Podcasts about Cursor

In this episode, Alexandra Sunderland (VP of Engineering at Fellow) pulls back the curtain on how she runs engineering with agentic workflows that actually move the needle: background coding agents in Cursor that fix bugs while she's in meetings, Claude + MCPs to query Linear and auto-generate reports in seconds, and Zapier pipelines that turn meeting transcripts into daily briefs, real-time project risk pings, sales insights, and even 1:1 growth trackers. The theme: make conversations computable, specialize agents narrowly, and wire every tool together so ops happen while you sleep.Timestamps1:11 — Background: 13+ yrs with Aydin; author of Remote Engineering Management.2:13 — What is an “agent”? Alexandra's practical definition (automation + LLM).3:39 — Why specialized agents beat general ones (Sept 2025 reality check).5:25 — Cursor background agents via Slack VIP notifications—coding while she's away.8:00 — Hackathon: hand-built dev productivity dashboard vs. Claude + Linear MCP.10:38 — Why use Claude here instead of Cursor: downloadable PDFs & exploratory insights.13:03 — Interface shift: logging into Linear/GitHub less; notify via Slack instead.14:21 — Plan: live workflows that leaders can copy.15:31 — Workflow #1: Daily Brief in Zapier (9:00 a.m. trigger → transcripts → CoS-style digest).18:00 — Slack example of the generated daily brief.20:22 — Workflow #2: Project Meeting Insights—real-time blockers & cross-team risks.22:00 — Prompting style (“best VP of Eng in the world”) and why it helps.26:40 — Idea: an “Alexandra agent” that drafts her responses.27:59 — Workflow #3: Sales call mining → bug/feature requests for Eng.29:14 — Next step: Cursor agents created via API—fixes ready for human review minutes after calls.30:23 — Rolling Cursor to product & success; non-engineers leverage code context.31:16 — Auto-drafting help center docs with Cursor that can browse.32:34 — Future: docs auto-update—or vanish into on-demand LLM answers.34:52 — Workflow #4 (WIP): 1:1 growth tracker—extract coaching, strengths, feedback into a living doc.37:41 — Sales coaching automation: enforce key phrases/objection handling.38:10 — Playbook: start with simple “yesterday's conversations → insights,” then stack.39:24 — Next 12 months: tools connecting to each other, patterns across datasets.Tools & Technologies Mentioned (with quick notes)Cursor — AI-powered code editor with background agents (cloud-run) and Slack integration for async coding and fixes.Cursor Background Agents API — Programmatically spin up agents to implement bug fixes/features for later human review.Slack (VIP Notifications) — Marking the Cursor app as VIP ensures agent updates punch through Do Not Disturb.Claude — LLM used with MCPs to query data sources (e.g., Linear), generate PDFs, surface trends, and build ad-hoc reports.MCP (Model Context Protocol) — Standard to connect LLMs to tools/data (e.g., Linear) for live, permissioned operations.Linear — Issue/project tracker; source for ticket analytics (resolution rates, triage time, stage durations).Zapier — No-code automations; schedules, filters, formats, makes API calls, and runs AI by Zapier LLM steps.Fellow.ai — AI meeting assistant capturing summaries, actions, decisions; acts as an “AI chief of staff” across meetings.GitHub — Code hosting referenced as a UI Alexandra now visits less thanks to agentic workflows.Google Docs / Notion / Wiki — Destinations for auto-appending 1:1 growth notes and team principles.APIs (custom + vendor) — Zapier “Webhooks by Zapier”/custom API calls used to fetch transcripts and trigger agents.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

This week on Riding Unicorns, we're joined by Manny Medina, the visionary founder behind Outreach — the $4B sales engagement unicorn — and now co-founder & CEO of Paid.ai, a startup pioneering how AI agents get priced, paid, and scaled.We dive into Manny's remarkable journey from zero to $250M+ ARR with Outreach, the gritty early days of selling door-to-door with no cash, and how he turned that experience into a masterclass in category creation. Now, with Paid.ai, Manny is laser-focused on building the financial stack that will power the next wave of autonomous agents — and helping AI-native businesses build real, durable revenue.

I chat with Craig Hewitt , founder of Castos. We talk about his journey from running a podcast editing agency to building a SaaS hosting platform. We cover the challenges of bootstrapping, raising funds, and going international. Craig shares how he uses distribution channels, how AI affects small teams, and what it's like to scale in a niche market. We end with advice for indie founders on picking business models, taking risks, and keeping up with tech changes.My twitter: https://x.com/wbetiagoAbout Craig HewittTwitter: https://x.com/TheCraigHewittPodcast: https://roguestartups.com/Timestamps by PodsqueezeGreg's Background and Starting Podcast Motor (00:01:02)Getting First Clients and Sales Approach (00:06:29)US vs. Europe: Customer Acquisition Differences (00:08:25)Localization and Multi-Currency Pricing (00:13:18)Transition from Agency to SaaS: Castus (00:16:30)Distribution Channels and Product Positioning (00:19:06)Impact of AI on Team and Product Development (00:25:28)Bootstrapping vs. Raising Money: Tiny Seed Experience (00:30:25)Agency vs. SaaS: Which to Start First? (00:31:33)Tiny Seed Accelerator: Value and Learnings (00:35:55)Distribution, Churn, and Growth Challenges (00:38:56)Balancing Family, Agency, SaaS, and Accelerator (00:41:05)Using Investment to Scale and the Realities of Raising Money (00:44:05)Investor Returns and Exit Expectations (00:51:19)Podcasting Market Realities and Churn (00:54:10)Pricing, Retention, and Content Marketing Plateau (00:57:23)What to Do When Growth Plateaus (01:00:59)AI's Impact on SaaS and the Economy (01:10:21)US vs. Europe: Entrepreneurial Mindset Differences (01:14:53)Conclusion and Where to Find Greg (01:17:58)Links and MentionsTools and Websites"Castos": "00:01:02""Podcast Motor": "00:01:02""Audacity": "00:05:40""Ecom from Skype": "00:05:40""Blueberry": "00:05:50""Buzzsprout": "00:05:50""Seriously Simple Podcasting": "00:17:36""HubSpot": "00:19:14""Cursor": "00:15:11""Zencastr": "00:22:33""Zoom": "00:22:33""Figma": "00:24:26""Cursor": "00:27:41""TinySeed": "00:30:25""11 Labs": "00:26:30""Claude": "00:26:30""Marnus": "00:26:30""TinySeed": "00:48:33""WordPress": "00:51:19""Podsqueeze": "00:54:10""Apple Podcast Connect": "00:55:13""Rogue Startups": "01:17:58"Books"Steal Like an Artist": "00:19:31"Videos and Podcasts"Nathan Barry's Podcast": "01:08:40"

Test in tempo reale con le prime informazioni utili.Visto cosi', cambia tutto il modo di usare il web, diventando lo strumento principe per esplorare, approfondire, ricordare e ritrovare.La cronologia diventa una opportunità. L'ascolto e l'interrogazione tramite voce una esperienza appagante e stupenda, mai sentito nulla del genere.Chiuso l'episodio ho continuato a esplorare gli spazi: ci sono contesti già pronti per pianificare viaggi, uscire a divertirsi, investire, e tantissime possibilità per risolvere i problemi piu' comuni. Ovviamente anche consigli di ecommerce.Cursor sostituisce tutti. Fa tutto proprio. E attacca direttamente Google search.Game over, per tutti gli altri.Ah, si': all'installazione chiede subito di identificarsi, con Google o email o altri strumenti.

