Podcasts about Cursor

After all the AI hype is over, one change for Linux will be sticking around; we put it to the test.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

This week's episode started with the usual existential sigh before tumbling straight into the corporate bloodbath. Amazon chopped 14,000 jobs under the noble banner of “embracing AI,” which CEO Andy Jassy insists isn't about money—despite swimming Scrooge McDuck–style in profit. GM's cutting 1,700 workers, YouTube's dangling “voluntary” buyouts, and economists can't decide if AI is killing jobs or if the economy's just trash. Microsoft's winning either way, sitting pretty on OpenAI's planned $1 trillion IPO, while Meta stock cratered because Zuckerberg's still shoveling billions into the AI bonfire instead of quietly burying the metaverse. Meanwhile, Elon managed to cram a week's worth of disasters into a single news cycle: Tesla's being probed for its idiotic “Mad Max” mode, recalling thousands more Cybertrucks because they can't figure out glue, launching Grokipedia (Wikipedia's evil twin), and turning Truth Social into a crypto casino. Somewhere between the chaos, more people tuned into a fake NVIDIA livestream than the real one, and the only vaguely uplifting story was a grieving family using an AI chatbot to hack a $195K hospital bill down to $33K.In media misery, we soothed our nuclear anxiety with A House of Dynamite, tolerated Welcome to Derry, rolled our eyes at Stranger Things 5, and confirmed Slow Horses still rules. Music listeners, please stop streaming fascism—cancel Spotify. On the tech toy front, Grammarly's having an identity crisis as “Superhuman,” Affinity caved to the subscription gods, and Apple's prepping to inject ads into Maps because the world wasn't already annoying enough. The chaos didn't stop there: a rogue Goodreads librarian rewrote Trump's book listings to protest censorship, Cursor 2.0 actually impressed us with a working currency converter, and Enshittification: Why Everything Suddenly Got Worse and What to Do About It turned out to be the perfect title for the entire digital era.Sponsors:Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordMasterClass - Get an additional 15% off any annual membership at MASTERCLASS.com/GRUMPYOLDGEEKSCleanMyMac - clnmy.com/GrumpyOldGeeks - Use code OLDGEEKS for 20% off.Show notes at https://gog.show/720FOLLOW UPWhat both sides of America's polarized divide share: Deep anxieties about the meaning of life and existence itself720° © 1986 Atari Games.IN THE NEWSAmazon cuts its workforce by 14,000 in further embrace of AIIs AI Leading to Layoffs or Does the Economy Just Suck?Amazon CEO Now Says AI Is Not Responsible for Recent LayoffsAmazon Accused of Trapping Drivers in AI PanopticonGM lays off 1,700 workers making EVs and batteries in Michigan, TennesseeTesla Recalls Thousands More Cybertrucks, Is Bad at Gluing ThingsYouTube is offering employees buyouts as part of an AI-focused reorganizationEveryone Is Laying People Off This Week. Researchers Say They're Going to Regret ItOpenAI completes restructure, solidifying Microsoft as a major shareholderOpenAI lays groundwork for juggernaut IPO at up to $1 trillion valuationMeta Stock Plummets as Investors Horrified at How Much Zuckerberg Is Spending on Misfired AIFederal investigators are looking into Tesla's Mad Max mode, which reportedly defies speed limitsGrokipedia Is the Antithesis of Everything That Makes Wikipedia Good, Useful, and HumanMore people watched a fake NVIDIA livestream than the real thingTrump's Media Company Set To Roll Out Polymarket-Like Prediction Market on Truth SocialSurprising no one, researchers confirm that AI chatbots are incredibly sycophanticGrieving family uses AI chatbot to cut hospital bill from $195,000 to $33,000 — family says Claude highlighted duplicative charges, improper coding, and other violationsMEDIA CANDYA House of DynamiteWelcome to DerryStranger Things 5 | Official Trailer | NetflixSlow HorsesDon't Stream Fascism: Cancel SpotifyAPPS & DOODADSGrammarly has rebranded to SuperhumanAffinity's image-editing apps go “freemium” in first major post-Canva updateApple is reportedly getting ready to introduce ads to its Maps appRogue Goodreads Librarian Edits Site to Expose 'Censorship in Favor of Trump Fascism'Introducing Cursor 2.0 and ComposerEnshittification: Why Everything Suddenly Got Worse and What to Do About It by Cory DoctorowThe Disenshittify ProjectCurrency ConverterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week we talk about odd concert moments, Hades 2, Halls of Torment, Power Wash Simulator 2, Ball x Pit, Dungeons and Dragons, Frankenstein, Annie Hall, Now is Tomorrow, the Necronomicon, Mafia: The Old Country, King Sorrow, We Used to Live Here, the Scholastic Werewolf Book, Catan, Civilization 5, Feral History, Star Wars, Dungeon Crawler Carl, Paramount wants Warner Brothers, the Monster Mash movie, The Hunt for Ben Solo, Amazon games, Xbox makes a ridiculous demand, The Odyssey, Something is Killing the Children, Buck Rodgers, and Barry's Steamer: How to Cope with Boredom and Loneliness: A Guide for the Isolated. So do the mash, it's time for a GeekShock!

