Podcasts about windsurf

Es wird mal wieder Zeit dem Winter zu entfliehen. Steigt mit uns in den prall gefüllte Billigflieger und entdeckt den Bei allen Wind- und Wellensportlern beliebten Spot El Medano auf Teneiffa. Zusammen mit Windsurf- und Wingfoil Spezi Philipp Kümpel entdecken wir diese kleine Bucht und ihren Vibe. Wer nebenbei noch was über Filmmusik lernen will, ist hier auch an der richtigen Stelle.

The State of JavaScript 2025 survey results are in this week, and there's some givens and some surprises this year. Givens: Vite's still a favorites and devs want more native TS features. Surprises: ChatGPT usage declined, no one's using Windsurf, and Bun is the third most-used JS runtime. And thanks for making us the most written-in podcast of the survey! We appreciate it!An 8 month study conducted by the Harvard Business Review reports AI tools don't shrink work for employees, they actually intensify it. Employees work faster, take on more tasks, and work longer hours, which can lead to burnout, cognitive fatigue, and lower quality work over time. And there's yet another new React2Shell flaw that's being exploited by the ILOVEPOOP toolkit to scan and target vulnerable Next.js and RSC environments. Patch your React apps, folks.Timestamps:0:59 - State of JS survey results23:53 - Harvard Business Review's report on how AI is changing work35:30 - React2Shell exploits and ILOVEPOOP40:08 - The largest domain name purchase ever43:00 - Adobe Acrobat can turn PDFs into podcasts46:48 - We hit 100k downloads!47:55 - What's making us happyNews:Paige - State of JavaScript survey results 2025Jack - React2Shell exploitsTJ - HBR reports AI didn't shrink work for employees, it intensified it and the burnout is getting realLightning News: Thanks for helping us reach 100k downloads!The largest publicly disclosed domain name purchase everAdobe Acrobat can turn PDFs into podcastsWhat Makes Us Happy this Week:Paige - San Diego Zoo Safari ParkJack - Bambu Lab H2CTJ - Ubuntu OSThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Hey dear subscriber, Alex here from W&B, let me catch you up! This week started with Anthropic releasing /fast mode for Opus 4.6, continued with ByteDance reality-shattering video model called SeeDance 2.0, and then the open weights folks pulled up! Z.ai releasing GLM-5, a 744B top ranking coder beast, and then today MiniMax dropping a heavily RL'd MiniMax M2.5, showing 80.2% on SWE-bench, nearly beating Opus 4.6! I've interviewed Lou from Z.AI and Olive from MiniMax on the show today back to back btw, very interesting conversations, starting after TL;DR!So while the OpenSource models were catching up to frontier, OpenAI and Google both dropped breaking news (again, during the show), with Gemini 3 Deep Think shattering the ArcAGI 2 (84.6%) and Humanity's Last Exam (48% w/o tools)... Just an absolute beast of a model update, and OpenAI launched their Cerebras collaboration, with GPT 5.3 Codex Spark, supposedly running at over 1000 tokens per second (but not as smart) Also, crazy week for us at W&B as we scrambled to host GLM-5 at day of release, and are working on dropping Kimi K2.5 and MiniMax both on our inference service! As always, all show notes in the end, let's DIVE IN! ThursdAI - AI is speeding up, don't get left behind! Sub and I'll keep you up to date with a weekly catch upOpen Source LLMsZ.ai launches GLM-5 - #1 open-weights coder with 744B parameters (X, HF, W&B inference)The breakaway open-source model of the week is undeniably GLM-5 from Z.ai (formerly known to many of us as Zhipu AI). We were honored to have Lou, the Head of DevRel at Z.ai, join us live on the show at 1:00 AM Shanghai time to break down this monster of a release.GLM-5 is massive, not something you run at home (hey, that's what W&B inference is for!) but it's absolutely a model that's worth thinking about if your company has on prem requirements and can't share code with OpenAI or Anthropic. They jumped from 355B in GLM4.5 and expanded their pre-training data to a whopping 28.5T tokens to get these results. But Lou explained that it's not only about data, they adopted DeepSeeks sparse attention (DSA) to help preserve deep reasoning over long contexts (this one has 200K)Lou summed up the generational leap from version 4.5 to 5 perfectly in four words: “Bigger, faster, better, and cheaper.” I dunno about faster, this may be one of those models that you hand off more difficult tasks to, but definitely cheaper, with $1 input/$3.20 output per 1M tokens on W&B! While the evaluations are ongoing, the one interesting tid-bit from Artificial Analysis was, this model scores the lowest on their hallucination rate bench! Think about this for a second, this model is neck-in-neck with Opus 4.5, and if Anthropic didn't release Opus 4.6 just last week, this would be an open weights model that rivals Opus! One of the best models the western foundational labs with all their investments has out there. Absolutely insane times. MiniMax drops M2.5 - 80.2% on SWE-bench verified with just 10B active parameters (X, Blog)Just as we wrapped up our conversation with Lou, MiniMax dropped their release (though not weights yet, we're waiting ⏰) and then Olive Song, a senior RL researcher on the team, joined the pod, and she was an absolute wealth of knowledge! Olive shared that they achieved an unbelievable 80.2% on SWE-Bench Verified. Digest this for a second: a 10B active parameter open-source model is directly trading blows with Claude Opus 4.6 (80.8%) on the one of the hardest real-world software engineering benchmark we currently have. While being alex checks notes ... 20X cheaper and much faster to run? Apparently their fast version gets up to 100 tokens/s. Olive shared the “not so secret” sauce behind this punch-above-its-weight performance. The massive leap in intelligence comes entirely from their highly decoupled Reinforcement Learning framework called “Forge.” They heavily optimized not just for correct answers, but for the end-to-end time of task performing. In the era of bloated reasoning models that spit out ten thousand “thinking” tokens before writing a line of code, MiniMax trained their model across thousands of diverse environments to use fewer tools, think more efficiently, and execute plans faster. As Olive noted, less time waiting and fewer tools called means less money spent by the user. (as confirmed by @swyx at the Windsurf leaderboard, developers often prefer fast but good enough models) I really enjoyed the interview with Olive, really recommend you listen to the whole conversation starting at 00:26:15. Kudos MiniMax on the release (and I'll keep you updated when we add this model to our inference service) Big Labs and breaking newsThere's a reason the show is called ThursdAI, and today this reason is more clear than ever, AI biggest updates happen on a Thursday, often live during the show. This happened 2 times last week and 3 times today, first with MiniMax and then with both Google and OpenAI! Google previews Gemini 3 Deep Think, top reasoning intelligence SOTA Arc AGI 2 at 84% & SOTA HLE 48.4% (X , Blog)I literally went

DESPEDIMOS ENERO CON UN PROGRAMON... de VERANO.. A TODA ESENCIAL NATURAL..para RECONECTAR CON TU ESPERANZA ESENCIAL.. GRACIAS a nuestros INVITADOS ESPECIALES MABEL ROMERO, escritora, promotora cultural ,conductora radio , desde URUGUAY. @mabelromeropereira FB. PAGLO ROGER : PSIC.DEPORTIVO, WINDSURFISTA PROFESIONAL. .@surfaviento.ok. DANIEL MARTINEZ, titular de REINO MINERAL: LAS GEMAS del INFINITO para armonizarte. @reinomineralgmsrosario GRACIAS.. www.marisapatinoambassador.com

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter.We sat down with Reggio to unpack Brex's three-pillar AI strategy (corporate, operational, and product AI) [https://www.brex.com/journal/brex-ai-native-operations], how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners [https://www.conductorone.com/customers/brex/], and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies. Reggio also goes deep on Brex's multi-agent “network” architecture, evals for multi-turn systems, agentic coding's second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes.We discuss:* Brex's three-pillar AI strategy: corporate AI for 10x employee workflows, operational AI for cost and compliance leverage, and product AI that lets customers justify Brex as part of their AI strategy to the board* Why SOP-driven agents beat overengineered RL in finance ops, and how breaking work into auditable, repeatable steps unlocked faster automation in KYC, underwriting, fraud, and disputes* Building an internal AI platform early: LLM gateways, prompt/version management, evals, cost observability, and why platform work quietly became the force multiplier behind everything else* Multi-agent “networks” vs single-agent tools: why Brex's EA-style assistant coordinates specialist agents (policy, travel, reimbursements) through multi-turn conversations instead of one-shot tool calls* The audit agent pattern: separating detection, judgment, and follow-up into different agents to reduce false negatives without overwhelming finance teams* Centralized AI teams without resentment: how Brex avoided “AI envy” by tying work to business impact and letting anyone transfer in if they cared deeply enough* Letting employees build their own AI stack: ChatGPT vs Claude vs Gemini, Cursor vs Windsurf, and why Brex refuses to pick winners in fast-moving tool races* Measuring adoption without vanity metrics: why “% of code written by AI” is the wrong KPI and what second-order effects (slop, drift, code ownership) actually matter* Evals in the real world: regression tests from ops QA, LLM-as-judge for multi-turn agents, and why integration-style evals break faster than you expect* Teaching AI fluency at scale: the user → advocate → builder → native framework, ops-led training, spot bonuses, and avoiding fear-based adoption* Re-interviewing the entire engineering org: using agentic coding interviews internally to force hands-on skill upgrades without formal performance scoring* Headcount in the age of agents: why Brex grew the business without growing engineering, and why AI amplifies bad architecture as fast as good decisions* The future of finance software: why dashboards fade, assistants take over, and agent-to-agent collaboration becomes the real UI—James Reggio* X: https://x.com/jamesreggio* LinkedIn: https://www.linkedin.com/in/jamesreggio/Where to find Latent Space* X: https://x.com/latentspacepodFull Video EpisodeTimestamps00:00:00 Introduction00:01:24 From Mobile Engineer to CTO: The Founder's Path00:03:00 Quitters Welcome: Building a Founder-Friendly Culture00:05:13 The AI Team Structure: 10-Person Startup Within Brex00:11:55 Building the Brex Agent Platform: Multi-Agent Networks00:13:45 Tech Stack Decisions: TypeScript, Mastra, and MCP00:24:32 Operational AI: Automating Underwriting, KYC, and Fraud00:16:40 The Brex Assistant: Executive Assistant for Every Employee00:40:26 Evaluation Strategy: From Simple SOPs to Multi-Turn Evals00:37:11 Agentic Coding Adoption: Cursor, Windsurf, and the Engineering Interview00:58:51 AI Fluency Levels: From User to Native01:09:14 The Audit Agent Network: Finance Team Agents in Action01:03:33 The Future of Engineering Headcount and AI Leverage Get full access to Latent.Space at www.latent.space/subscribe

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter. We sat down with Reggio to unpack Brex's three-pillar AI strategy (corporate, operational, and product AI) [https://www.brex.com/journal/brex-ai-native-operations], how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners [https://www.conductorone.com/customers/brex/], and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies. Reggio also goes deep on Brex's multi-agent “network” architecture, evals for multi-turn systems, agentic coding's second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes. We discuss: Brex's three-pillar AI strategy: corporate AI for 10x employee workflows, operational AI for cost and compliance leverage, and product AI that lets customers justify Brex as part of their AI strategy to the board Why SOP-driven agents beat overengineered RL in finance ops, and how breaking work into auditable, repeatable steps unlocked faster automation in KYC, underwriting, fraud, and disputes Building an internal AI platform early: LLM gateways, prompt/version management, evals, cost observability, and why platform work quietly became the force multiplier behind everything else Multi-agent “networks” vs single-agent tools: why Brex's EA-style assistant coordinates specialist agents (policy, travel, reimbursements) through multi-turn conversations instead of one-shot tool calls The audit agent pattern: separating detection, judgment, and follow-up into different agents to reduce false negatives without overwhelming finance teams Centralized AI teams without resentment: how Brex avoided “AI envy” by tying work to business impact and letting anyone transfer in if they cared deeply enough Letting employees build their own AI stack: ChatGPT vs Claude vs Gemini, Cursor vs Windsurf, and why Brex refuses to pick winners in fast-moving tool races Measuring adoption without vanity metrics: why “% of code written by AI” is the wrong KPI and what second-order effects (slop, drift, code ownership) actually matter Evals in the real world: regression tests from ops QA, LLM-as-judge for multi-turn agents, and why integration-style evals break faster than you expect Teaching AI fluency at scale: the user → advocate → builder → native framework, ops-led training, spot bonuses, and avoiding fear-based adoption Re-interviewing the entire engineering org: using agentic coding interviews internally to force hands-on skill upgrades without formal performance scoring Headcount in the age of agents: why Brex grew the business without growing engineering, and why AI amplifies bad architecture as fast as good decisions The future of finance software: why dashboards fade, assistants take over, and agent-to-agent collaboration becomes the real UI — James Reggio X: https://x.com/jamesreggio LinkedIn: https://www.linkedin.com/in/jamesreggio/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction 00:01:24 From Mobile Engineer to CTO: The Founder's Path 00:03:00 Quitters Welcome: Building a Founder-Friendly Culture 00:05:13 The AI Team Structure: 10-Person Startup Within Brex 00:11:55 Building the Brex Agent Platform: Multi-Agent Networks 00:13:45 Tech Stack Decisions: TypeScript, Mastra, and MCP 00:24:32 Operational AI: Automating Underwriting, KYC, and Fraud 00:16:40 The Brex Assistant: Executive Assistant for Every Employee 00:40:26 Evaluation Strategy: From Simple SOPs to Multi-Turn Evals 00:37:11 Agentic Coding Adoption: Cursor, Windsurf, and the Engineering Interview 00:58:51 AI Fluency Levels: From User to Native 01:09:14 The Audit Agent Network: Finance Team Agents in Action 01:03:33 The Future of Engineering Headcount and AI Leverage