(Fast) Keine Folge ohne Apple, Google und natürlich den Dauerbrenner OpenAI vs. Microsoft. Aber diese Woche gibt es auch tiefere Einblicke in die ARR-Zahlen von Vibe-Coding-Startups und in welchem Verhältnis diese zu den Unternehmensbewertungen stehen. Die AI Talk Hosts Jakob Steinschaden (Trending Topics, newsrooms) und Clemens Wasner (enliteAI, AI Austria) sprechen außerdem über:Apple Event Review: iPhone 17 Design, neue Hardware-Architektur und fehlende Live Translation in der EU wegen Digital Markets ActGoogle AI-Overview Klage: Penske Media verklagt Google wegen KI-Zusammenfassungen: 20% weniger Traffic, 30% weniger Affiliate-EinnahmenVibe Coding Startup Bubble: Revenue-Multiples von 14x bis 140x bei Lovable, Cursor, Cognition & Co. - sind die Bewertungen gerechtfertigt?OpenAI & Microsoft Deal - Neuverhandlung der Partnerschaft: 30% Microsoft-Anteile, weniger Umsatzbeteiligung, 80 Mrd. zusätzlicher KapitalbedarfTool der Woche: Floot - Supersimples Web-Coding-Tool für Nicht-Programmierer aus dem aktuellen Y-Combinator BatchStartup der Woche: Encentive - 6,3 Mio. Euro für KI-Software zur Energiekostenoptimierung in der Industrie (bis zu 20% Einsparung)

Web Searches For Archives Didier observed additional file types being searched for as attackers continue to focus on archive files as they spider web pages https://isc.sans.edu/diary/Web%20Searches%20For%20Archives/32282 FBI Flash Alert: Salesforce Attacks The FBI is alerting users of Salesforce of two different threat actors targeting Salesforce. There are no new vulnerabilities disclosed, but the initial access usually takes advantage of social engineering or leaked data from the Salesdrift compromise. https://www.ic3.gov/CSA/2025/250912.pdf VSCode Cursor Extensions Malware Koe Security unmasked details about a recent malicious cursor extension campaign they call White Cobra. https://www.koi.security/blog/whitecobra-vscode-cursor-extensions-malware BSides Augusta https://bsidesaugusta.org/

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Sweetman, the developer behind on-chain music and co-founder of Recoup. We talk about how musicians in 2025 are coining their content on Base and Zora, earning through Farcaster collectibles, Sound drops, and live shows, while AI agents are reshaping management, discovery, and creative workflows across music and art. The conversation also stretches into Spotify's AI push, the “dead internet theory,” synthetic hierarchies, and how creators can avoid future shock by experimenting with new tools. You can follow Sweetman on Twitter, Farcaster, Instagram, and try Recoup at chat.recoupable.com.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop introduces Sweetman to talk about on-chain music in 2025.05:00 Coins, Base, Zora, Farcaster, collectibles, Sound, and live shows emerge as key revenue streams for musicians.10:00 Streaming shifts into marketing while AI music quietly fills shops and feeds, sparking talk of the dead internet theory.15:00 Sweetman ties IoT growth and shrinking human birthrates to synthetic consumption, urging builders to plug into AI agents.20:00 Conversation turns to synthetic hierarchies, biological analogies, and defining what an AI agent truly is.25:00 Sweetman demos Recoup: model switching with Vercel AI SDK, Spotify API integration, and building artist knowledge bases.30:00 Tool chains, knowledge storage on Base and Arweave, and expanding into YouTube and TikTok management for labels.35:00 AI elements streamline UI, Sam Altman's philosophy on building with evolving models sparks a strategy discussion.40:00 Stewart reflects on the return of Renaissance humans, orchestration of machine intelligence, and prediction markets.45:00 Sweetman weighs orchestration trade-offs, cost of Claude vs GPT-5, and boutique services over winner-take-all markets.50:00 Parasocial relationships with models, GPT psychosis, and the emotional shock of AI's rapid changes.55:00 Future shock explored through Sweetman's reaction to Cursor, ending with resilience and leaning into experimentation.Key InsightsOn-chain music monetization is diversifying. Sweetman describes how musicians in 2025 use coins, collectibles, and platforms like Base, Zora, Farcaster, and Sound to directly earn from their audiences. Streaming has become more about visibility and marketing, while real revenue comes from tokenized content, auctions, and live shows.AI agents are replacing traditional managers. By consuming data from APIs like Spotify, Instagram, and TikTok, agents can segment audiences, recommend collaborations, and plan tours. What once cost thousands in management fees is now automated, providing musicians with powerful tools at a fraction of the price.Platforms are moving to replace artists. Spotify and other major players are experimenting with AI-generated music, effectively cutting human musicians further out of the revenue loop. This shift reinforces the importance of artists leaning into blockchain monetization and building direct relationships with fans.The “dead internet theory” reframes the future. Sweetman connects IoT expansion and declining birth rates to a world where AI, not humans, will make most online purchases and content. The lesson: build products that are easy for AI agents to buy, consume, and amplify, since they may soon outnumber human users.Synthetic hierarchies mirror biological ones. Stewart introduces the idea that just as cells operate autonomously within the body, billions of AI agents will increasingly act as intermediaries in human creativity and commerce. This frames AI as part of a broader continuity of hierarchical systems in nature and society.Recoup showcases orchestration in practice. Sweetman explains how Recoup integrates Vercel AI SDK, Spotify APIs, and multi-model tool chains to build knowledge bases for artists. By storing profiles on Base and Arweave, Recoup not only manages social media but also automates content optimization, giving musicians leverage once reserved for labels.Future shock is both risk and opportunity. Sweetman shares his initial rejection of AI coding tools as a threat to his identity, only to later embrace them as collaborators. The conversation closes with a call for resilience: experiment with new systems, adapt quickly, and avoid becoming a Luddite in an accelerating digital age.

