cursor are incredibly powerful, but knowing what they're doing—and when to be skeptical—is still key.

Learn about the latest new FM in the Nova family that simplifies conversational AI with low latency, and build safely with new capabilities for Amazon Bedrock Guardrails. 00:00 - Intro, 00:27 - Amazon Nova Sonic, 03:13 - Amazon Bedrock Guardrails, 05:23 - Analytics, 08:18 - Application Integration, 08:37 - Artificial Intelligence, 12:06 - Business Applications, 13:01 - Cloud Financial Management, 13:44 - Compute, 15:04 - Contact Center, 16:29 - Containers, 16:49 - Databases, 19:57 - Developer Tools, 20:59 - Frontend Web and Mobile, 21:20 - Management and Governance, 23:39 - Media Services, 25:37 - Migration and Transfer, 26:46 - Networking and Content Delivery, 28:45 - Artificial Intelligence, 29:58 - Security, Identity, and Compliance, 32:51 - Serverless, 33:57 - Storage, 37:29 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/run-sheet-20250418-173723.html

Fun news! The Webby Awards have honored CRAFTED. for the third year in a row as a top tech podcast. Thank you — yes, you! — for listening!This episode features the highlight reel we gave the Webbys. It features great moments from 2024 episodes, including (listed in the order mentioned): Powering the World's Hackathons | Brandon Kessler (Founder & CEO, DevPost)Asana's Head of AI on the Profound Ways Work Is Changing | Paige Costello (Head of AI & Co-Head of Product Management at Asana)AI, Creativity, and Soul: How Hilary Mason Chooses Her Own Adventure (Co-Founder & CEO of Hidden Door)“You Have to Invest Into Change.” Startup Lessons from Fintech OG and VC Daniel Kimerling, Founder of Deciens Capital and Standard TreasuryOpen Source Must Evolve for AI and the Next Generation | Nithya Ruff (Head of AWS Open Source Program Office and Chair of the Linux Foundation)Great Software & Storytelling Is Emotional | Kelsey Hightower (Legendary Developer, Kubernetes Pioneer, Former Distinguished Engineer at Google)One Billion Developers! GitHub's Head of Product Says AI Democratizes How We Build the Future | Mario Rodriguez (CPO, Github)Design for Emotion. Leverage AI. Be Curious. | Design Better's Co-founders on Building Great ProductsUsing AI to Launch Thousands of Startups a Year | Henrik Werdelin (Founder of BARK, prehype, Audos)AI and the Future of Medicine | Kira Radinsky (CEO of Diagnostic Robotics and Co-founder of Mana.bio)New Frontiers of Health: AI, Psychedelics, the Gut-Brain Axis, and More! | Live from SXSWMy AI Teacher: Khan Academy and the Future of Education | Dr. Kristen Dicerbo (Chief Learning Officer)Making Music With AI – And Doing So Ethically | Diaa El All, Founder & CEO of SoundfulThe full show archive is at crafted.fm, where I hope you'll also subscribe to the CRAFTED. newsletter. And please share CRAFTED. with a friend. Just one. Text them right now!Thanks... and onward!

On a rooftop at SXSW, fellow startup advisor and podcaster Rob Kenedi joins me as we discuss why: AI models are becoming commodities…AI companies need to differentiate at the application layer, with brand, and by earning trust…B2B creators are all the ragePodcasts are so intimate and how video changes thingsWe're in the “fart app” era of AI…Enjoy this uncrafted CRAFTED.!And if you enjoy this more casual format, please share your feedback. DM me on LinkedIn or email me: dan@modernproductminds.comWhere to find Rob:LinkedIn: https://www.linkedin.com/in/rkenedi/Decelerator podcast: https://decelerator.media/More CRAFTED.:Subscribe to the CRAFTED. newsletter: https://www.crafted.fmLearn how Dan and Modern Product Minds can help you discover, build, and test new products: https://www.modernproductminds.com 

Hosts Simon and Jillian discuss how you can uncover hidden trends and make data-driven decisions - all through natural conversation, with Amazon Q in Quicksight, plus, more of the latest updates from AWS. 00:00 - Intro, 00:22 - Top Stories, 02:50 - Analytics, 03:35 - Application Integrations, 04:48 - Amazon Sagemaker, 05:29 - Amazon Bedrock Knowledge Bases, 05:48- Amazon Polly, 06:46 - Amazon Bedrock, 07:31 - Amazon Bedrock Model Evolution LLM, 08:29 - Business Application, 08:58 - Compute, 09:51 - Contact Centers, 10:54 - Containers, 11:12 - Database, 14:21 - Developer Tools, 15:20 - Front End Web and Mobile, 15:45 - Games, 16:04 - Management and Governance, 16:35 - Media Services, 16:47 - Network and Content Delivery, 19:39 - Security Identity and Compliance, 20:24 - Serverless, 21:48 - Storage, 22:43 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250404-184823.html