Durant la tempête Goretti, un Français a fait un un saut de 37 mètres de haut

En 2025, une nouvelle expression s'est imposée dans le vocabulaire de la tech : le « vibe coding ». Derrière ce terme intrigant se cache une pratique qui transforme en profondeur la manière de développer des logiciels.Le vibe coding, que l'on peut traduire par « programmation intuitive », désigne une approche où le développeur ne code plus ligne par ligne, mais décrit simplement ce qu'il souhaite obtenir à une intelligence artificielle. Popularisé par Andrei Karpathy, ancien responsable de l'IA chez Tesla et cofondateur d'OpenAI, ce concept est né dans les communautés de développeurs avant de se diffuser largement dans l'écosystème numérique.Concrètement, il suffit désormais de formuler une demande en langage naturel : créer un script Python, concevoir une page web avec un formulaire, modifier l'interface d'une application ou même développer un jeu ou une application mobile complète. Cette méthode permet un gain de temps spectaculaire et ouvre la création logicielle à des non-développeurs, capables de produire des outils fonctionnels pour le web, le mobile ou des usages métiers comme des CMS ou des ERP.De nombreux outils incarnent cette tendance, à commencer par GitHub Copilot, mais aussi Cursor, Windsurf ou des assistants généralistes comme ChatGPT, Claude ou Gemini, qui génèrent du code à intégrer ensuite de manière classique. D'autres solutions vont plus loin encore, en produisant directement des applications prêtes à l'emploi, comme le propose la startup suédoise Lovable.Dans cet épisode, Sébastien Stormacq, responsable des relations développeurs chez AWS, partage une expérience concrète : la création, en une heure et sans écrire une seule ligne de code, d'un jeu inspiré de Pac-Man grâce au vibe coding. Un exemple révélateur de la puissance, mais aussi des limites de cette approche.Le phénomène soulève des questions cruciales : qualité et sécurité du code généré, risques de bugs majeurs, mais aussi impact sur l'emploi. Si le vibe coding accélère le travail des équipes et augmente la productivité des développeurs expérimentés, il fragilise davantage les profils juniors. Une chose est sûre : plus qu'un simple outil, le vibe coding redéfinit en profondeur le métier de développeur.-----------♥️ Soutien : https://mondenumerique.info/don

Aaron and Brian review the Year in AI, hand out AI awards, and discuss the biggest AI trends from 2025. Maybe a few predictions will be made as well.SHOW: 987SHOW TRANSCRIPT: The Cloudcast #987 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:SHOW NOTESCLOUD & AI NEWS OF THE MONTH - NOV 2025 (show)CLOUD & AI NEWS OF THE MONTH - OCT 2025 (show)CLOUD & AI NEWS OF THE MONTH - SEPT 2025 (show)CLOUD & AI NEWS OF THE MONTH - AUG 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUL 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUN 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAY 2025 (show)CLOUD & AI NEWS OF THE MONTH - APR 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAR 2025 (show)CLOUD & AI NEWS OF THE MONTH - FEB 2025 (show)CLOUD & AI NEWS OF THE MONTH - JAN 2025 (show)2025 AI YEAR IN REVIEWThe Year of OpenAIThe Year of NVIDIAThe Year of MicrosoftThe Year of GoogleThe Year of OracleThe Year of China AIThe Year of AppleThe Year of Coding Agents (Anthropic, Cursor, Windsurf, CLIs, etc..)The Year of Data CentersAI Highlights and Lowlights (Corporate Layoffs, Acquihires, Funding, etc..)2026 AI DraftFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Did AI end up being a political force this year?

Glean started as a Kleiner Perkins incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it's next big swing. From building go-to-market the hard way in startups (and scaling Palo Alto Networks' public cloud business) to joining Kleiner Perkins to help technical founders turn product edge into repeatable revenue, Joubin Mirzadegan has spent the last decade obsessing over one thing: distribution and how ideas actually spread, sell, and compound. That obsession took him from launching the CRO-only podcast Grit (https://www.youtube.com/playlist?list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k) as a hiring wedge, to working alongside breakout companies like Glean and Windsurf, to now incubating Roadrunner which is an AI-native rethink of CPQ and quoting workflows as pricing models collapse from “seats” into consumption, bundles, renewals, and SKU sprawl. We sat down with Joubin to dig into the real mechanics of making conversations feel human (rolling early, never sending questions, temperature + lighting hacks), what Windsurf got right about “Google-class product and Salesforce-class distribution,” how to hire early sales leaders without getting fooled by shiny logos, why CPQ is quietly breaking the back of modern revenue teams, and his thesis for his new company and KP incubation Roadrunner (https://www.roadrunner.ai/): rebuild the data model from the ground up, co-develop with the hairiest design partners, and eventually use LLMs to recommend deal structures the way the best reps do without the Slack-channel chaos of deal desk. We discuss: How to make guests instantly comfortable: rolling early, no “are you ready?”, temperature, lighting, and room dynamics Why Joubin refuses to send questions in advance (and when you might have to anyway) The origin of the CRO-only podcast: using media as a hiring wedge and relationship engine The “commit to 100 episodes” mindset: why most shows die before they find their voice Founder vs exec interviews: why CEOs can speak more freely (and what it unlocks in conversation) What Glean taught him about enterprise AI: permissions, trust, and overcoming “category is dead” skepticism Design partners as the real unlock: why early believers matter and how co-development actually works Windsurf's breakout: what it means to be serious about “Google-class product + Salesforce-class distribution” Why technical founders struggle with GTM and how KP built a team around sales, customer access, and demand gen Hiring early sales leaders: anti-patterns (logos), what to screen for (motivation), and why stage-fit is everything The CPQ problem & Roadrunner's thesis: rebuilding CPQ/quoting from the data model up for modern complexity How “rules + SKUs + approvals” create a brittle graph and what it takes to model it without tipping over The two-year window: incumbents rebuilding slowly vs startups out-sprinting with AI-native architecture Where AI actually helps: quote generation, policy enforcement, approval routing, and deal recommendation loops — Joubin X: https://x.com/Joubinmir LinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction and the Zuck Interview Experience 00:03:26 The Genesis of the Grit Podcast: Hiring CROs Through Content 00:13:20 Podcast Philosophy: Creating Authentic Conversations 00:15:44 Working with Arvind at Glean: The Enterprise Search Breakthrough 00:26:20 Windsurf's Sales Machine: Google-Class Product Meets Salesforce-Class Distribution 00:30:28 Hiring Sales Leaders: Anti-Patterns and First Principles 00:39:02 The CPQ Problem: Why Salesforce and Legacy Tools Are Breaking 00:43:40 Introducing Roadrunner: Solving Enterprise Pricing with AI 00:49:19 Building Roadrunner: Team, Design Partners, and Data Model Challenges 00:59:35 High Performance Philosophy: Working Out Every Day and Reducing Friction 01:06:28 Defining Grit: Passion Plus Perseverance

Glean started as a Kleiner Perkins incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it's next big swing.From building go-to-market the hard way in startups (and scaling Palo Alto Networks' public cloud business) to joining Kleiner Perkins to help technical founders turn product edge into repeatable revenue, Joubin Mirzadegan has spent the last decade obsessing over one thing: distribution and how ideas actually spread, sell, and compound. That obsession took him from launching the CRO-only podcast Grit (https://www.youtube.com/playlist?list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k) as a hiring wedge, to working alongside breakout companies like Glean and Windsurf, to now incubating Roadrunner which is an AI-native rethink of CPQ and quoting workflows as pricing models collapse from “seats” into consumption, bundles, renewals, and SKU sprawl.We sat down with Joubin to dig into the real mechanics of making conversations feel human (rolling early, never sending questions, temperature + lighting hacks), what Windsurf got right about “Google-class product and Salesforce-class distribution,” how to hire early sales leaders without getting fooled by shiny logos, why CPQ is quietly breaking the back of modern revenue teams, and his thesis for his new company and KP incubation Roadrunner (https://www.roadrunner.ai/): rebuild the data model from the ground up, co-develop with the hairiest design partners, and eventually use LLMs to recommend deal structures the way the best reps do without the Slack-channel chaos of deal desk.We discuss:* How to make guests instantly comfortable: rolling early, no “are you ready?”, temperature, lighting, and room dynamics* Why Joubin refuses to send questions in advance (and when you might have to anyway)* The origin of the CRO-only podcast: using media as a hiring wedge and relationship engine* The “commit to 100 episodes” mindset: why most shows die before they find their voice* Founder vs exec interviews: why CEOs can speak more freely (and what it unlocks in conversation)* What Glean taught him about enterprise AI: permissions, trust, and overcoming “category is dead” skepticism* Design partners as the real unlock: why early believers matter and how co-development actually works* Windsurf's breakout: what it means to be serious about “Google-class product + Salesforce-class distribution”* Why technical founders struggle with GTM and how KP built a team around sales, customer access, and demand gen* Hiring early sales leaders: anti-patterns (logos), what to screen for (motivation), and why stage-fit is everything* The CPQ problem & Roadrunner's thesis: rebuilding CPQ/quoting from the data model up for modern complexity* How “rules + SKUs + approvals” create a brittle graph and what it takes to model it without tipping over* The two-year window: incumbents rebuilding slowly vs startups out-sprinting with AI-native architecture* Where AI actually helps: quote generation, policy enforcement, approval routing, and deal recommendation loops—Joubin* X: https://x.com/Joubinmir* LinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Where to find Latent Space* X: https://x.com/latentspacepodFull Video EpisodeTimestamps00:00:00 Introduction and the Zuck Interview Experience00:03:26 The Genesis of the Grit Podcast: Hiring CROs Through Content00:13:20 Podcast Philosophy: Creating Authentic Conversations00:15:44 Working with Arvind at Glean: The Enterprise Search Breakthrough00:26:20 Windsurf's Sales Machine: Google-Class Product Meets Salesforce-Class Distribution00:30:28 Hiring Sales Leaders: Anti-Patterns and First Principles00:39:02 The CPQ Problem: Why Salesforce and Legacy Tools Are Breaking00:43:40 Introducing Roadrunner: Solving Enterprise Pricing with AI00:49:19 Building Roadrunner: Team, Design Partners, and Data Model Challenges00:59:35 High Performance Philosophy: Working Out Every Day and Reducing Friction01:06:28 Defining Grit: Passion Plus Perseverance Get full access to Latent.Space at www.latent.space/subscribe