Genai IusOnDemand srlIntroduzione:In questo episodio di Caffè 2.0, Valentino Spataro si concentra sull'importanza dell'approfondimento per coloro che lavorano nel mondo dello sviluppo software. Dopo una breve introduzione, Spataroesplora i problemi concreti legati all'uso di strumenti di sviluppo come Cursor, Winsurf, Kilocode e Kiro, e l'impatto dell'intelligenza artificiale sul processo di sviluppo del codice. Inoltre, evidenzia l'importanza di comprendere i limiti dei software generati in fretta e la necessità di una progettazione attenta e consapevole.Indice:I. IntroduzioneII. Strumenti di sviluppo e problemi concretiIII. Intelligenza artificiale e sviluppo del codiceIV. Limiti dei software generati in frettaV. Progettazione attenta e consapevoleVI. ConclusioneChecklist:1. Ascoltare l'episodio riservato ai membri del podcast per approfondire i problemi concreti2. Comprendere i limiti dei software generati in fretta3. Delegare la progettazione del software a una macchina solo in un'ottica di sviluppo di modelli da testare subito4. Considerare l'elasticità e le mancanze del software generato dall'intelligenza artificiale5. Valutare l'importanza di mantenere le risorse di programmazione per evitare problemi e danniElenco di frasi celebri:1. "Delegare la struttura e la progettazione del software a una macchina è un qualcosa che si può fare in un'ottica di sviluppo di modelli da testare subito"2. "Se quel programmatore serviva solo a scrivere il codice e diventa sostituibile, tutti gli altri no"3. "L'idraulico che cambia il tubo lo può fare chiunque. Magari capire se è quel tubo e se varrà sostituito in un modo o in un altro, eh, questa è tutta un'altra cosa"

In this episode, we're unpacking the strategic angles of workforce strategy as seen in Cursor Acquires Koala: Saving Employees. We explore how this acquisition is balancing growth with empathy amid a shifting tech landscape. Join us for a look into the story, the strategy, and the statement this deal makes.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

¿Cuándo empiezas a confesar al consumidor que te ayuda una IA? ¿Se cumple con el deber de información si un “AI Agent” acepta una política de protección de datos? ¿Podemos delegar a estos el consentimiento como base legal o elemento del contrato?Jorge Morell Ramos lleva 16 años prestando servicios legales en el ámbito del derecho tecnológico, desde el despacho Términos y Condiciones. Ha sido elegido como Best Lawyer en 2024 y 2025 en la categoría de IT Law (el único en Baleares en esta categoría). Fue además ganador del premio al mejor blog jurídico en España en 2014, mejor web legal en 2018 y la divulgación de la seguridad informática en 2020. Su proyecto sobre la monitorización de términos y condiciones y políticas de privacidad ha sido destacado por el Legal Design Lab de la Universidad de Stanford.También es fundador de Legaltechies, co-organizador del primer congreso sobre LegalTech y creador de Jade, que fue uno de los primeros proyectos de LegalTech de código abierto. También es fundador de The Legal Letters, una newsletter sobre la IA y su desarrollo normativo.Referencias:* Jorge Morell en LinkedIn* Términos y Condiciones (despacho)* El chatbot de AI asilvestrado: los usuarios de Cursor engañados por una política inventada (eWeek) [inglés]* La influencer virtual Aitana López responde a la polémica apuesta de H&M por los modelos con IA (MarketingDirecto)* UETA: Agentes de IA y contratos electrónicos: la ley ya dice “sí” (Andrew Grant) [inglés]* Internet, Claves legales para la empresa (2002, AA.VV) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

In this episode, we're revealing the timely angles of company rescues as seen in Cursor Acquires Koala: Saving Employees. We explore how this acquisition is creating win-win acquisition strategies amid a shifting tech landscape. Join us for a look into the story, the strategy, and the statement this deal makes.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

The npm incident: nothing to fret about? Cursor Autorun flaw lets repositories execute code without consent Senator Wyden urges FTC to probe Microsoft over Ascension hack Huge thanks to our sponsor, Vanta Do you know the status of your compliance controls right now? Like...right now? We know that real-time visibility is critical for security, but when it comes to our GRC programs…we rely on point-in-time checks. But more than 9,000 companies have continuous visibility into their controls with Vanta. Vanta brings automation to evidence collection across over 35 frameworks, like SOC 2 and ISO 27001. They also centralize key workflows like policies, access reviews, and reporting, and helps you get security questionnaires done 5 times faster with AI. Now that's…a new way to GRC. Get started at Vanta.com/headlines.  

In this episode of the Liquid Weekly Podcast Karl and Taylor delve into the evolving landscape of AI tools, particularly focusing on Cursor and Claude Code, and their implications for development workflows. They discuss the recent updates to the Shopify theme store, the transition to a new online editor based on VS Code, and the importance of community engagement through in-person events. The conversation also highlights new features in Shopify's change log, including updates to the order editing API and font library, and concludes with personal recommendations for tools and events.*Takeaways*Compliments can significantly boost someone's day.There are numerous business opportunities in the Shopify ecosystem.AI can assist in development and troubleshooting.Understanding data is key to leveraging business opportunities. Cursor and Claude Code offer different functionalities for AI-assisted development.Planning modes in AI tools can enhance workflow efficiency.AI tools can save time but may also complicate processes if not used judiciously.Shopify's theme store has significantly expanded its offerings with new presets.The transition to a VS Code-based online editor in Shopify is a notable improvement.Community events are gaining traction, fostering collaboration among developers.Shopify's change log reveals important updates that can impact development practices.Using AI for workout planning can streamline fitness routines.Personal recommendations can enhance productivity and engagement in various tasks.Understanding the implications of new tools and updates is crucial for developers. *Sound bites*"I think you could be right.""It's a little bit more complex""It's hard for me to get on board"*Timestamps*02:49 Parenting and Homeschooling Dynamics05:34 Summer Activities and Food Preferences08:22 Health Challenges and Family Updates11:11 Personal Experiences with Online Shopping13:52 Transitioning to Shopify Discussions21:44 Exploring Product Feeds and Data Management28:18 The Role of AI in Development40:28 Navigating AI Challenges and Solutions41:36 Shopify Theme Store Updates and Implications46:37 Theme Review Process and Complexity Reduction47:52 Transition to VS Code for Theme Editing48:37 Merchants and Theme Complexity50:31 Browser Extensions and Cybersecurity Awareness52:49 Community Events and In-Person Gatherings54:52 ShopQuest and International Events56:57 Changelog Updates and API Enhancements01:01:43 Picks of the Week and Personal Insights*Dev Changelog*Order Editing API Supports Discounts on Fulfilled Line Items - https://shopify.dev/changelog/order-editing-api-supports-discounts-on-fulfilled-line-itemsFont Library Updates - https://shopify.dev/changelog/font-library-updates-automatic-replacement-for-deprecated-fontsExtensions API - https://shopify.dev/changelog/app-bridge-extension-apiBulk Update Variant Strategy - https://shopify.dev/changelog/new-preservestandalonevariant-strategy-for-productvariantsbulkcreate-mutation*Picks of the Week*Karl - Parade of the Hills Festival in Nelsonville Ohio - https://www.paradeofthehills.org/Taylor - Using Grok AI for Workouts - https://x.ai/*Sign Up for Liquid Weekly*Don't miss out on expert insights and tips—subscribe to Liquid Weekly for more content like this: https://liquidweekly.com/