What if the key to building better teams and products is hidden in our brain chemistry? In this episode, Brad Nelson joins us to break down the neuroscience behind motivation, happiness, and productivity—especially for Agile teams. From dopamine and serotonin to stress hormones like cortisol, we explore how brain science can inform leadership, team culture, and workplace habits. Plus, we connect these insights to practical Agile practices like pair programming, retrospectives, and sustainable velocity. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... The four key brain chemicals that drive motivation and happiness Why a lack of control is the most stressful thing at work The neuroscience behind agile practices  How to use gratitude, movement, and breaks to boost productivity The connection between stress, cortisol, and sustainable team performance Practical ways leaders can create high-performing, engaged teams The surprising link between happiness, mastery, and continuous learning Mentioned in this episode Dan Pink's work on autonomy, mastery, and purpose - https://www.ted.com/talks/dan_pink_the_puzzle_of_motivation?podconvergence DC and Ryan - https://www.apa.org/members/content/intrinsic-motivation?podconvergence Shawn Achor - https://www.shawnachor.com/?podconvergence Positive Psychology  - https://www.psychologytoday.com/us/basics/positive-psychology?podconvergence Upward Spiral by Dr Alex Korb - https://www.amazon.com/Upward-Spiral-Neuroscience-Reverse-Depression/dp/1626251207?podconvergence Hawthorne studies - https://www.library.hbs.edu/hc/hawthorne/01.html?podconvergence Maslow's hierarchy of needs - https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs?podconvergence Meik Wiking and the Happiness Research Institute - https://www.happinessresearchinstitute.com/experts/meik-wiking?podconvergence HarvardX: Managing Happiness: https://www.edx.org/learn/happiness/harvard-university-managing-happiness?podconvergence Book: The High 5 Habit by Mel Robbins: https://www.amazon.com/High-Habit-Take-Control-Simple/dp/1401962122?podconvergence TED talk on The brain-changing benefits of exercise by Wendy Suzuki: https://www.youtube.com/watch?v=BHY0FxzoKZE?podconvergence Book: The infinite game by Simon Sinek: https://www.amazon.com/Infinite-Game-Simon-Sinek/dp/073521350X?podconvergence Peter Senge's “Learning Organization” - https://infed.org/mobi/peter-senge-and-the-learning-organization/?podconvergence Brad's favorite product: Nvidia Shield for streaming content: https://www.nvidia.com/en-us/shield/shield-tv-pro/?podconvergence Brad's podcast Agile for Agilists: https://www.agileforagilists.com/?podconvergence Brad's LinkedIn: https://www.linkedin.com/in/bradgile/?podconvergence Places to get started on finding a therapist:  Psychology Today - https://www.psychologytoday.com/?podconvergence Better Help - https://www.betterhelp.com/?podconvergence Talk Space - https://www.talkspace.com/?podconvergence Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

Two weeks ago, OpenAI released its set of tools to help developers build agentic systems. Today on Unsupervised Learning, Nikunj Handa (Product Lead) and Steve Coffey (Eng Lead) answer some of the biggest questions around how developers should be thinking about building in the agentic paradigm in 2025. [0:00] Intro[0:53] OpenAI's Vision for Consumer Interaction[4:51] Building Multi-Agent Systems for Business Solutions[6:53] Challenges and Innovations in AI Fine-Tuning[13:20] Exploring Computer Use Cases and Applications[17:20] Advanced Use Cases and Developer Insights[25:29] Challenges with Context Storage and Chat Completions[26:09] Introducing the Responses API and MCP[27:16] AI Infrastructure Companies and Their Role[29:35] Building the Tools Ecosystem[30:17] Exploring Computer Use Models[31:47] The Future of AI and Developer Tools[38:36] Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

New game-changing AI developments are here, from SageMaker Unified Studio to Bedrock's new multi-agent capabilities. Join your hosts Simon and Jillian for the latest updates from AWS. 00:00:00 - Intro 00:00:49 - Top Stories 00:02:31 - Amazon Bedrock 00:05:35 - Analytics 00:06:08 - Application Integration 00:06:41 - AWS Step Function Workflow Studio 00:06:59 - Amazon Bedrock 00:07:26 - GraphRAG 00:09:08 - Amazon Nova Pro Foundation Model 00:09:32 - Amazon S3 Table and Sagemaker Lakehouse 00:12:00 - Compute 00:13:30 - Customer Engagement 00:14:39 - Data Bases 00:15:09 - Developer Tools 00:17:09 - End User Computing 00:17:25 - Front end Web and Mobile 00:18:08 - Games Internet of things 00:20:12 - Management and Governance 00:20:31 - Networking and Content Delivery 00:20:41 - AWS Application Load Balancer 00:21:06 - Security Identity End Compliance 00:22:32 - Storage 00:23:47 - Wrap up

Anthropic's most advanced AI model yet is now on Amazon Bedrock, plus, multimodal content analysis with Bedrock Data Automation. Keep up with these updates and more on this week's AWS News. Chapters: 00:00:00 - Intro 00:01:02 - Anthropic Claude 3.7 00:03:14 - Amazon Bedrock Data Automation 00:05:54 - Analytics 00:06:50 - Artificial Intelligence 00:09:23 - Compute 00:12:37 - Customer Engagement 00:13:50 - Databases 00:16:11 - Developer Tools 00:17:05 - End User Computing 00:17:23 - Front End Web and Mobile 00:18:31 - Management End Governance 00:19:34 - Migration and Modernization 00:20:43 - Security Identity End Compliance 00:21:56 - Storage 00:22:12 - Outro