This episode is brought to you by Villa Carina Apartments in beautiful Bonaire. Welcome to the very first episode of the Foil Life Travel Show! Your go to series series dedicated to the world's best foil destinations, schools, accommodations and hidden gems. We're kicking off the journey in style with Carl from The Launch Pad Windsurf & Foil Academy on his private island in Georgian Bay, Ontario, Canada — hands-down one of the most stunning and unique teaching spots on the planet.In this premiere episode you'll discover:- Why a 45-year windsurfing veteran bought his own island and turned it into a full-time foil & windsurf academy- How Georgian Bay delivers Caribbean-looking water and surprisingly consistent summer breeze (thanks to Canadian Shield thermals + the biggest wind farm in Ontario nearby)- Carl's insanely effective (and fun) teaching system: the world's wobbliest land simulator, BB Talkin' headsets, tow-foiling, dry-land drills, and post-session island beers- Lessons in windsurfing, wind-foiling, and wing-foiling — with wing-foiling now ~50% of bookings- Crazy traveler-friendly pricing: only CAD $175 for a 2-hour private lesson (everything above costs gets donated to Toronto Windsurfing Club)- Water-access-only adventure: boat rentals, water taxis, nearby lodges & campsites all linked- Duotone & North-supported gear fleet including the magical iRig for kids and beginnersIf you've ever wanted to learn to foil (or level up) surrounded by crystal-clear Canadian wilderness that feels like the BVI but with zero crowds… this is your spot.Book your island foil adventure at: https://www.launchpadwindsurfacademy.ca/View Listing: https://foillifepodcast.com/the-launch-pad-windsurf-foil-academyNext stop… who knows? Drop your dream foil destination in the comments ⬇️#FoilTravelShow #001 #WingFoil #WindFoil #Windsurf #GeorgianBay #CanadaFoiling #LearnToFoil #PrivateIslandVibes #TheLaunchPad

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AI Assisted Coding: Building Reliable Software with Unreliable AI Tools In this special episode, Lada Kesseler shares her journey from AI skeptic to pioneer in AI-assisted development. She explores the spectrum from careful, test-driven development to quick AI-driven experimentation, revealing practical patterns, anti-patterns, and the critical role of judgment in modern software engineering. From Skeptic to Pioneer: Lada's AI Coding Journey "I got a new skill for free!"   Lada's transformation began when she discovered Anthropic's Claude Projects. Despite being skeptical about AI tools throughout 2023, she found herself learning Angular frontend development with AI—a technology she had no prior experience with. This breakthrough moment revealed something profound: AI could serve as an extension of her existing development skills, enabling her to acquire new capabilities without the traditional learning curve. The journey evolved through WindSurf and Claude Code, each tool expanding her understanding of what's possible when developers collaborate with AI. Understanding Vibecoding vs. AI-Assisted Development "AI assisted coding requires judgment, and it's never been as important to exercise judgment as now."   Lada introduces the concept of "vibecoding" as one extreme on a new dimension in software development—the spectrum from careful, test-driven development to quick, AI-driven experimentation. The key insight isn't that one approach is superior, but that developers must exercise judgment about which approach fits their context. She warns against careless AI coding for production systems: "You just talk to a computer, you say, do this, do that. You don't really care about code... For some systems, that's fine. When the problem arises is when you put the stuff to production and you really care about your customers. Please, please don't do that." This wisdom highlights that with great power comes great responsibility—AI accelerates both good and bad practices. The Answer Injection Anti-Pattern When Working With AI "You're limiting yourself without knowing, you're limiting yourself just by how you formulate your questions. And it's so hard to detect."   One of Lada's most important discoveries is the "answer injection" anti-pattern—when developers unconsciously constrain AI's responses by how they frame their questions. She experienced this firsthand when she asked an AI about implementing a feature using a specific approach, only to realize later that she had prevented the AI from suggesting better alternatives. The solution? Learning to ask questions more openly and reformulating problems to avoid self-imposed limitations. As she puts it, "Learn to ask the right way. This is one of the powers this year that's been kind of super cool." This skill of question formulation has become as critical as any technical capability.   Answer injection is when we—sometimes, unknowingly—ask a leading question that also injects a possible answer. It's an anti-pattern because LLM's have access to far more information than we do. Lada's advice: "just ask for anything you need", the LLM might have a possible answer for you. Never Trust a Single LLM: Multi-Agent Collaboration "Never trust the output of a single LLM. When you ask it to develop a feature, and then you ask the same thing to look at that feature, understand the code, find the issues with it—it suddenly finds improvements."   Lada shares her experiments with swarm programming—using multiple AI instances that collaborate and cross-check each other's work. She created specialized agents (architect, developer, tester) and even built systems using AppleScript and Tmux to make different AI instances communicate with each other. This approach revealed a powerful pattern: AI reviewing AI often catches issues that a single instance would miss. The practical takeaway is simple but profound—always have one AI instance review another's work, treating AI output with the same healthy skepticism you'd apply to any code review. Code Quality Matters MORE with AI "This thing is a monkey, and if you put it in a good codebase, like any developer, it's gonna replicate what it sees. So it behaves much better in the better codebase, so refactor!"   Lada emphasizes that code quality becomes even more critical when working with AI. Her systems "work silently" and "don't make a lot of noise, because they don't break"—a result of maintaining high standards even when AI makes rapid development tempting. She uses a memorable metaphor: AI is like a monkey that replicates what it sees. Put it in a clean, well-structured codebase, and it produces clean code. Put it in a mess, and it amplifies that mess. This insight transforms refactoring from a nice-to-have into a strategic necessity—good architecture and clean code directly improve AI's ability to contribute effectively. Managing Complexity: The Open Question "If I just let it do things, it'll just run itself to the wall at crazy speeds, because it's really good at running. So I have to be there managing complexity for it."   One of the most honest insights Lada shares is the current limitation of AI: complexity management. While AI excels at implementing features quickly, it struggles to manage the growing complexity of systems over time. Lada finds herself acting as the complexity manager, making architectural decisions and keeping the system maintainable while AI handles implementation details. She poses a critical question for the future: "Can it manage complexity? Can we teach it to manage complexity? I don't know the answer to that." This honest assessment reminds us that fundamental software engineering skills—architecture, refactoring, testing—remain as vital as ever. Context is Everything: Highway vs. Parking Lot "You need to be attuned to the environment. You can go faster or slow, and sometimes going slow is bad, because if you're on a highway, you're gonna get hurt."   Lada introduces a powerful metaphor for choosing development speed: highway versus parking lot. When learning or experimenting with non-critical systems, you can go fast, don't worry about perfection, and leverage AI's speed fully. But when building production systems where reliability matters, different rules apply. The key is matching your development approach to the risk level and context. She emphasizes safety nets: "In one project, we used AI, and we didn't pay attention to the code, as it wasn't important, because at any point, we could actually step back and refactor. We were not unsafe." This perspective helps developers make better judgment calls about when to accelerate and when to slow down. The Era of Discovery: We've Only Just Begun "We haven't even touched the possibilities of what is there out there right now. We're in the era of gentleman scientists—newbies can make big discoveries right now, because nobody knows what AI really is capable of."   Perhaps most exciting is Lada's perspective on where we stand in the AI-assisted development journey: we're at the very beginning. Even the creators of these tools are figuring things out as they go. This creates unprecedented opportunities for practitioners at all levels to experiment, discover patterns, and share learnings with the community. Lada has documented her discoveries in an interactive patterns and anti-patterns website, a Calgary Software Crafters presentation, and her Substack blog—contributing to the collective knowledge base that's being built in real-time. Resources For Further Study Video of Lada's talk: https://www.youtube.com/watch?v=_LSK2bVf0Lc&t=8654s Lada's Patterns and Anti-patterns website: https://lexler.github.io/augmented-coding-patterns/ Lada's Substack https://lexler.substack.com/ AI Assisted Coding episode with Dawid Dahl AI Assisted Coding episode with Llewellyn Falco Claude Flow - orchestration platform   About Lada Kesseler   Lada Kesseler is a passionate software developer specializing in the design of scalable, robust software systems. With a focus on best development practices, she builds applications that are easy to maintain, adapt, and support. Lada combines technical expertise with a keen eye for clean architecture and sustainable code, driving innovation in modern software engineering.   Currently exploring how these values translate to AI-assisted development and figuring out what it takes to build reliable software with unreliable tools.   You can link with Lada Kesseler on LinkedIn.

On today's episode of LaunchPod, we've got something special for you. Normally, you'd have to join us in person at one of the dinners we host for product leaders to hear this talk from Oji Udezue. But the response has been so great, we had to bring him onto the show again. Oji has previously held product leadership roles at Typeform, Twitter, Calendly, and Atlassian. Today, he's joining us to share a major problem in product delivery that he's seeing as AI adoption increases across teams. In this episode, we discuss: * The “three-speed problem,” as Oji calls it – how AI will bring about a 10x increase in engineering velocity. But where does that leave product management and go-to-market teams if they can't keep up? * Why AI is a BS term, as it's really five new AND distinct capabilities – and how to use those as a framework for smarter product strategy * And how his “shipyard model” for product teams will ensure you keep up and thrive, even as AI reshapes how we build software Links Oji's LinkedIn: https://www.linkedin.com/in/ojiudezue/ ProductMind: https://www.productmind.co/ Building Rocketships: Product Management for High-Growth Companies: https://www.productmind.co/building-rocketships-book Resources Oji's past LaunchPod episode: https://www.productmind.co/building-rocketships-book Claude: https://claude.ai/ Cursor: https://cursor.com/ Windsurf: https://windsurf.com/ Chapters 00:00 Introduction 1:21 Building Rocket Ships by Oji and Ezinne Udezue 1:55 What is the shipyard model in product? 5:20 The evolution of technology: Why AI is just a new technology level 7:50 The 5 flavors of AI 13:23 The limiting function of development is no longer the speed of engineering – but what is it now? 17:05 Solving the three-speed problem 21:32 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Oji Udezue.

Micky and I rank the top vibe coding apps in 2025, from Cursor and Claude Code to Lovable, V0, Bolt, Windsurf, and emerging mobile-focused platforms. They break down which tools work best for technical developers versus non-technical builders, discuss the trust and ecosystem factors that matter when choosing a platform, and share hard-won lessons about the mindset shift required to build software with AI assistance. Timestamps 00:00 – Intro 01:11 – Windsurf 03:46 – Cursor 06:33 – Lovable, v0, Bolt 10:17 – Mobile vibe coding: Rork, VibeCode App, Anything 15:04 – Codex 16:52 – Claude Code 18:28 – Replit 20:23 – Chef by Convex 21:39 – Advice for Vibe Coders Key Points Community size and tutorial availability matter as much as technical capability when choosing a vibe coding platform For technical developers, Cursor and Claude Code dominate; for non-technical builders, V0 offers the best balance of power and accessibility Mobile vibe coding platforms (Rourke, Vibe Code App, Anything) represent a new wave of opportunity, especially for consumer apps monetizing through TikTok discovery Non-technical builders need a mindset shift: building real software takes time, testing, and iteration—not five prompts Betting on a platform means betting on the team and founder behind it; follow their vision to choose the right tool The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MIC ON SOCIAL X/Twitter: https://x.com/rasmickyy  Youtube: https://www.youtube.com/@rasmic