If you're not building AI employees right now, you're already falling behind. In this episode, I break down how I built six AI employees in less than an hour—and why this is going to change the way we work. I'll show you how these agents can handle content repurposing, SEO, and even parts of your workflow so you can stay focused on the highest-leverage tasks. Using tools like Cursor and Claude Code, I'll walk you through how to actually set this up and where the real opportunities lie. Timecodes⏰ (00:00) Introduction to AI Employees (02:15) The Future of Work with AI (05:30) Setting Up Your AI Command Center (08:45) Creating Sub-Agents with Claude Code (12:00) Leveraging AI for Content Repurposing (15:20) AI in Marketing and Recruitment (18:45) Real-World Success Stories (22:00) Conclusion and Next Steps How to Connect: IG: / ericosiu X: / ericosiu

#315: In this episode, the discussion centers around the critical importance of design over mere code writing in software development. The hosts reflect on their experience with coding tools like Cursor and Claude Code, noting their pros, cons, and the efficiency brought by AI in handling coding chores. They highlight the paradigm shift in developer tasks from writing code to managing and designing projects, comparing it to the role of an author in world-building. The conversation also touches on the potential future of startups leveraging AI to minimize costs, the iterative nature of design, and practical tips for integrating AI into development workflows effectively.   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

Разбираем Thoughtworks Technology Radar Vol.32: где Adopt/Trial/Hold и что реально полезно DevOps-командам в 2025. AI-ассистенты (Cursor, QCLI, Claude), Observability (OpenTelemetry, Alloy/Loki), безопасность (SBOM) и практичные инструменты. О ЧЁМ ВЫПУСК • Как читать Tech Radar и зачем он инженерам/архитекторам. • AI-ассистенты для кодинга: опыт Copilot, Cursor, QCLI (Claude Sonnet), цены и риски. • Observability сейчас: OpenTelemetry, Grafana Alloy, Loki v3, зачем это бизнесу. • Безопасность: почему SBOM в Adopt и как это помогает на проектах. • Архитектурные решения без бюрократии: ADR, ответственность команд. • Инструменты из «Тулов»: UV (Python), Renovate, Vite, D2/JSON Crack, и где они заходят. ССЫЛКИ

Want to build your own apps with AI? Get the prompts here: https://clickhubspot.com/gfb Episode 75: What if you could turn your app idea into a fully functional web application—without writing a single line of code—in under 60 seconds? Nathan Lands (https://x.com/NathanLands) welcomes Eric Simons (https://x.com/ericsimons), co-founder of Bolt, one of the hottest AI startups revolutionizing how apps are built. In this episode, Eric reveals how Bolt makes it possible for anyone, regardless of technical skill, to go from idea to live, production-ready web or mobile apps—complete with authentication, databases, and hosting. He shares Bolt's unique approach that enables rapid prototyping, real business-grade deployments, and makes high-fidelity MVPs accessible to entrepreneurs, product managers, and non-coders everywhere. The conversation covers Bolt's founding story, its growth, and details from their record-breaking hackathon that empowered 130,000+ makers. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) High Fidelity Prototyping Essentials (04:32) Revolutionary Prototyping and Collaboration Tool (06:33) Rapid Prototyping Tool Focus (11:35) Empowering Non-Tech Entrepreneurs (13:34) Fast MVP Development with Bolt (18:19) AI-Powered Personalized Weight Coach (22:10) Launching Stackblitz: Web IDE Vision (22:48) Browser-Based Dev Environments Revolution (28:05) Advancements in Coding and AI (29:28) Critical Thinking in AI Development (34:08) Teaching Kids Future Skills (37:05) Bay Area's Autonomous Transport Future — Mentions: Eric Simons: ​​https://www.linkedin.com/in/eric-simons-a464a664/ Bolt: https://bolt.new/ Figma: https://www.figma.com/ Netlify: https://www.netlify.com/ Supabase: https://supabase.com/ Cursor: https://cursor.com/ Lovable: https://lovable.dev/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.Topics Include:Panel introduces three ISV leaders discussing data platform transformation for AIDTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observabilityCompanies with proprietary datasets gain strongest competitive advantage in AI transformationData gravity concept: LLMs learning from unique datasets create defensible business positionsCoveo maintains unified enterprise index with real-time content and access rights syncHoneycomb enables subsecond queries for analyzing logs, traces, and metrics at scaleMulti-tenant architectures balance shared infrastructure benefits with single-tenant data separationCoveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant componentsDTEX scaled from thousands to hundreds of thousands endpoints after architectural transformationCapital One partnership taught DTEX how to break monolithic architecture into servicesApache Iceberg and open table formats enable interoperability without data duplicationHoneycomb built custom format following similar patterns with hot/cold storage tiersBusiness data catalogs become critical for AI agents understanding dataset contextMCP servers allow AI systems to leverage structured cybersecurity datasets effectivelyDTEX used Cursor with their data to identify North Korean threat actorsReal-time AI data needs balanced with costs using right models for jobsCaching strategies and precise context reduce expensive LLM inference calls unnecessarilySearch remains essential for enterprise AI to prevent hallucination and access informationROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomesKey takeaway: invest in data structure early, context is king, AI is just softwareParticipants:Sebastien Paquet - Vice President of AI Strategy, CoveoRajan Koo - CTO, DTEX SystemsPatrick King - Head of Data, Honeycomb.ioKP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web ServicesFurther Links:Coveo: Website – LinkedIn – AWS MarketplaceDTEX Systems: Website – LinkedIn – AWS MarketplaceHoneycomb.io: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Listen now: Spotify, Apple and YouTubeIf you've wondered how much AI is really helping engineers - or feared it might replace them - this episode is for you.In this conversation, Marc and Ben sit down with Nick Meehan, a senior engineer and longtime collaborator, to explore how AI coding tools like Cursor, Claude, and Codex are reshaping day-to-day engineering work. Nick shares how his process evolved from copy-pasting into ChatGPT to using AI as a debugging partner, thought collaborator, and junior developer moving at superhuman speed.They cover the productivity gains, the pitfalls of vibe coding entire products, the new skills engineers need (critical thinking, architecture, team coordination), and what might never be replaced by AI. Nick also reflects on job security, how satisfaction in engineering is shifting, and where he sees the field heading over the next five years.Whether you're an engineer experimenting with coding agents, a product leader trying to understand their impact, or simply curious about how AI is changing the craft of engineering, you'll walk away with an insider's perspective on what's actually happening on the ground.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP server, Omni's AI assistant, and Snowflake. They cover where agents shine (staging, unit tests, lineage-aware checks), where they're risky (BI chat for non-experts), and how observability is shifting from dashboards to root-cause explanations. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