Sora 2's new Character Cameo update brings your pets to AI video while OpenAI settles the whole non-profit mess. Oh, and Sam Altman says in 2028 AI will make itself. WHAT? Plus, 1x Robotics's new Neo robot is causing a big AI controversy. For now, it's all remote operated but WILL be autonomous. Are you ok with people watching you? Also: new AI video & audio tools from Cartesia & Odyssey and we get Cursor 2.0. And much more AI news. WE'RE NOT REMOTE OPERATED. UNFORTUNATELY.   Get notified when AndThen launches: https://andthen.chat/ Come to our Discord to try our Secret Project: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Sora 2 Character Cameos https://x.com/OpenAI/status/1983661036533379486 Sora Names For Kevin & Gavin's Pets: OlliePurcell & NotKevin.DrWes OpenAI IPO at 1 TRILLION DOLLARS?!? https://www.reuters.com/business/openai-lays-groundwork-juggernaut-ipo-up-1-trillion-valuation-2025-10-29/ Meanwhile, Sam Altman says that by 2028 we might get Full AI Engineers https://openai.com/live/  Bernie Sanders Says OpenAI Should Be Broken Up https://www.reddit.com/r/ChatGPT/comments/1ohd8lb/bernie_says_openai_should_be_broken_up_ai_like_a/ 1x Tech Neo Pre-Sale Video https://youtu.be/LTYMWadOW7c?si=7j8pZAM87pV-_Tnd WSJ Reporter Joanna Stern's More Realistic Look at It https://youtu.be/f3c4mQty_so?si=KvUPplgng2oN77yH Meanwhile, in China… Unitree G1 Pulls a Car https://www.reddit.com/r/robotics/comments/1oi0lil/researchers_at_beijing_academy_of_artificial/ Adobe MAX "Sneaks" https://www.youtube.com/live/_SBn0Iu3K-U?si=XUeD1NQlwZ8FUPIs Udio Partners With UMG But… No More Downloads For You https://www.udio.com/blog/a-new-era Cartesia Sonic-3: Very Good New Audio Model https://x.com/krandiash/status/1983202316397453676 Cursor 2.0 / Windsurf launch their OWN models… https://cursor.com/blog/2-0 Extropic  https://x.com/Extropic_AI/status/1983579587649904960 https://extropic.ai/ Odyssey-2 Live Real Time Video Gen https://x.com/odysseyml/status/1982856110290939989 https://experience.odyssey.ml/ iHollywood GLIF Agent https://x.com/fabianstelzer/status/1983155521705447850 Bots In The Hall - AI-created animation series https://www.youtube.com/watch?v=FtwWzhwQ2vs What if Michael Jackson Trained Anakin Skywalker? https://youtu.be/wVllBYOtELA?si=_Y0KzCY1TysRDU81

When code meets intuition, innovation gets personal. But what happens when we let AI vibe with our ideas? In this episode, Ron Eddings covers the rise of AI-driven development from Vibe Coding, where natural language shapes real code, to the emerging Model Context Protocols (MCPs) that redefine how apps talk to AI. He breaks down the recent Figma MCP vulnerability to discuss how creativity and security now collide in surprising ways. With hands-on insights using Raycast and practical steps for building responsibly, Ron takes you inside a new era where human intuition and machine intelligence truly build together.     Impactful Moments 00:00 - Introduction 01:00 - The Figma vulnerability explained 03:00 - Why MCP security matters 05:00 - What vibe coding really means 07:00 - Writing with intention and context 08:00 - The power of structured prompting 10:00 - How MCP connects everything 12:00 - Why adoption is skyrocketing 15:00 - Setting up an MCP server 17:00 - Agents, actions, and security trust 19:00 - The real takeaway: curiosity with caution 30:00 - Predictions on OpenAI's upcoming browser 33:00 - The profit battle between OpenAI and Microsoft 35:00 - Windsurf's rollercoaster of acquisitions   Links: Connect with our Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/ Check out the Hacker News article here:  https://thehackernews.com/2025/10/severe-figma-mcp-vulnerability-lets.html?m=1   Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/  

In today's episode, host Jim Love discusses the discovery of the 'Glass Worm,' a self-spreading malware hidden in Visual Studio Code extensions downloaded over 35,000 times. The worm, hiding its malicious JavaScript in invisible unicode characters, steals developer credentials and drains crypto wallets. He also covers the security flaws in AI-powered IDEs like Cursor and Windsurf, leaving 1.8 million developers vulnerable. Lastly, a new survey from ISACA reveals that AI-driven attacks are now the top cybersecurity concern for 2026, overtaking ransomware and insider threats. Love advises how developers and security teams can mitigate these threats. 00:00 Introduction and Shoutout 01:10 Cybersecurity Headlines 01:46 Glass Worm Malware in Visual Studio Code 04:06 AI-Powered IDEs with Security Flaws 06:00 AI-Driven Cybersecurity Threats 07:50 Conclusion and Contact Information

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

AI Assisted Coding: Agile Meets AI—How to Code Fast Without Breaking Things, With Llewellyn Falco In this BONUS episode we explore the practice of coding with AI—not just the buzzwords, but the real-world experience. Our guest, Llewellyn Falco, has been learning by doing, exploring the space of AI-assisted coding from the experimental and intuitive—what some call vibecoding—to the more structured world of professional, world-class software engineering. This is a conversation for practitioners who want to understand what's actually happening on the ground when we code with AI. Understanding Vibecoding "You can now program without looking at code. When you're in that space, vibecoding is the word we're using to say, we are programming in a way that does not relate to programming last year." The software development landscape shifted dramatically in early 2025. Vibecoding represents a fundamental change in how we create software—programming without constantly looking at the code itself. This approach removes many traditional limitations around technology, language, and device constraints, allowing developers to move seamlessly between different contexts. However, this power comes with responsibility, as developers can now move so fast that traditional safety practices become even more critical. From Concept to Working App in 15 Minutes "We wrote just a markdown page of ‘here's what we want this to look like'. And then we fed that to Claude Code. And 15 minutes later we had a working app on the phone." At the Agile 2025 conference in Denver, Llewellyn participated in a hackathon focused on helping psychologists prevent child abuse. Working with customer Amanda, a psychologist, and data scientist Rachel, the team identified a critical problem: clinicians weren't using the most effective parenting intervention technique because recording 60 micro-interactions in 5 minutes was too difficult and time-consuming. The team's approach embodied lean startup principles turned up to eleven. After understanding the customer's needs through exposition and conversation, they created a simple markdown specification and used Claude Code to generate a working mobile app in just 15 minutes. When Amanda tested it, she was moved to tears—after 20 years of trying to make progress on this problem, she finally had hope. Over three days, the team released 61 iterations, constantly getting feedback and refining the solution. Iterative Development Still Matters When Coding With AI "We need to see things working to know what to deliver next. That's never going to change. Unless you're building something that's already there." The team's success wasn't about writing a complete requirements document upfront. Instead, they delivered a minimal viable product quickly, tested it with real users, and iterated based on feedback. This agile approach proved essential even—or especially—when working with AI. One breakthrough came when Amanda used the number keypad instead of looking at her phone screen. With her full attention on the training video she'd watched hundreds of times, she noticed an interaction she had missed before. At that moment, the team knew they had created real value, regardless of what additional features they might build. Good Engineering Practices Without Looking at Code "We asked it to do good engineering practices, even though we didn't really understand what it was doing. We just sort of say, okay, yeah, that seems sensible." A critical moment came when the code had grown large and complex. Rather than diving into the code themselves, Llewellyn and his partner Lotta asked the AI to refactor the code to make a panel easy to switch before actually making the change. They verified functionality worked through manual testing but never looked at how the refactoring was implemented. This demonstrates that developers can maintain good practices like refactoring and clean architecture even when working at a higher level of abstraction. Key practices for AI-assisted development include: Don't accept AI's default settings—they're based on popularity, not best practices Prime the AI with the practices you want it to use through configuration files Tell AI to be honest and help you avoid mistakes, not just be agreeable Ask for explanations of architecture and evaluate whether approaches make sense Keep important decisions documented in markdown files that can be referenced later “The documentation is now executable. I can turn it into code” "The documentation is now executable. I can turn it into code. If I had to choose between losing my documentation or losing my code, I would keep the docs. I think I could regenerate the code pretty easily." In this new paradigm, documentation takes on new importance—it becomes the specification from which code can be regenerated. The team created and continuously updated markdown files for project context, architecture, and individual features. This practice allowed them to reset AI context when needed while maintaining continuity of their work. The workflow was bidirectional: sometimes they'd write documentation first and have AI generate code; other times they'd build features iteratively and have AI update the documentation. This approach using tools like Super Whisper for voice-to-text made creating and maintaining documentation effortless. Remove Deterministic Tasks from AI "AI is sloppy. It's inconsistent. Everything that can be deterministic—take it out. AI can write that code. But don't make AI do repetitive tasks." A crucial principle emerged: anything that needs to be consistently and repeatedly correct should be automated with traditional code, not left to AI. The team wrote shell scripts for tasks like auto-incrementing version numbers and created git hooks to ensure these scripts ran automatically. They also automated file creation with dates at the top, removing the need for AI to track temporal information. This principle works both ways—deterministic logic should be removed from underneath AI (via scripts and hooks) and from above AI (via orchestration scripts that call AI in loops with verification steps in between). Anti-Patterns to Avoid "The biggest anti-pattern is you're not committing frequently. I really want the ability to drop my context and revert my changes at a moment's notice." The primary anti-pattern when coding with AI is failing to commit frequently to version control. The ability to quickly drop context, revert changes, and start fresh becomes essential when working at this pace. Getting important decisions into documentation files and code into version control enables rapid experimentation without fear of losing work. Other challenges include knowing when to focus on the right risks. The team had to navigate competing priorities—customers wanted certain UX features, but the team identified data collection and storage as the critical unknown risk that needed solving first. This required diplomatic firmness in prioritizing work based on technical risk assessment rather than just user requests. Essential Tools for AI-Assisted Development "If you are using AI by going to a website, that is not what we are talking about here." To work effectively with AI, developers need agentic tools that can interact with files and run programs, not just chat interfaces. Recommended tools include: Claude Code (CLI for file interaction) Windsurf (VS Code-like interface) Cursor (code editor with AI integration) RooCode (alternative option) Super Whisper (voice-to-text transcription for Mac) Most developers working at this level have disabled safety guards, allowing AI to run programs without asking permission each time. While this carries risks, committing frequently to version control provides the safety net needed for rapid experimentation. The Power of Voice Interaction "Most of the time coding now looks like I'm talking. It's almost like Star Trek—you're talking to the computer and then code shows up." Using voice transcription tools like Super Whisper transformed the development experience. Speaking instead of typing not only increased speed but also changed the nature of communication with AI. When speaking, developers naturally provide more context and explanation than when typing, leading to better results from AI systems. This proved especially valuable in a crowded conference room where Super Whisper could filter out background noise and accurately transcribe the speakers' voices. The tool enabled natural, conversational interaction with development tools. Balancing Speed with Safety Over three days, the team released 61 times without comprehensive automated testing, focusing instead on validating user value through manual testing with the actual customer. However, after the hackathon, Llewellyn added automated testing by creating a test plan document through voice dictation, having AI clean it up and expand it, then generating Puppeteer tests and shell scripts to run them—all in about 40 minutes. This demonstrates a pragmatic approach: when exploring and validating with users, manual testing may suffice; but for ongoing maintenance and confidence, automated tests remain valuable and can be generated efficiently with AI assistance. The Future of Software Development "If you want to make something, there could not be a better time than now." The skills required for effective software development are shifting. Understanding how to assess risk, knowing when to commit code, maintaining good engineering practices, and finding creative solutions within system constraints remain critical. What's changing is that these skills are now applied at a higher level of abstraction, with AI handling much of the detailed implementation. The space is evolving rapidly—practices that work today may need adjustment in months. Developers need to continuously experiment, stay current with new tools and models, and develop instincts for working effectively with AI systems. The fundamentals of agile development—rapid iteration, customer feedback, risk assessment, and incremental delivery—matter more than ever. About Llewellyn Falco Llewellyn is an Agile and XP (Extreme Programming) expert with over two decades of experience in Java, OO design, and technical practices like TDD, refactoring, and continuous delivery. He specializes in coaching, teaching, and transforming legacy code through clean code, pair programming, and mob programming. You can link with Llewellyn Falco on LinkedIn.