SaaStr 818: Anthropic, Cursor, Fal & Bessemer: The Realities of Scaling AI Join Talia Goldberg (Bessemer Venture Partners), Kelly Loftus (Anthropic), Jacob Jackson (Cursor), and Gorkem Yurtseven (FaL - Feautres and Labels) as they discuss the evolving landscape of AI, business models, metrics, and the future of generative media.  00:00 - Introduction & Panelist Bios 01:19 - How AI Companies Are Changing Metrics 02:20 - The New Economics: Margins, Growth, and Pricing 04:41 - Usage-Based Models & The Cost to Serve 06:31 - The Impact of Expensive Models on Margins 08:00 - Go-To-Market Team Structures at Anthropic 09:36 - Scaling Sales Teams & The Quota Debate 12:01 - Hiring and Team Building Tactics 14:47 - How AI Is Used Internally at These Companies 17:47 - Key Decisions & Pivots in Company Journeys 20:07 - Collaboration vs. Competition: Cursor & Anthropic 22:23 - Measuring Productivity Gains from AI 24:26 - The Metrics That Matter Most 27:16 - Final Thoughts & Audience Q&A   --------------------- Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr. --------------------- If you're serious about B2B and AI, you need to be in London this December 2nd and 3rd.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

Lee Robinson helped Vercel grow to $200M+ in ARR and scaled the Next.js community to over 1.3 million active developers. I dive into his blog posts to uncover valuable insights and lessons about how he achieved this success, covering topics like docs, community building, developer education, marketing, and product development.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:   •  Lee Robinson's blog   •  Lee Robinson's X   •  Peter Yang's interview   •  swyx's interview   •  Gonto on Scaling DevTools   •  Developer Marketing CommunityP.s. this is a new style of episode, let me know what you think. 

Miles Grimshaw is a Partner at Thrive Capital, an investment firm that builds and invests in internet, software, and technology-enabled companies. Thrive recently closed on $5BN in new funds and also announced Thrive Holdings, a permanent capital vehicle to invest in, acquire, and operate businesses for the long term with the strategic application of technology.During his time at Thrive, Miles has led investments in companies like Airtable, Monzo, Benchling, Lattice, and more recently Cursor, a code editor built for programming with AI, which you'll hear us chat about. That team raised a $900 million round at a $9.9B valuation in June.Prior to Thrive, Miles was a General Partner at Benchmark, where he led seed investments, most notably in LangChain.We spoke about trillion dollar companies, silicon valley as an idea, business genetics, practicing scales, and Swedish House Mafia.0:00 - Intro2:14 – “The Era of Doing”6:15 – Startup Capital Intensity in the Age of AI9:14 – The Rise of Trillion Dollar Outcomes15:11 – Silicon Valley as an Idea21:04 – Physics vs Biology-Style Investing25:41 – Business Genetics and Compounding33:04 – Dying of Indigestion and Going Multi-Product35:55 – Co-Pilots, Command Centers, and Defensibility40:07 – Investing Stage Agnostically44:29 – When is VC a Good Capital Instrument?49:18 – Thrive's Core Beliefs53:57 – A Bet vs a Commitment57:49 – The Few Ideas Miles Takes Seriously59:47 – Doing a Few Big Things vs a Million Little Things1:03:54 – Practicing Scales1:06:22 – What Should More People Be Thinking About?

Send us a textIn this episode of UX Leadership by Design, host Mark Baldino is joined by three members of Pendo's design team—Senior Product Design Manager Holly Reynolds, Senior Product Designer John Incampo, and Product Design Intern Ryan Markley—to explore how AI is reshaping real-world design work from the ground up.They discuss how leadership at Pendo has created a culture of experimentation and empowerment, how AI tools like Bolt, Cursor, and Claude are integrated across the product and design process, and what it takes to balance speed with quality. Whether you're a new designer, an experienced leader, or somewhere in between, this episode is full of honest takes, practical tips, and forward-thinking insights into what AI actually looks like in a modern design team.Key Takeaways:1. Culture of Empowerment: Pendo's leadership doesn't just allow AI exploration—they encourage it, creating space for experimentation, risk-taking (without risking users), and team-driven innovation.2. Hands-On AI Tools & Integration: From interns to senior designers, team members are actively using tools like Cursor, Claude, Bolt, and Figma's AI features to accelerate research, prototyping, documentation, and collaboration.3. Collaborative Learning Environment: Weekly product + AI sessions and open Slack channels create a culture of shared discovery where everyone contributes wins, tools, and ideas.4. Practical Guardrails: While AI is everywhere, the team reinforces foundational UX process—reminding each other not to skip steps, misread data, or forget critical thinking in the rush to ship.5. Real Wins in the Workflow: AI is unlocking richer prototyping, better animation handoff, faster research synthesis, and scalable documentation through tools like custom GPTs.6. Design Ops Meets AI: The team is rethinking design systems and documentation with AI—exploring ways to automate OOUX structures, update components, and turn dead docs into dynamic tools.7. Advice for AI Newcomers: Whether you're overwhelmed, underexposed, or unsure where to start, the team shares practical tips for getting started, experimenting safely, and staying ahead of the curve.Chapters00:00 – Welcome + Meet the Pendo Design Trio01:00 – Career Paths and AI Exposure05:30 – How Pendo's Leadership Encourages AI Exploration08:00 – Internal AI Forums, Slack Channels, and Culture of Sharing10:50 – Guardrails, Trust, and Responsible Use13:00 – Balancing Speed with UX Process15:30 – Cost, Tool Chaos, and What's Next17:20 – When AI Skips the Process (and How to Handle It)20:00 – AI in Design Education: A Student's POV25:10 – Real Wins: Richer Prototypes and Faster Handoffs27:50 – Using AI for Hiring, Microcopy, and Design Systems33:00 – Turning Design System Docs into Chatbots36:00 – Advice for Hesitant Designers and AI Newbies42:30 – Wrap-up + Final ThoughtsLinks:Connect with Holly on LinkedInConnect with Ryan on LinkedInConnect with John on LinkedIn Connect with Mark on LinkedIn Fuzzy Math - B2B & Enterprise UX Design Consultancy

Benedicte takes a trip down memory lane. The Userlist team wraps up the redesign project.While writing the newsletter edition focusing on Omway, Benedicte stumbled across old photos from when she worked on a demo called Oslo Stories. On the work front, Outseta's MCP server is now an npm package that can be used with Cursor, Claude, and more.The Userlist team has been in full crunch mode these past few days to get everything polished for the September 9th launch. Benedikt also figured out the solution to a database performance issue.Mentioned on the show:Oslohistorier (Oslo Stories)Outseta Admin MCP Server

AI isn't a fad — it's reshaping how marketers work. In this episode of the Lead Gen HQ Podcast, Alex Oliveira breaks down real-world tools and trends for AI-first marketing. We explore a16z's latest GenAI app rankings — from ChatGPT and Gemini to DeepSeek and vibe-coding tools like Lovable, Cursor, and Replit — and what they mean for global AI adoption. Then we'll cover how you can integrate AI tools like ChatGPT, Claude, Zapier, Descript, Salesforce AI, and more into your workflows to automate lead generation, content creation, and campaign optimization.

Find bonus content and more on our Substack: https://designbetterpodcast.com/p/henry-modisett AI isn't just another layer in our digital toolkit—it's reshaping the tools themselves, and in the process, transforming how we work, think, and solve problems. Henry Modisett, VP of Design at Perplexity, is in a unique position to challenge many of the norms that have shaped tech for some time now. Perplexity just released a beautiful new browser called Comet that puts AI at the heart of the user experience. We have been thoroughly impressed with it all ready. As a designer with a computer science background, Henry takes a unique approach to his work. Rather than designing in Figma like most of us mortals, he and his team design in React, building working versions of interfaces so they can use it while they shape it. Henry shares how his team approaches the design of AI-native products, and why traditional UX patterns often fall short in this new landscape. We explore the role of curiosity in AI interaction, how transparency and trust are earned (not assumed), and why embracing ambiguity might just be the most human-centered design move of all. By the way, you may have heard that we just launched the Design Better Toolkit, a collection of resources we love and use regularly. The Toolkit gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Perplexity just happens to be a part of this bundle. You'll get 6 months free of Perplexity Pro (an $180 value), as well as credits and discounts on tools like Airtable, Read AI, and other tools, and courses like Prototyping with Cursor and more. To get access you'll need to be a Design Better Premium member at the annual subscription level. Visit dbtr.co/toolkit to learn more.

The Information's Sylvia Varnham O'Regan talks with TITV Host Akash Pasricha about the SEC's use of AI. We also talk with Mercor CEO Brendan Foody about how AI could overhaul recruiting and Chalk CEO Marc Freed-Finnegan about his company's strategy to take on Databricks. Lastly, we get into AI data licensing with Reporter Natasha Mascarenhas.Articles discussed on this episode: https://www.theinformation.com/articles/replits-margins-illustrate-high-costs-coding-agents TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Join me as I chat with Lee Robinson, VP of Developer Experience at Cursor, as he shares practical tips for maximizing productivity with Cursor's AI coding tools. He demonstrates how to structure prompts, create custom commands, and leverage agents for everything from bug fixes to code reviews. The conversation highlights how AI tools are making software development more accessible while enabling developers to build higher quality products with less effort. Timestamps: 00:00 - Intro 01:49 - Using AI Agents in Cursor 08:21 - Custom Rules within Cursor 11:49 - BugBot and code review automation 17:19 - CLI and headless options for Cursor agents 19:29 - Tips for getting the most out of Cursor 21:09 - Examples of innovative software built with Cursor Get Your Complete Financial OS at https://dub.sh/brex-sip Key Points: • Lee demonstrates how to effectively use Cursor's AI agents for discrete coding tasks • Setting up proper linting, formatting, and testing helps agents self-correct their outputs • Custom commands and rules can be created to enhance code reviews and writing quality • Cursor offers CLI and headless options for running agents in automation workflow 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 - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg  Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LEE ON SOCIAL X/Twitter: https://x.com/leeerob YouTube: https://www.youtube.com/@leerob Personal Website: https://leerob.com

Fredrik talks to Taylor Troesh about packaging things, generating code, and database evolution. Why is it so hard to package and build things? Is it a failure of ergonomics? Is there hope for a change? We also discuss generating code using LLMs, and Taylor presents the workflow of using them to generate projects from scratch, starting over if more fundamental changes are needed. After that, we dig into databases and SQL, and Taylor has many thoughts and opinions about how they can be used and might evolve. Finally, we discuss other interesting projects, keeping track of ideas, what the OPTC is, and why should you cut down a palm tree? Recorded during Øredev 2024. The episode is sponsored by Ellipsis - let us edit your podcast and make it sound just as good as Kodsnack! With more than ten years and 1200 episodes of experience, Ellipsis gets your podcast edited, chapterized, and described with all related links in a prompt and professional manner. Thank you Cloudnet for sponsoring our VPS! Comments, questions or tips? We a re @kodsnack, @tobiashieta, @oferlundand @bjoreman on Twitter, have a page on Facebook and can be emailed at info@kodsnack.se if you want to write longer. We read everything we receive. If you enjoy Kodsnack we would love a review in iTunes! You can also support the podcast by buying us a coffee (or two!) through Ko-fi. Links Taylor Taylor's keyboard-rich desk setup Taylor's Øredev 2024 talk: How to flatpack programs The IKEA hacking community (or one of them) James Mickens Redux The flux architecture Jquery Toki pona APL Zig SNOBOL Actor model Jq Lisp Scrapscript - Taylor's own language HTMX CRUD Elm Support us on Ko-fi Cursor Neovim Avante - a Cursor alternative for Neovim Sam Altman Sam Colt Sam Morse Postgresql Connecting directly to the database - Svante Richter's talk Supabase SQL Some of Taylor's writings about SQL PRQL - Pipelined relational query language FQL Regex Foundationdb Ellipsis - sponsor of the week: we edit Kodsnack, and we can edit your podcast too! Offensive horticulture A history of microwave ovens Scrapsheets Game of life Trailer buses Follow-up links, thanks to unvisual: Bruck - “a type of bus or coach built to combine goods and passenger transport” Skvader - a Swedish bruck The timeless way of software - Taylor talks about Christopher Alexander, just like we did in episode 657! Titles Nothing besides IKEA I did not besmirch the reputation How strange we package things I don't think I have any advice Failure of ergonomics I do have hope Drinking from the well Brainless CRUD-stuff (I have) No qualms with Elm During the binges Fifteen math professors Tilting against palmtrees OPTC