In this episode, the hosts dive deep into 'vibe coding' and its potential impact on software development. They discuss a range of AI tools including Firebase Studio, Cursor, and Windsurf, demonstrating how these platforms can simplify and accelerate the coding process. The conversation highlights a hands-on demo of creating a functional, web-based chat application using Firebase Studio in just a few minutes. The hosts also tackle broader topics such as the accelerating pace of AI technology, its potential to replace a significant portion of the workforce, and the exponential growth of AI capabilities. They also touch upon security concerns and long-term implications of AI on businesses and society. 00:00 Introduction and Spoilers 00:16 Welcome to Project Synapse 00:56 AI Fears and Public Perception 02:05 Microsoft AI Tour Insights 03:13 AGI Predictions and Discussions 08:51 Vibe Coding and AI Tools 16:03 Enterprise-Grade Vibe Coding 23:29 Real-World Applications and Productivity 36:43 Reflecting on Rapid Technological Change 37:38 Understanding the Singularity and Exponential Growth 39:34 The Impact of AI on Productivity and Security 40:48 The Chessboard Parable and Exponential Technology 42:20 Challenges and Opportunities in ERP Systems 46:35 Vibe Coding Demonstration 48:32 Creating a Debate Chat App with AI 57:25 Refining and Troubleshooting AI-Generated Code 01:02:44 Future of AI and Job Displacement 01:04:31 Next Week's Agenda and Closing Remarks

The future has a way of showing up early to some places. In software engineering, one of those places is Cognition—the startup that made headlines in early 2024 with Devin, the world's first autonomous coding agent, and more recently with its acquisition of the AI code editor Windsurf.Scott Wu, Cognition's cofounder and CEO, has a front-row seat to what comes next. In this episode of AI & I, we talk with Wu about why the fundamentals of computer science still matter in an AI-first world, the direction he sees for the short- and long-term future of programming, and why he believes we may already be living with AGI.Timestamps: 00:00:00 – Start00:02:02 – Introduction00:02:32 – Why Scott thinks AGI is here00:09:27 – Scott's personal journey as a founder00:16:55 – Why the fundamentals of computer science still matter00:22:30 – How the future of programming will evolve00:26:50 – A new workflow for the AI-first software engineer00:29:33 – How Devin stacks up against Claude Code00:40:05 – Reinforcement learning to build better coding agents00:50:05 – What excites Scott about AI beyond CognitionIf you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Links to resources mentioned in the episode:Scott Wu: Scott Wu (@ScottWu46) Learn more about Cognition: https://cognition.ai/ Try the world's first autonomous coding agent: https://devin.ai/

The venture capital landscape is evolving, and a founder's choice of fund size and partner could make or break their business. In this episode, CJ sits down with Kyle Harrison, General Partner at Contrary and writer of the Substack Investing 101, to make sense of the changing incentives and power dynamics in the field of venture capital. He explains how capital agglomerators and cottage keepers are playing dramatically different games, how the ethics of backing competitors have changed since the advent of AI, why a fund's size is its strategy, and what the potential pitfalls of dilution could be for founders. The conversation also covers why the line between hype and tangible business value in AI is so blurry, the role of narrative as an economic driver, and why the most valuable thing a VC can offer might just be "borrowed credibility.”—LINKS:Kyle Harrison on LinkedIn: https://www.linkedin.com/in/kyle-harrison-9274b278/Contrary: https://www.contrary.comInvesting 101: CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: https://www.mostlymetrics.comLINKS MENTIONED:* “The Unholy Trinity of Venture Capital”: * “The Horse, The Jockey, or The Whole Race?” * Endowment Eddie on X (@endowment_eddie): https://x.com/endowment_eddie* “Institutionalized Belief In The Greater Fool”: * “The Unbundling of Venture Capital”: * “The Productization of Venture Capital”: https://kwharrison13.com/essays/the-productization-of-venture-capital—TIMESTAMPS:(00:00) Preview and Intro(02:23) Sponsor – Navan | Rillet | Pulley(07:13) VC Models: Cottage Keepers Versus Capital Agglomerators(11:16) Balancing Taking On Money and Finding Great Investments(16:35) Sponsor – Brex | Aleph | RightRev(20:54) Founder-Friendliness: The Ethics of Backing Competitors(26:33) When Fund Size Sabotages Outcomes(32:32) The Sins of Omission Versus Commission(36:02) The Dilution Trap for Operators in Venture-Backed Companies(38:17) Underestimating the Magnitude of the Outcomes(40:35) AI Hype, Valuation, and Real Business Impact(45:37) Market Psychology: Narrative and Story As Economic Drivers(48:21) Valuation: Cursor and Windsurf(52:50) The Unbundling of Venture Capital: What Founders Really Hire VCs For(1:01:47) Things To Consider When Choosing a VC(1:04:35) FTX Lessons & Compounding Growth(1:10:02) Kyle's Predictions for the Future of VC—SPONSORS:Navan is the all-in-one travel and expense solution that can give you access to exclusive, proprietary Nasdaq-validated data that reveals what's happening with corporate travel investments. See the Navan Business Travel Index at https://navan.com/bti.Rillet is the AI-native ERP modern finance teams are switching to because it's faster, simpler, and 100% built for how teams operate today. See how fast your team can move. Book a demo at https://www.rillet.com/metrics.Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: https://pulley.com/mostlymetrics.Brex offers the world's smartest corporate card on a full-stack global platform that is everything CFOs need to manage their finances on an elite level. Plus, they offer modern banking and treasury as well as intuitive expenses and accounting automation, bill pay, and travel. Find out more at https://www.brex.com/metricsAleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.##VentureCapital #VC #Startups #Founder #FundSize This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Howie Liu is the co-founder and CEO of Airtable, the no-code platform valued at around $12 billion. After a viral tweet declared “Airtable is dead” based on incorrect data, Howie led a radical transformation: reorganizing the entire company around AI, becoming an “IC CEO” who codes daily, and achieving over $100 million in free cash flow.What you'll learn:1. The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman)2. Why Howie uses AI hourly (not daily) and is Airtable's #1 inference-cost user globally3. Why CEOs must become ICs again in the AI era (and how to restructure your calendar to make it possible)4. Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment5. The specific skills product managers, engineers, and designers need to develop to succeed in the AI era6. Why evals can kill innovation (and when to use “vibes” instead)—Brought to you by:LucidLink—Real-time cloud storage for teamsDX—The developer intelligence platform designed by leading researchersClaude.ai—The AI for problem solvers and enterprise—Where to find Howie Liu• X: https://x.com/howietl• LinkedIn: https://www.linkedin.com/in/howieliu/• Email: howie@airtable.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Howie Liu and Airtable(04:05) The “Airtable is dead” viral tweet controversy(08:07) The rise of IC CEOs(10:57) AI's paradigm shift in product development(16:27) Specific changes Airtable has made(21:38) Fast- and slow-thinking teams(32:57) The emergence of new form factors in AI models(34:48) Airtable's vision and philosophy(40:20) Empowering teams with AI tools(46:50) Encouraging experimentation and play(50:55) Cross-functional skills in product teams(01:03:35) The importance of evals and open-ended testing(01:08:06) Key strategies for AI-driven success(01:12:43) Counterintuitive startup wisdom(01:22:21) Don't step away from the details that you love(01:25:50) Advice for aspiring engineers and designers(01:30:00) Lightning round and final thoughts—Referenced:• Airtable: https://www.airtable.com/• All In podcast: https://allin.com/• Nikita Bier on X: https://x.com/nikitabier• Figma: https://www.figma.com/• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder and CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Every: https://every.to/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Rippling: https://www.rippling.com/• Omni: https://www.airtable.com/lp/ai-psu-plp• How ChatGPT accidentally became the fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Palantir: https://www.palantir.com/• Harvey: https://www.harvey.ai/• v0: https://v0.dev/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Runway Game Worlds: https://play.runwayml.com/login• Sesame: https://www.sesame.com• NotebookLM: https://notebooklm.google• Salesforce: https://www.salesforce.com• Andrew Ofstad on LinkedIn: https://www.linkedin.com/in/aofstad/• Stripe: https://stripe.com/• Eames chair: https://en.wikipedia.org/wiki/Eames_Lounge_Chair• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• IDEO design thinking: https://designthinking.ideo.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The Studio on AppleTV+: https://tv.apple.com/us/show/the-studio/umc.cmc.7518algxc4lsoobtsx30dqb52• Silicon Valley on HBOMax: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Self Edge: https://www.selfedge.com/• Studio D'Artisan: https://www.selfedge.com/studio-dartisan• Whitesville T-shirt: https://store.toyo-enterprise.co.jp/shopbrand/ct48/• Guest Series | Dr. Paul Conti: How to Understand & Assess Your Mental Health: https://www.hubermanlab.com/episode/guest-series-dr-paul-conti-how-to-understand-and-assess-your-mental-health—Recommended books:• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555• The Three-Body Problem: https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032• Trauma: The Invisible Epidemic: How Trauma Works and How We Can Heal From It: https://us.amazon.com/Trauma-Invisible-Epidemic-Works-Heal/dp/1683647351/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what's working (and what's not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger.What you'll learn:1. Why we're moving from “product as artifact” to “product as organism” and what this means for builders2. Microsoft's “seasons” planning framework that allows them to adapt quickly in the AI era3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company6. The three-phase pattern every successful AI company follows (and why most fail at phase one)7. The rise of code-native interfaces and why GUIs might be going the way of the desktop8. What Asha learned from Satya Nadella about optimism—Brought to you by:Enterpret—Transform customer feedback into product growth: https://enterpret.com/lennyDX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: ⁠https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/171413445/my-biggest-takeaways-from-this-conversation⁠—Where to find Asha Sharma:• LinkedIn: https://www.linkedin.com/in/aboutasha/• Blog: https://azure.microsoft.com/en-us/blog/author/asha-sharma/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Asha Sharma(04:18) From “product as artifact” to “product as organism”(06:20) The rise of post-training and the future of AI product development(09:10) Successful AI companies: patterns and pitfalls(12:01) The evolution of full-stack builders(14:15) “The loop, not the lane”—the new organizing principle(16:24) The future of user interfaces: from GUI to code-native(19:34) The rise of the agentic society(22:58) The “work chart” vs. the “org chart”(26:24) How Microsoft is using agents(28:23) Planning and strategy in the AI landscape(35:38) The importance of platform fundamentals(39:31) Lessons from industry giants(42:10) What's driving Asha(44:30) Reinforcement learning (RL) and optimization loops(49:19) Lightning round and final thoughts—Referenced:• Copilot: https://copilot.microsoft.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• GitHub: https://github.com• Dragon Medical One: https://www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-medical-one• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Bolt: http://bolt.com• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Replit: https://replit.com/•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Sierra: https://sierra.ai/• Spark: https://github.com/features/spark• Peter Yang on X: https://x.com/petergyang• How AI will impact product management: https://www.lennysnewsletter.com/p/how-ai-will-impact-product-management• Instacart: http://instacart.com/• Terminator: https://en.wikipedia.org/wiki/Terminator_(franchise)• Porch Group: https://porchgroup.com/• WhatsApp: https://www.whatsapp.com/• Maslow's Hierarchy of Needs: https://www.simplypsychology.org/maslow.html• Satya Nadella on X: https://x.com/satyanadella• Perfect Match 360°: Artificial intelligence to find the perfect donor match: https://ivi-fertility.com/blog/perfect-match-360-artificial-intelligence-to-find-the-perfect-donor-match/• OpenAI's GPT-5 shows potential in healthcare with early cancer detection capabilities: https://economictimes.indiatimes.com/news/international/us/openais-gpt-5-shows-potential-in-healthcare-with-early-cancer-detection-capabilities/articleshow/123173952.cms• F1: The Movie: https://www.imdb.com/title/tt16311594/• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• The Home Depot: https://www.homedepot.com/• Dewalt Powerstack: https://www.dewalt.com/powerstack• Regret Minimization Framework: https://s3.amazonaws.com/kajabi-storefronts-production/sites/2147500522/themes/2148012322/downloads/rLuObc2QuOwjLrinx5Yu_regret-minimization-framework.pdf—Recommended books:• The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip: https://www.amazon.com/Thinking-Machine-Jensen-Coveted-Microchip/dp/0593832698• Tomorrow, and Tomorrow, and Tomorrow: https://www.amazon.com/dp/0593466497Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