Big thanks to ThreatLocker for sponsoring my trip to Black Hat 2025. To start your free trial with ThreatLocker please use the following link: https://www.threatlocker.com/davidbombal AI can turn weeks of coding into seconds, but at what cost? Katie Paxton-Fear demonstrates how to use Gemini to generate a sprint plan and Cursor to build a Python port scanner from natural language. It works… and that's the problem. We unpack how “vibe coding” blinds even pros to security, why these tools aren't production-ready, and the guardrails you need for ethical hacking and internal tooling. What you'll learn • How to turn ideas → sprint plan → working code (Gemini + Cursor) • Why silent vulnerabilities make AI-built apps risky • Ethical hacker use cases (agents, scanners) without shipping insecure code • Policy tips: disclosure, internal use, avoiding shadow IT Tools mentioned: Gemini, Cursor (AI IDE), Claude (briefly), v0 // Katie Paxton-Fear SOCIALS // Website: https://insiderphd.dev/ LinkedIn: https://www.linkedin.com/in/katiepf/?... YouTube: / insiderphd X: https://x.com/InsiderPhD // YouTube video REFERENCE // • Vibe Coding in Cursor for Cyber Security // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // Menu // 0:00 - Coming Up: AI Vibe Coding Explained 01:08 - Intro with Katie Paxton-Fear (Cybersecurity Expert) 02:53 - ThreatLocker Security Overview 03:06 - What is Vibe Coding in AI Development? 04:51 - Live Demo Example of Vibe Coding 05:20 - Google Gemini and Gems for Coding 08:22 - Cursor AI and Writing Code Faster 09:59 - Coffee Break (Quick Pause) 10:02 - Risks of Vibe Coding in Cybersecurity 11:24 - Port Scanner Explained 11:34 - Vibe Coding Pros and Cons (Full Breakdown) 14:02 - Port Scan Results Analysis 14:22 - Why AI Code Isn't Production Ready Yet 15:53 - Katie's Final Advice & Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. Key topics: vibe coding, AI coding, port scanning, secure-by-design If you're experimenting with AI coding, watch this before you deploy anything. #blackhat #vibecoding #security

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

In this episode of the TestGuild podcast, Joe Colantonio sits down with Ben Fellows, founder of LoopQA and QA thought leader, to explore how AI is reshaping test automation. Ben shares lessons from his popular AI test automation workshops, diving deep into topics like: How AI turns hours of page object coding into minutes Why “augmented coding” beats “vibe coding” for serious QA work Practical ways teams can leverage Cursor, Playwright, and AI to boost productivity What QA leaders need to know about shifting roles, scaling code reviews, and IT security concerns Key trends coming in 2026 that could redefine how we write tests Whether you're curious about AI's real impact on QA, looking for ways to speed up your automation, or wondering what's next for Playwright and MCP, this conversation will give you actionable insights and inspiration.

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!

In this edition of the Web News, Matt and Mike discuss Coinbase CEO Brian Armstrong's controversial decision to fire engineers who refused to adopt AI tools like GitHub Copilot and Cursor. After purchasing enterprise licenses, Armstrong gave employees just one week to integrate the tools into their workflows, even holding a Saturday meeting to enforce compliance. Was this “heavy-handed” approach justified, or did it cross the line? We break down the story, explore the ethics of forcing AI adoption, and consider what this means for the future of engineering culture. Show Notes: https://www.htmlallthethings.com/podcast/was-the-coinbase-ceo-too-harsh-ai-firings

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

Claude Code might be the secret weapon marketers didn't know they needed. In this video, I break down how Claude Code can supercharge marketing by boosting efficiency and sharpening execution. From running smarter AB tests to leveling up SEO and creating sub agents that handle the heavy lifting, I share practical ways to apply it now and where it's headed in the future. TIMESTAMPS (00:00) Introduction to Claude Code and Its Importance (02:48) Understanding AB Testing and Its Applications (06:03) Leveraging SEO and Conversion Optimization (09:10) Creating Sub Agents for Marketing Efficiency (12:03) Practical Applications and Future Prospects of Claude Code How to Connect: IG: / ericosiu X: / ericosiu

#313: In this episode, Darin shares his recent experiences using AI tools Cursor and Claude Code to improve and refactor Jenkins plugins. After receiving a recommendation to try out Cursor for code improvements, he tests it alongside Claude Code, comparing their functionalities and effectiveness. He describes his process and observations, noting that both tools helped identify performance improvements in the code. While Cursor provided quick initial feedback, Claude Code offered a slightly better quality of suggestions but required nudging to get accurate results. Darin also mentions the practicality of integrating these tools with his existing setups and the importance of having issues documented for better management. Moreover, he discusses the benefits of AI-assisted PR descriptions and emphasizes the need for caution when using such tools for proprietary code without corporate approval. Overall, he concludes that transitioning to these advanced AI tools can significantly improve productivity in open-source projects.   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

Want Elena's AI Tech Stack that helped grow her startup? Get it here: https://clickhubspot.com/fkv Ep. 356 Did you know Lovable is the fastest-growing AI app on the planet—scaling faster than ChatGPT? Kieran dives into what it takes to succeed in today's AI-native startup world, with growth leader Elena Verna revealing how Lovable is changing the game for building and scaling tech companies. Learn more on why traditional management roles are disappearing, how end-to-end ownership and autonomy are driving insane speed at Lovable, and how the growth playbook is transforming for a generation of AI-powered products. Mentions Elena Verna https://www.linkedin.com/in/elenaverna/ Lovable https://lovable.dev/ Cursor https://cursor.com/ Miro https://miro.com/ SurveyMonkey https://www.surveymonkey.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

This is a preview of a premium episode on Design Better. Head to our Substack to get access to the full episode: https://designbetterpodcast.com/p/elizabeth-lin Have you played around with Cursor? If not, it's time. Designers with no coding skills are passing Cursor Figma files and getting working apps out the other side. And if you have no design, you can just prompt this AI powered development environment to get a solid prototype of your idea. Elizabeth Lin, founder of Design is a Party, recognizes that Cursor is going to expand the capabilities of designers. She's built a course that introduces designers to Cursor and challenges you to build while you design. We talk with Elizabeth about how she's using AI tools like Cursor to help designers prototype faster than ever before, why she thinks now might be the perfect time to try something new in your career, and what's missing from traditional design education. Elizabeth also shares what she's learned about "vibe coding," why debugging is the hardest skill for new students to master, and how she's building a business around the idea that learning should feel more like a party than work. By the way, you may have heard that we just launched the Design Better Toolkit, a collection of resources we love and use regularly. The Toolkit gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. One of Elizabeth's courses, Prototyping with Cursor, just happens to be a part of this bundle. You'll get $100 off her course, as well as a $500 credit towards Airtable, discounts on Read.ai, Perplexity, Miro, and other tools, and discounts on other courses from platforms like ShiftNudge. To get access you'll need to be a Design Better Premium member at the annual subscription level. Visit dbtr.co/toolkit to learn more. Bio Elizabeth is a design educator with 10 years of experience whose love for design began in the early internet days of Neopets, creating playful graphics and websites with tools like MS Paint. She went on to study computer science at UC Berkeley, where she discovered a community of design enthusiasts and began teaching her first course on Illustrator and Photoshop as a sophomore. That experience sparked a lasting passion for teaching, which she continued to pursue through workshops and courses during her time at Berkeley. After graduating, Elizabeth worked as a product designer at education-focused companies like Khan Academy and Primer, designing tools for teachers and students while expanding her perspective on learning. In 2023, she founded Design is a Party, an alternative design school that reflects her playful yet rigorous approach to teaching. Since then, she has launched a two-course series on visual design, developed portfolio-building resources, and led workshops to help the next generation of designers grow their craft.

(We apologize for the low audio quality, but the video contains such valuable content that we decided to keep it.) What if you could build an entire business, from idea to working software, with just ONE AI prompt? In this episode, I'm pulling back the curtain on how I personally use artificial intelligence to create full business prototypes, marketing kits, and even backend systems without writing a single line of code. Whether you're a coach, mentor, or service provider, this episode will completely shift the way you think about building a business in today's AI-powered world. I'll walk you through some of my favorite AI tools like Lovable.dev, Replit, Cursor, and Bolt.new, and show you how anyone (yes, even you) can turn a simple idea into something real, fast. We're not just talking theory here - I actually show you how to prompt AI to: Build front-end dashboards Create marketing assets Develop full landing pages Design social media content that drives attention I also dive into the biggest mistake I see entrepreneurs make: waiting for everything to be perfect before launching. That mindset is killing your momentum. This episode will challenge your excuses, stir your creativity, and show you how to take action, even if you don't feel “ready.”

Episode 393 of The VentureFizz Podcast features Daniel Demetri, Founder & CEO of Trellis. Through the advancements of technology like cloud computing and AI, you no longer need to have a huge team to support a company that is hitting major levels of revenue. And, it's not just the ones you read about like Lovable, Cursor, Wiz, etc., as there are other companies that are able to achieve impressive feats with a relatively lean team. Trellis falls under this category. Conserving cash is an obvious benefit, but as Daniel explains, another advantage is speed. It removes the layers of an organization which in return allows employees to process information and make decisions faster. Trellis is an insurtech start-up with a mission to simplify and automate shopping for home and auto insurance by powering intelligent insurance experiences using machine learning, real-time bidding, and conversational AI, backed by a team of nationally licensed insurance advisors. The company is funded by top investors, including QED, General Catalyst, Nyca, and Amex Ventures. In this episode of our podcast, we cover lots of great topics like: * Daniel's background, including being a webmaster pre-college and some stories of the inner workings of Harvard. * His progression as a Product Manager at Google (including his interviews with Marisa Mayer) and how he got involved in startups. * Co-Founding a company that disrupted the title insurance industry called Doma which eventually went public and is now private, plus how this experience prepped him to be a CEO. * What led him down the path of starting Trellis and how the company is applying modern technology to the traditional model of insurance sales. * Lots of details about Trellis in terms of the team structure, hiring plans, and what's next for the company. * His thoughts on what makes a great product manager. * And so much more!

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You'll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code. Episode sponsors Posit Talk Python Courses Links from the show Matt Makai: linkedin.com Plushcap Developer Content Analytics: plushcap.com DigitalOcean Gradient AI Platform: digitalocean.com DigitalOcean YouTube Channel: youtube.com Why Generative AI Coding Tools and Agents Do Not Work for Me: blog.miguelgrinberg.com AI Changes Everything: lucumr.pocoo.org Claude Code - 47 Pro Tips in 9 Minutes: youtube.com Cursor AI Code Editor: cursor.com JetBrains Junie: jetbrains.com Claude Code by Anthropic: anthropic.com Full Stack Python: fullstackpython.com Watch this episode on YouTube: youtube.com Episode #517 deep-dive: talkpython.fm/517 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

In this potluck episode of Syntax, Wes and Scott answer your questions about VS Code vs Cursor, navigating promotions and job titles, database fundamentals, avoiding decision paralysis, how AI is shaping frameworks, and more! Show Notes 00:00 Welcome to Syntax! 00:56 Brought to you by Sentry.io 06:24 Moving from VS Code to Cursor without losing your shortcuts 12:13 Should you bring up a senior promotion at a new job? 16:32 Relying on LLMs vs. learning database fundamentals 20:42 Overcoming decision paralysis in programming 25:00 What to do when your code gets too messy 27:39 Could Wasm replace Docker and Kubernetes? 32:14 Organizing mini-apps in Express: monorepo, micro frontends, or something else? 38:49 Will AI lock us into React and make new frameworks irrelevant? 46:57 Sick Picks + Shameless Plugs Sick Picks Wes and Scott: Niimbot Shameless Plugs Subscribe to Syntax on YouTube 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

There's millions of people who want to vibe code -- but don't know where to get started.After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve. If only there were a simpler vibe coding platform that didn't even have code. That's Google Opal. And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.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:Google Opal Vibe Coding Tool OverviewHow to Use Google Opal: Step-by-StepOpal vs. Cursor, Replit, Copilot ComparisonBuilding No-Code AI Apps with OpalGoogle Opal Natural Language Workflow CreationOpal for Task-Based AI App DevelopmentGoogle Opal Beta Features and LimitationsPrebuilt Google Opal Apps and TemplatesVisual Editor and App Sharing in OpalOpal's Integration with Gemini AI ModelsTimestamps:00:00 "Everyday AI for Business Leaders"04:34 "Opal: Easy No-Code AI Apps"07:33 "Validate Ideas Before Full Development"11:25 Interactive Canvas with Chat Integration14:36 "Podcast: Interactive Instruction Feature"19:13 Efficient Research for Timely Episodes22:16 "Real-Time Deep Research Process"24:20 "Trends in Smaller Language Models"29:05 Improving Podcast Visual Strategies30:58 Remixing Apps with Google Opal35:45 "No-Code Opal Revolutionizes MVP Development"37:11 "Opal Tool Demos for Users"Keywords:Google Opal, Opal vibe coding, vibe coding tool, no code AI, Google AI, Google Labs, natural language app builder, AI app generator, AI workflow automation, task apps, visual app builder, Google Gemini, Gemini app, AI chaining, Google AI models, Gemini 2.5, Gemini Pro, Gemini Flash, AI image generation, VO3, audio LM, Lyria 2, multimodal AI, deep research, interactive web application, app editor, Opal gallery, prebuilt AI apps, app remixing, AI output customization, AI for nontechnical users, AI chaining tools, Google Jules, Cursor, GitHub CopilotSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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Cursor has a big problem, Alireza Bashiri thinks plaintext beats todo apps, Manish built an offline AI workspace, OverType is a WYSIWYG markdown editor that's just a textarea, and sshrc lets you bring your config with you to remote machines.

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

This episode examines how pricing challenges in AI coding platforms like Cursor and Claude Code reveal a fundamental shift in the software industry. While these tools currently struggle with unsustainable economics - where users pay far less than actual compute costs - this mismatch signals AI's inevitable transition from premium software tool to essential utility infrastructure. Through analysis of emerging pricing models and the concept of "intelligence too cheap to meter," the episode explores how AI coding represents the first glimpse of a future where software operates like electricity or water - a commodity utility accessible to everyone rather than a luxury good. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. https://www.kpmg.us/AIpodcastsBlitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months 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