This week, we discuss the US backing Intel, SaaS staying power, and AI's impact on deep work. Plus, Matt Ray's moving tips and more kolache talk in the after show. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/M2X6BtjZbIY?si=KljG_2Jtxt3kQ0Wf) 534 (https://www.youtube.com/live/M2X6BtjZbIY?si=KljG_2Jtxt3kQ0Wf) Runner-up Titles It's all in your head Little brother podcasting Chaos Monkey Inspections “Let's face it, everything runs on computers now.” AI - Army of Interns Rundown Intel SoftBank Group and Intel Corporation Sign $2B Investment Agreement (https://group.softbank/en/news/press/20250819?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosprorata&stream=top) Lutnick says Intel has to give government equity in return for CHIPS Act funds (https://www.cnbc.com/2025/08/19/lutnick-intel-stock-chips-trump.html) Trump Administration Discusses Taking 10% Stake in Intel (https://www.nytimes.com/2025/08/18/technology/intel-trump-government-stake.html) The Return of Software (https://cloudedjudgement.substack.com/p/clouded-judgement-81525-the-return?utm_source=post-email-title&publication_id=56878&post_id=171007535&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Pro (https://newsletter.cote.io/p/the-long-slog-to-enterprise-ai-roi)mpting is easy, people are hard. (https://newsletter.cote.io/p/the-long-slog-to-enterprise-ai-roi) J (https://blogs.vmware.com/tanzu/accelerating-enterprise-application-upgrades-through-legacy-dependency-migration-spring-application-advisor-1-4/)ust updating your Java version gets people's hearts racing (https://blogs.vmware.com/tanzu/accelerating-enterprise-application-upgrades-through-legacy-dependency-migration-spring-application-advisor-1-4/). Deep Thinking Will AI Usher In the End of Deep Thinking? — Plain English with Derek Thompson (https://overcast.fm/+1LedSb-rY) Will AI Usher In the End of Deep Thinking? - The Ringer (https://www.theringer.com/podcasts/plain-english-with-derek-thompson/2025/08/06/will-ai-usher-in-the-end-of-deep-thinking) AI coding tools may not speed up every developer, study shows (https://techcrunch.com/2025/07/11/ai-coding-tools-may-not-speed-up-every-developer-study-shows/) Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/) Relevant to your Interests Apple returns blood oxygen monitoring to the latest Apple Watches (https://www.theverge.com/news/759158/apple-watch-blood-oxygen-redesign-import-ban-wearables-smartwatch) The AI Investor (https://www.tiktok.com/t/ZT69d8Hok/) Apple's Wallet app just made Amazon returns easy, and more is coming (https://9to5mac.com/2025/08/15/apples-wallet-app-just-made-amazon-returns-easy-and-more-is-coming/?utm_source=dlvr.it&utm_medium=threads) Cognition Cinches About $500 Million to Advance AI Code-Generation Business (https://www.wsj.com/articles/cognition-cinches-about-500-million-to-advance-ai-code-generation-business-f65f71a9?gaa_at=eafs&gaa_n=ASWzDAir99K7QB0w1qonPhka9OP5_gxNN3faR__k1W2X3c_uht4Qw8-iBUc3YSXEbGs%3D&gaa_ts=689f1c5d&gaa_sig=4Lrf1ofr1zz-ygVncMeYKnNpfY3K1CdSTmju81iOmlFVF1i-8ZVX_-sF2ax6KLj7oItxxLPZGMfWZ9m4BC8JPA%3D%3D) Three weeks after acquiring Windsurf, Cognition offers staff the exit door (https://techcrunch.com/2025/08/05/three-weeks-after-acquiring-windsurf-cognition-offers-staff-the-exit-door/) Nonsense Interview with Senior DevOps engineer 2025 (https://www.youtube.com/watch?v=rXPpkzdS-q4) Conferences SpringOne (https://www.vmware.com/explore/us/springone?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/watch?v=f_xOudsmUmk). Explore 2025 US (https://www.vmware.com/explore/us?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/shorts/-COoeIJcFN4). Wiz Capture the Flag (https://www.wiz.io/events/capture-the-flag-brisbane-august-2025), Brisbane, August 26. SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Coté speaking, Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th to 16th, London. SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: America's Team: The Gambler and His Cowboys (https://www.netflix.com/title/81725526) Matt: IKEA delivery Coté: Patagonia Nomad Volleyball shorts (https://www.bergfreunde.nl/patagonia-nomader-volley-shorts/), Terravia Tote Pack 24L (https://eu.patagonia.com/nl/en/product/terravia-convertible-tote-bag-backpack-24-liters/48814.html?srsltid=AfmBOooGcq2Uw8_xrjrS5zA7KsPGMTDxtUJd1n7YPU-gF-d4BgDNYaJF). Photo Credits Header (https://unsplash.com/photos/a-room-filled-with-lots-of-boxes-and-plants-j7vbBmTHmjY)

This is Alex Heath, your Thursday episode guest host and deputy editor at The Verge. One of the biggest topics in AI these days is agents — the idea that AI is going to move from chatbots to reliably completing tasks for us in the real world. But the problem with agents is that they really aren't all that reliable right now. There's a lot of work happening in the AI industry to try and fix that, and that brings me to my guest today: David Luan, the head of Amazon's AGI research lab, a cofounder of Adept, and a former VP of engineering at OpenAI. David and I discussed the release of GPT-5, what Amazon wants with agents, and where he thinks the AI race is headed next. Read the full transcript on The Verge. Links:  The Platonic Representation Hypothesis | Phillip Isola Amazon plays catch-up with new Nova models to generate voices, video | Verge Amazon's new AI agent is designed to do your shopping | Verge Microsoft is racing to build an AI ‘agent factory' | Verge OpenAI's new ChatGPT Agent can control an entire computer | Verge 24 hours with Alexa Plus: we cooked, we chatted, and it kinda lied to me | Verge Why AI researchers are getting paid like NBA All-Stars | Decoder OpenAI's Windsurf deal is off — and Windsurf's CEO is going to Google | Verge This is Big Tech's playbook for swallowing the AI industry | Command Line Amazon hires founders away from AI startup Adept | TechCrunch Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. Our editor is Ursa Wright.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Brian Balfour is the founder of Reforge, the former VP of Growth at HubSpot, and a student (and teacher) of product growth. Brian has studied every major platform shift—from Facebook to Apple to Google—and he's spotted a pattern that's about to repeat with ChatGPT.In this conversation, you'll learn:1. The 4-step cycle every platform follows (and why ChatGPT just entered step 2)2. Why ChatGPT's platform launch could be bigger than Facebook's early platform3. The exact signals that ChatGPT will launch a third-party platform within six months4. Why you have six months (not years) to make your platform bet5. Why companies that don't integrate with ChatGPT will lose to competitors that do6. How Zynga grew to $1B by betting on Facebook's platform early (before it was obvious)7. Why so few companies are actually doing what they need to be doing right now—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-chatgpt-will-be-the-next-big-growth-channel-brian-balfour—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170294620/my-biggest-takeaways-from-this-conversation—Where to find Brian Balfour:• X: https://twitter.com/bbalfour• LinkedIn: https://www.linkedin.com/in/bbalfour/• Website: https://brianbalfour.com/• Substack: https://blog.brianbalfour.com/• Podcast: https://www.reforge.com/podcast/unsolicited-feedback—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Brian!(04:13) The changing landscape of product growth(05:09) The importance of distribution(08:14) The role of new distribution platforms(09:45) The four-step cycle of distribution platforms(17:38) Examples of platform cycles(30:01) The rise of ChatGPT(44:47) The future of AI agents(46:01) Preferred partners and platform credibility(47:18) Monetization mechanisms and free tiers(48:14) Betting strategies for startups(01:04:34) Adopting AI tools: challenges and strategies(01:08:41) The importance of hard constraints(01:14:23) Effective AI adoption in companies(01:19:05) Lightning round and final thoughts—Referenced:• The Next Great Distribution Shift: https://blog.brianbalfour.com/p/the-next-great-distribution-shift• Brian Balfour: 10 lessons on career, growth, and life: https://www.lennysnewsletter.com/p/brian-balfour-10-lessons-on-career• This Week #9: Breaking into growth, leading with influence, and (not) stepping on toes: https://www.lennysnewsletter.com/p/this-week-9-breaking-into-growth• Distribution vs. Innovation: https://a16z.com/distribution-vs-innovation/• On Platform Shifts and AI: https://caseyaccidental.com/on-platform-shifts-and-ai/• How to sell your ideas and rise within your company | Casey Winters, Eventbrite: https://www.lennysnewsletter.com/p/how-to-sell-your-ideas-and-rise-within• Thinking beyond frameworks | Casey Winters (Pinterest, Eventbrite, Airbnb, Tinder, Canva, Reddit, Grubhub): https://www.lennysnewsletter.com/p/thinking-beyond-frameworks-casey• ChatGPT: https://chatgpt.com/• Claude: https://claude.ai/• Gemini: https://gemini.google.com/• Vine: https://en.wikipedia.org/wiki/Vine_(service)• Periscope: https://en.wikipedia.org/wiki/Periscope_(service)• Myspace: https://en.wikipedia.org/wiki/Myspace• Friendster: https://en.wikipedia.org/wiki/Friendster• AltaVista: https://en.wikipedia.org/wiki/AltaVista• Lycos: https://www.lycos.com/• HubSpot: https://www.hubspot.com/• Zynga: https://www.zynga.com/• TBPN: https://www.tbpn.com/• Deedy Das on LinkedIn: https://www.linkedin.com/in/debarghyadas/• ChatGPT's product retention curves are a product manager's wet dream: https://www.linkedin.com/posts/debarghyadas_chatgpts-product-retention-curves-are-a-activity-7338384752393035776-ice1/• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Udemy: https://www.udemy.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Notion: https://www.notion.com/• Airtable: https://www.airtable.com/• Monday: monday.com• Sierra: http://sierra.ai• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Introducing ChatGPT agent: bridging research and action: https://openai.com/index/introducing-chatgpt-agent/• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Marc Andreessen on Why Optimism Is the Safest Bet: https://nymag.com/marc-andressen-2014-10-20/• Reforge: https://www.reforge.com• Reforge Insights: https://www.reforge.com/insights• Shopify: https://www.shopify.com/• 25 proven tactics to accelerate AI adoption at your company: https://www.lennysnewsletter.com/p/25-proven-tactics-to-accelerate-ai• Clouded Judgement: https://cloudedjudgement.substack.com/• NFX: https://www.nfx.com/news• James Currier: https://www.nfx.com/team/james-currier• Hallway Chat: https://www.hallwaychat.co/• Bryan Johnson on LinkedIn: https://www.linkedin.com/in/bryanrjohnson/• Silicon Valley on HBO: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Stick: https://tv.apple.com/us/show/stick/umc.cmc.52w04zy67tiv11p8xvbc57wmc• Ergonofis standing desks: https://ergonofis.com/en-us/collections/standing-desks• Coping with the loss of a child and protecting your time | Brian Balfour (father of 2, CEO and founder Reforge, venture partner): https://www.startupdadpod.com/coping-with-the-loss-of-a-child-and-protecting-your-time-brian-balfour-father-of-2-ceo-and-found/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

There's been a wave of M&A deals lately - Meta and Scale, Windsurf and Google - and a lot of it points to something bigger: how regulation, capital, and innovation are colliding in 2025.In this episode Erik Torenberg brings together Steven Sinofsky, former Microsoft Executive and Balaji Srinivasan, founder of the Network School, and author of the Network State to break it all down. From acquihires to “acquifires,” from FTC crackdowns to the deeper battle between the state and the network, this is a sharp conversation on the future of tech and power. ResourcesFind Balaji on X: https://x.com/balajisFind Steven on X: https://x.com/stevesiLearn more about The Network State: https://thenetworkstate.comLearn more about The Network School: https://ns.com 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.

First, a collection of first reactions to GPT-5. This week saw major AI shifts — from web-scraping battles to the brutal economics of AI coding startups. Cloudflare took aim at Perplexity over “stealth crawling,” Google defended AI overviews against claims they hurt web traffic, and reports revealed that coding firms like Windsurf and Replit face severe negative margins despite rapid growth. Also in the mix: Google's Jules coding agent launch, N8N's potential $2.3B valuation as the first pure-play agentic company, Microsoft's talent raids on Google DeepMind, and OpenAI's $500B secondary talks with $1.5M employee bonuses and $1 government-agency deals. Together, these stories show the fierce power struggles and harsh economics shaping AI's next era.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

This is Alex Heath, deputy editor at The Verge. My guest today is GitHub CEO Thomas Dohmke. In many ways, GitHub Copilot set off the current AI coding boom. But since Thomas was on the show a year ago, the rise of vibe coding has shifted the buzz to newer platforms like Cursor and Windsurf. As you'll hear in our conversation, Thomas is thinking a lot about the competition, and GitHub's role in the future of software development.  Links: Developers, Reinvented | Thomas Dohmke / GitHub Developer Odyssey | Thomas Dohmke / GitHub Why tech is racing to adopt AI coding, with Cursor's Michael Truell | Decoder GitHub CEO Thomas Dohmke says AI needs competition to thrive | ⁠⁠Decoder⁠⁠ Up to 30 percent of some Microsoft code is now written by AI | Verge GitHub launches its AI app-making tool in preview | Verge Microsoft is getting ready for GPT-5 with a new Copilot smart mode | Verge Zuckerberg: AI will write most Meta code within 18 months | Engadget Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. This episode was edited by Xander Adams. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, they explore Meta's bold push into AI with the launch of Meta Superintelligence Labs, the dramatic twists in the Windsurf acquisition The post SED News: Meta's AI Gambit, Windsurf Shake‑Up, and the UK VPN Surge appeared first on Software Engineering Daily.

This is Alex Heath, your Thursday episode guest host and deputy editor at The Verge. Today I'm joined by Hayden Field, The Verge's new senior AI reporter to talk about the AI talent wars and why some researchers are suddenly getting traded like their NBA superstars. Both Hayden and I have been reporting on this for the past several weeks to get a sense of much these companies are paying for top talent, why Big Tech firms like Google are opting to hire instead of acquire, and what it means that some of the most sought-after AI experts in the world are no longer motivated by money alone.  Links:  OpenAI's Windsurf deal is off — and Windsurf's CEO is going to Google | Verge Mark Zuckerberg promises you can trust him with superintelligent AI | Verge Meta is trying to win the AI race with money — but not everyone can be bought | Verge Meta says it's winning the talent war with OpenAI | Command Line Google gets its swag back | Command Line The AI talent wars are just getting started | Command Line Meta tried to buy Safe Superintelligence, hired CEO Daniel Gross instead | CNBC Apple loses top AI models executive to Meta's hiring spree | Bloomberg Meta's AI recruiting campaign finds a new target | Wired Anthropic hires back two coding AI leaders From Anysphere | The Information Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. Our editor is Ursa Wright.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Scott and Wes share their top strategies for getting high-quality results from AI coding tools like Cursor, Claude, ChatGPT, and Windsurf. From better prompting to building reusable rule sets, they cover practical tips for making AI your most productive coding partner. Show Notes 00:00 Welcome to Syntax! Wes' Tweet 02:56 How to get the best results when using AI. 03:15 Scaffold it out yourself. 05:40 Be clear with your prompts. 07:45 Use XML tags around specific items 08:47 Utilize Rules like Cursor rules or Copilot rules. 13:20 Ask it to create some rules based on an existing codebase. 16:03 Break things down into clear concise actionable items. 17:22 Where to store your rules files. 18:37 Utilizing llm.txt files. 19:24 Context7. 20:28 Tag relevant files, functions, etc. 21:38 Feed logs back into the AI. 22:36 Logging Errors. 22:54 Brought to you by Sentry.io. 24:14 Long running chats get worse. Wes' Tweet Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Today's five‑minute headlines cover the strongest signal yet that GPT‑5 will drop in early August, GitHub's Spark entry into vibe coding, Satya Nadella's morale memo amid Microsoft layoffs, and fresh controversy around Google's Windsurf acqui‑hire. Then we zoom out with Nvidia CEO Jensen Huang, who lays out nine sweeping forecasts—from an AI‑driven wealth boom and twin‑factory industries to a multi‑trillion‑dollar infrastructure rush—that sketch the next decade of AI disruption and opportunity.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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: smarty.com/twit agntcy.org

Scott and Wes break down how to code with and for AI; perfect for skeptics, beginners, and curious devs. They cover everything from Ghost Text and CLI agents to building your own AI-powered apps with embeddings, function calling, and multi-model workflows. Show Notes 00:00 Welcome to Syntax! 03:56 How to interface with AI. 04:07 IDE Ghost Text. 05:45 IDE Chat, Agents. 08:00 CLI Agents. Claude Code. Open Code. Gemini. 11:13 MCP Servers. Context7 14:47 GUI apps. v0. Bolt.new. Lovable. Windsurf. 19:07 Existing Chat app like ChatGPT. 22:37 Building things WITH AI. 23:32 Prompting. 26:53 Streaming VS not streaming. 28:14 Embeddings and Rag. 31:09 MCP Server. CJ's MCP Deep Dive. 32:36 Brought to you by Sentry.io. 33:25 Multi-model, multi-provider. 36:27 npm libs to use to code with AI. OpenAI SDK. AI SDK. Cloudflare Agents. Langchain. Local AI Tensorflow. Transformers.js. Huggingface. 44:12 Processes and exploring. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

This week, we tick through the many dramatic headlines surrounding xAI, including the departure of X's chief executive, Linda Yaccarino; the Grok chatbot spewing antisemitic comments; and the A.I. companion Ani engaging in sexually explicit role-play. Then, we explain why a fight to acquire the start-up Windsurf startled many in Silicon Valley and may reshape the culture in many of the big A.I. labs. And finally, it's “crypto week.” David Yaffe-Bellany explains how crypto provisions in the bills before Congress and the president could affect even people who don't hold digital currencies.Also, we officially have merch! For a limited time, you can get a special-edition “Hard Fork” hat when you purchase an annual New York Times Audio subscription for the first time. Get your hat at nytimes.com/hardforkhatGuests:David Yaffe-Bellany, New York Times technology reporter covering the crypto industryAdditional Reading:Elon Musk's Grok Chatbot Shares Antisemitic Posts on XGoogle Hires A.I. Leaders From a Start-Up Courted by OpenAICognition AI Buys Windsurf as A.I. Frenzy Escalates‘Crypto Week' Is Back on Track After House G.O.P. Quells Conservative RevoltThe ‘Trump Pump': How Crypto Lobbying Won Over a President We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin, the world's first AI software engineer. On Friday last week they pulled off the acquisition of the year, acquiring Windsurf, following their licensing agreement with Google. Previously a world-class competitive programmer, he was a gold medalist at the International Olympiad in Informatics and a member of the U.S. Math and Physics Olympiad teams. Before Cognition, he was a founding engineer at Scale AI, helping shape the early AI infrastructure stack. AGENDA: 00:00 – Why are founders walking away instead of going down with the ship? 01:05 – How did Cognition pull off the $220M Windsurf deal in just 72 hours? 04:45 – What really happened behind closed doors the weekend Windsurf was acquired? 07:15 – Did Google overlook a goldmine in the Windsurf team and IP? 09:00 – Who are the 100 people that secretly shape the future of AI? 12:30 – Can application startups ever gain leverage over foundation model giants like Anthropic? 14:15 – Is coding about to be replaced by simply describing what you want? 17:30 – 50% of new code is AI-written. Where does that go next? 20:45 – “We've gone from 0 to $80M ARR in 6 months. Quietly.” 25:00 – Are IDEs and agents just the training wheels for the real future of software engineering? 28:20 – If you could only back one—OpenAI or Anthropic—who's the better bet? 30:00 – Why has Cognition kept its insane growth a secret… until now?    

Microsoft just made a major change to the Windows 11 install media, and you're not going to believe what happens next! Plus, the AI spelling and grammar checking app/service that Paul relies on. And yes, he does pay for it. Windows 11 Copilot Vision gets full Desktop support, Voice integration across all Insider channels Click to Do gets a "Describe image" action, Administrator protection, App permission dialog changes in Dev (25H2) and Beta (24H2) Canary finally gets the features everyone else has had for a while now Also, Microsoft quietly killed the simplified date/time in the Windows 11 Taskbar because no one liked it PC sales grew 5 percent in Q2 but there is a BIG caveat Semi-related: Google is "combining" ChromeOS and Android ChromeOS will build on Android going forward, smart Even less related: HMD quietly pulls Nokia out of the U.S. market, the dream is over Microsoft 365, AI Microsoft layoffs directly attributed to AI Microsoft scuttled OpenAI's acquisition of Windsurf and all hell broke loose Google snapped up key execs and engineers and licensed Windsurf for $2.4 billion All's well that ends well: Cognition acquires Windsurf Microsoft keeps changing the terms of the deal: Microsoft 365 apps will be updated on Windows 10 only through August 2026 Microsoft 365 Copilot is finally getting a Memory OpenAI is going to war with Microsoft and the world It's working on a web browser It's also working on an office productivity suite of sorts Google NotebookLM gets curated featured notebooks. This is emerging as one of the more useful AI tools Xbox and Gaming Xbox app for Windows 11 gets "Stream your own game" functionality Grounded 2, more coming to Game Pass in second half of July Cyberpunk 2077 is coming to the Mac for some reason Tips & Picks Tip of the week: Save big on PCs, go refurbished App pick of the week: LanguageTool for Desktop RunAs Radio this week: Fabric in 2025 with Arun Ulag Brown liquor pick of the week: Slane Triple Casked Blend Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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: helixsleep.com/twit bitwarden.com/twit uscloud.com

Has the US government suddenly allowed Nvidia back in business in China? A segment wherein I make the case the GW's are the new metric that matters to the tech industry, over and above anything else. Windsurf finds a permanent home. And is China already producing the smartglasses Zuck wants to see next?Links:Nvidia, AMD to Resume AI Chip Sales to China in US Reversal (Bloomberg)Apple to Buy Rare Earths From Pentagon-Backed US Producer MP (Bloomberg)Zuckerberg Says Meta Will Build Gigawatt-Size Data Centers (Bloomberg)Meta's New Superintelligence Lab Is Discussing Major A.I. Strategy Changes (NYTimes)Cognition AI Buys Windsurf as A.I. Frenzy Escalates (NYTimes)China's AI glasses market takes shape as Xiaomi's entry inspires early adopters (SCMP)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Google snatched the Windsurf acquisition out from under OpenAI in a big new acquihire. SpaceX is investing in xAI. ChromeOS and Android to merge, but for real this time? Was there a new sort of DeepSeek moment over the weekend? And example number 74 of how YouTube is now the king of video entertainment.Links:Google to Pay $2.4 Billion for Windsurf Staff, IP After Startup Ends OpenAI Talks (The Information)Google Is Said to Pay $2.4 Billion for Windsurf Assets, Talent (Bloomberg)An OpenAI Acquisition Turns Into a Google 'Hackqusition'... (Spyglass)Elon Musk's xAI seeks up to $200bn valuation in next fundraising (Financial Times)SpaceX to Invest $2 Billion Into Elon Musk's xAI (WSJ)Google exec: ‘We're going to be combining ChromeOS and Android' (The Verge)'I think you see the future first on Android' – Google's Android leader Sameer Samat (TechRadar)Moonshot AI's Kimi K2 outperforms GPT-4 in key benchmarks — and it's free (VentureBeat)Eight Things We've Learned About Hollywood This Year (Bloomberg)The Streaming Wars Come Down to 2: YouTube vs. Netflix (NYTimes)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today's show:On today's show… Jason and Alex are considering the fallout of Windsurf's OpenAI deal, the company's latest agreements with both Google and Cognition AI, and how “blitzhiring” is actually playing out in real-world startups.Plus Jason's short- and medium-term predictions for AI's impact on the job market, Tesla's latest expansion of its Austin robotaxi service, Mistral giving the EU a real stake in the AI model race, a look back at the SnapStream live TV archiving service, AND an update on how much more time we have until all our servers are obsolete.All that and more on a brand new Monday edition of This Week in Startups.Timestamps:(02:20) Influencers caught an arsonist in LA's Runyon Canyon? (Don't worry, there's always a startup angle)(10:38) Coda - Empower your startup with Coda's Team plan for free—get 6 months at https://www.Coda.io/twist(12:56) Windsurf's OpenAI deal fell through… but there are breaking updates!(20:11) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(23:46) The gap from prototype to production in AI remains HUGE(29:52) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/credits(34:56) Things are going well for Tesla's Austin rollout, but will regulators demand LIDAR systems anyway?(45:47) Maybe NOTHING that's happening right now in AI is as important as what's to come?(54:31) Follow-Up: So how much more time until all of our servers are obsolete? What happens to them when they're removed?Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:38) Coda - Empower your startup with Coda's Team plan for free—get 6 months at https://www.Coda.io/twist(20:11) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(29:52) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/creditsGreat TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Just about every big tech company made splashes in AI this week.↳ Google acqui-hired a company that OpenAI failed to straight up acquire↳Microsoft is investing $4 billion into AI training↳ OpenAI is going after the AI browser space↳ and Meta reportedly spent more than $200 million on one employeeSheeeeesh. It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's AI Browsers vs. Google ChromePerplexity's Comet Browser Launch StrategyXAI's Controversial Grok4 Alignment IssuesTeacher Union's AI Training PartnershipMicrosoft Elevate AI Training InitiativeNVIDIA's $4 Trillion Market Cap MilestoneGoogle Acqui-hires Windsurf for DeepMindMeta's $200M Apple AI Talent AcquisitionTimestamps:00:00 "Everyday AI: Weekly News Recap"05:36 Perplexity's Comet: Agentic Browser Shift06:49 AI-Powered Browsing with Perplexity's Comet10:44 "Grok 4: Aligns with Musk's Views"15:37 AI Workshops for Teachers Nationwide18:32 Microsoft's Elevate Program: AI Access & Trust19:51 AI Strategy and Training Partners23:13 Google Hires Wind Surf Executives29:04 AI Updates: Claude's MCP and Google Gemini31:36 AI Developments: Browsers, Training, Market MovesKeywords:Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Jake Knapp and John Zeratsky are the co-creators of the Design Sprint (the famous five-day product innovation process) and authors of the bestselling book Sprint. After decades of working with over 300 startups in the earliest stages, they discovered that most startups fail not because they can't build, but because they build the wrong thing. The very beginning of a startup is your highest-leverage moment, and most teams waste months or years by skipping a few critical early questions. Jake and John developed the Foundation Sprint to help startups validate ideas and compress months of work into just two days.What you'll learn:1. The step-by-step Foundation Sprint process that compresses three or four months of validation into two days—including templates you can use immediately2. Why differentiation is the #1 predictor of startup success (with the 2x2 framework that you can use with your team)3. The three fundamental questions every founder should answer before writing a line of code4. The “note and vote” technique that eliminates groupthink and gets honest answers from your colleagues5. The seven “magic lenses” for choosing between multiple product ideas6. The biggest mistake engineers make when building with AI tools7. The paradox of speed: why “building nothing first” can get you to product-market fit faster—Brought to you by:Brex—The banking solution for startups: https://www.brex.com/product/business-account?ref_code=bmk_dp_brand1H25_ln_new_fsParagon—Ship every SaaS integration your customers want: https://www.useparagon.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Transcript: https://www.lennysnewsletter.com/p/the-foundation-sprint-jake-knapp-and-john-zeratsky—Where to find Jake Knapp:• X: https://twitter.com/jakek• LinkedIn: https://www.linkedin.com/in/jake-knapp/• Website: https://jakeknapp.com/—Where to find John Zeratsky:• X: https://twitter.com/jazer• LinkedIn: https://www.linkedin.com/in/johnzeratsky/• Website: https://johnzeratsky.com/—In this episode, we cover:(00:00) Introduction to Jake Knapp and John Zeratsky(04:41) Origins of the Design Sprint(11:06) The Foundation Sprint process(14:40) Phase one: The basics(16:57) Case study: Latchet(28:50) Phase two: Differentiation(36:24) The importance of differentiation(40:15) Thoughts on price differentiation(43:37) Case study: Mellow(46:04) Custom differentiators(49:30) The mini manifesto(52:02) Phase three: Approach to the project(54:50) Magic lenses activity(01:02:39) Prototyping and testing(01:10:00) Real-world examples and success stories(01:15:15) Motivation behind The Foundation Sprint(01:17:15) The outcome of the sprint: The founding hypothesis(01:19:28) The Design Sprint(01:28:19) The role of AI in prototyping(01:36:50) Final thoughts and resources—Referenced:• Introducing the Foundation Sprint: From the creators of the Design Sprint: https://www.lennysnewsletter.com/p/introducing-the-foundation-sprint• Making time for what matters | Jake Knapp and John Zeratsky (authors of Sprint and Make Time, co-founders of Character Capital): https://www.lennysnewsletter.com/p/making-time-for-what-matters-jake• Eli Blee-Goldman on LinkedIn: https://www.linkedin.com/in/eli-blee-goldman/• Character Capital: https://www.character.vc/• Character Labs: https://www.character.vc/labs• Etsy: https://www.etsy.com/• Shopify: https://www.shopify.com/• Naming expert shares the process behind creating billion-dollar brand names like Azure, Vercel, Windsurf, Sonos, Blackberry, and Impossible Burger | David Placek (Lexicon Branding): https://www.lennysnewsletter.com/p/naming-expert-david-placek• Sonos: https://www.sonos.com/• Vercel: https://vercel.com/• Windsurf: https://windsurf.com/• April Dunford on product positioning, segmentation, and optimizing your sales process: https://www.lennysnewsletter.com/p/april-dunford-on-product-positioning• Positioning: https://www.lennysnewsletter.com/p/positioning• 10 things we know to be true: https://about.google/company-info/philosophy/• Gandalf: https://en.wikipedia.org/wiki/Gandalf• Frodo: https://en.wikipedia.org/wiki/Frodo_Baggins• Mordor: https://en.wikipedia.org/wiki/Mordor• 35 years of product design wisdom from Apple, Disney, Pinterest, and beyond | Bob Baxley: https://www.lennysnewsletter.com/p/35-years-of-product-design-wisdom-bob-baxley• The Primal Mark: How the Beginning Shapes the End in the Development of Creative Ideas: https://www.gsb.stanford.edu/faculty-research/publications/primal-mark-how-beginning-shapes-end-development-creative-ideas• Base44: https://base44.com/• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• Google Meet: https://meet.google.com/• Blue Bottle Coffee: https://bluebottlecoffee.com• Reclaim: https://reclaim.ai/• The official Foundation Sprint + Design Sprint template: https://www.character.vc/miro-template• Rippling: https://www.rippling.com/• Latchet: https://latchet.com/• Mellow: http://getmellow.com/• AxionOrbital: https://axionorbital.space/—Recommended books:• Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days: https://www.amazon.com/Sprint-audiobook/dp/B019R2DQIY• Make Time: How to Focus on What Matters Every Day: https://www.amazon.com/Make-Time-Focus-Matters-Every/dp/0525572422• Click: How to Make What People Want: https://www.amazon.com/Click-Make-What-People-Want/dp/1668072114Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

David Placek is the founder of Lexicon Branding, a company that focuses exclusively on the development of brand names for competitive advantage. Lexicon is behind iconic names such as Sonos, Microsoft's Azure, Windsurf, Vercel, Impossible Foods, BlackBerry, Intel's Pentium, Apple's PowerBook, and Swiffer. Over 40 years, David's team has named nearly 4,000 brands and companies, employing over 250 linguists and pioneering naming innovation.What you'll learn:1. The three-step process that generated names like Windsurf and Vercel2. How a name can give you the edge that no marketing budget can buy3. Why you won't “know it when you see it”4. Why Microsoft called Azure “a dumb name” before it became their billion-dollar cloud platform5. Why polarizing opinions are the strongest signal that you've found the right name6. How every letter of the alphabet creates a specific psychological vibration7. The diamond framework: a 4-step process any founder can use to find their perfect name8. Why domain names don't matter anymore in the age of AI—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsStripe—Helping companies of all sizes grow revenueOneSchema—Import CSV data 10x faster—Where to find David Placek:• LinkedIn: https://www.linkedin.com/in/david-placek-05a82/• Website: https://www.lexiconbranding.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to David and Lexicon Branding(04:44) The story of Sonos(09:27) The psychology of naming(11:33) The initial resistance to Microsoft's Azure(14:35) The importance of a great brand name(18:11) The three steps of naming: create, invent, implement(28:23) Qualities of great brand name creators(31:24) How long the naming process takes(32:12) The Windsurf case study(36:10) Naming in the AI era(39:37) When to change your name(43:10) The role of linguists(45:54) The power of letters in branding(48:15) The Vercel case study(50:12) The implementation phase(52:52) Client management and market success(55:16) The diamond exercise(01:04:23) Suspending judgment(01:07:31) Polarization and boldness(01:11:01) Domain names(01:12:48) Final thoughts and lightning round—Referenced:• PowerBook: https://en.wikipedia.org/wiki/PowerBook• Pentium: https://en.wikipedia.org/wiki/Pentium• BlackBerry: https://en.wikipedia.org/wiki/BlackBerry• Swiffer: https://www.swiffer.com/• Impossible Burger: https://impossiblefoods.com/• Vercel: https://vercel.com/• Windsurf: https://windsurf.com/• CapCut: https://www.capcut.com/• Azure: https://azure.microsoft.com/• Sonos: https://www.sonos.com/• John MacFarlane on LinkedIn: https://www.linkedin.com/in/john-macfarlane-08a8aa20/• Harry Potter: https://en.wikipedia.org/wiki/Harry_Potter_(film_series)• The Call of the Wild: https://en.wikipedia.org/wiki/The_Call_of_the_Wild• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Sound symbolism: https://en.wikipedia.org/wiki/Sound_symbolism• Anduril: https://www.anduril.com/• Anthropic: https://www.anthropic.com/• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Y Combinator: https://www.ycombinator.com/• Chevrolet Corvette: https://en.wikipedia.org/wiki/Chevrolet_Corvette• Viagra: https://www.viagra.com/• In vino veritas: https://en.wikipedia.org/wiki/In_vino_veritas• Infoseek: https://en.wikipedia.org/wiki/Infoseek• Andy Grove: https://en.wikipedia.org/wiki/Andrew_Grove• Churchill at War on Netflix: https://www.netflix.com/title/81609374• Yellowstone on Prime Video: https://www.amazon.com/Yellowstone-Season-1/dp/B07D7FBB8Z• 1883 on Prime Video: https://www.amazon.com/1883-Season-1/dp/B0B8JTS8QW• 1923 on Paramount+: https://www.paramountplus.com/shows/1923/• Taylor Sheridan on X: https://x.com/taylorSheridan• Hardy fly rods: https://www.hardyfishing.com/collections/fly-rods• T.E. Lawrence quote: https://www.goodreads.com/quotes/11340-all-men-dream-but-not-equally-those-who-dream-by• Lawrence of Arabia: https://www.imdb.com/title/tt0056172/• DreamWorks: https://www.dreamworks.com/—Recommended books:• Thucydides' Melian Dialogue: Commentary, Text, and Vocabulary: https://www.amazon.com/Thucydides-Melian-Dialogue-Commentary-Vocabulary/dp/0692772367• Resilience: Hard-Won Wisdom for Living a Better Life: https://www.amazon.com/Resilience-Hard-Won-Wisdom-Living-Better/dp/054432398X/• Churchill: Walking with Destiny: https://www.amazon.com/Churchill-Walking-Destiny-Andrew-Roberts/dp/1101980990—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Episode 713: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Jason Lemkin ( https://x.com/jasonlk ) about cloning yourself with AI and how ChatGPT will be the end of incumbent apps.  — Show Notes: (0:00) AI body doubles Users tell AI things they won't tell humans (15:15) The incumbents are dying (27:25) Inside the office of OpenAI (34:12) How to be an AI billionaire (44:40) The story of Saastr (55:49) Being a relentless recruiter (58:52) Seeing through the fog of war (1:07:53) The future of work for gen alpha — Links: • Want Sam's playbook to turn ChatGPT into your executive coach? Get it here: https://clickhubspot.com/ejv • Saastr - https://www.saastr.com/  • Delphi - https://www.delphi.ai/ • Windsurf - https://windsurf.com  • Coursiv - https://coursiv.io/  • Lovable - https://lovable.dev/  • Higsfield - http://higsfield.ai/  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC

For the full experience, watch this episode on YouTube: https://www.youtube.com/watch?v=d0j_n3OOM7c Episode 712: Sam Parr ( https://x.com/theSamParr ) talks to Greg Isenberg ( https://x.com/gregisenberg ) talk about how to find a startup idea and build it in a couple hours using AI.  — Show Notes: (0:00) Step 1: Find an idea (7:57) Step 2: Sketch out the idea (9:48) Step 3: Scope out the MVP (18:25) Step 4: Vibe code a prototype (36:06) Step 5: Vibe marketing the business (49:14) Step 6: AI agent product manager — Links: • Want Greg's guide to Build an AI Startup in 3 Hours with