In this podcast episode, host Michelle Frechette chats with developer Mark Westguard about the new Image Roulette plugin, which randomizes images on WordPress sites while keeping alt text and captions for accessibility. The plugin was inspired by Michelle's need to display randomized Speed Networking conversation cards.They demonstrate how it works, discuss potential eCommerce uses, and share experiences using AI tools like Claude to speed up development. The episode also highlights collaboration, creativity, and fun within the WordPress community.Top Takeaways:Image Roulette Plugin: Michelle's accessibility challenge inspired Mark to create a plugin that randomizes images while preserving alt text and captions. Within hours, he developed a fully functional prototype that later became a public WordPress plugin.Accessibility at the Core: The plugin automatically uses each image's existing media library fields (alt text, title, caption), ensuring accessibility is built-in rather than an afterthought — aligning with WordPress's broader emphasis on inclusive design.Simplicity and Versatility: Image Roulette works via both a Gutenberg block and a shortcode, making it compatible with different site builders. It's ideal not only for random prompts but also for creative and commercial applications, such as eCommerce product showcases.Mentioned In The Show:MooImage RouletteInsta WPClaudeCursorAngieWP World

From a tiny island in Seychelles to the heartland of Ohio, we unpack a wild week in AI. First up: 1X's “Neo” humanoid—$20k to buy or $500/month to rent—promising laundry, dishes, and errands soon…with a lot of teleoperation today. We debate whether tele-ops is a feature (not a bug), who it employs, and how quickly autonomy could follow. Then we zoom out to the money: Nvidia touches a $5T valuation, OpenAI reportedly eyes a $1T IPO, and the industry's circular funding loops raise both eyebrows and opportunity. We also test-drive OpenAI's Atlas browser (a Chromium fork with action-taking ambitions), and dig into Cursor's agentic coding push, new in-house model, and blistering growth—plus the eternal “moat vs. momentum” question. Along the way: a live Neo preorder, enterprise ROI reality checks, and why agents may turn devs into project managers. If you're curious where robotics, chips, and agentic software collide, this one's for you. 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/ 

Hey, it's Alex! Happy Halloween friends! I'm excited to bring you this weeks (spooky) AI updates! We started the show today with MiniMax M2, the currently top Open Source LLM, with an interview with their head of eng, Skyler Miao, continued to dive into OpenAIs completed restructuring into a non-profit and a PBC, including a deep dive into a live stream Sam Altman had, with a ton of spicy details, and finally chatted with Arjun Desai from Cartesia, following a release of Sonic 3, a sub 49ms voice model! So, 2 interviews + tons of news, let's dive in! (as always, show notes in the end)Hey, if you like this content, it would mean a lot if you subscribe as a paid subscriber.Open Source AIMiniMax M2: open-source agentic model at 8% of Claude's price, 2× speed (X, Hugging Face )We kicked off our open-source segment with a banger of an announcement and a special guest. The new king of open-source LLMs is here, and it's called MiniMax M2. We were lucky enough to have Skyler Miao, Head of Engineering at Minimax, join us live to break it all down.M2 is an agentic model built for code and complex workflows, and its performance is just staggering. It's already ranked in the top 5 globally on the Artificial Analysis benchmark, right behind giants like OpenAI and Anthropic. But here's the crazy part: it delivers nearly twice the speed of Claude 3.5 Sonnet at just 8% of the price. This is basically Sonnet-level performance, at home, in open source.Skylar explained that their team saw an “impossible triangle” in the market between performance, cost, and speed—you could only ever get two. Their goal with M2 was to build a model that could solve this, and they absolutely nailed it. It's a 200B parameter Mixture-of-Experts (MoE) model, but with only 10B active parameters per inference, making it incredibly efficient.One key insight Skylar shared was about getting the best performance. M2 supports multiple APIs, but to really unlock its reasoning power, you need to use an API that passes the model's “thinking” tokens back to it on the next turn, like the Anthropic API. Many open-source tools don't support this yet, so it's something to watch out for.Huge congrats to the MiniMax team on this Open Weights (MIT licensed) release, you can find the model on HF! MiniMax had quite a week, with 3 additional releases, MiniMax speech 2.6, an update to their video model Hailuo 2.3 and just after the show, they released a music 2.0 model as well! Congrats on the shipping folks! OpenAI drops gpt-oss-safeguard - first open-weight safety reasoning models for classification ( X, HF )OpenAI is back on the open weights bandwagon, with a finetune release of their previously open weighted gpt-oss models, with gpt-oss-safeguard. These models were trained exclusively to help companies build safeguarding policies to make sure their apps remains safe! With gpt-oss-safeguards 20B and 120B, OpenAI is achieving near parity with their internal safety models, and as Nisten said on the show, if anyone knows about censorship and safety, it's OpenAI! The highlight of this release is, unlike traditional pre-trained classifiers, these models allow for updates to policy via natural language!These models will be great for businesses that want to safeguard their products in production, and I will advocate to bring these models to W&B Inference soon! A Humanoid Robot in Your Home by 2026? 1X NEO announcement ( X, Order page, Keynote )Things got really spooky when we started talking about robotics. The company 1X, which has been on our radar for a while, officially launched pre-orders for NEO, the world's first consumer humanoid robot designed for your home. And yes, you can order one right now for $20,000, with deliveries expected in early 2026.The internet went crazy over this announcement, with folks posting receipts of getting one, other folks stoking the uncanny valley fears that Sci-fi has built into many people over the years, of the Robot uprising and talking about the privacy concerns of having a human tele-operate this Robot in your house to do chores. It can handle chores like cleaning and laundry, and for more complex tasks that it hasn't learned yet, it uses a teleoperation system where a human “1X Expert” can pilot the robot remotely to perform the task. This is how it collects the data to learn to do these tasks autonomously in your specific home environment.The whole release is very interesting, from the “soft and quiet” approach 1X is taking, making their robot a 66lbs short king, draped in a knit sweater, to the $20K price point (effectively at loss given how much just the hands cost), the teleoperated by humans addition, to make sure the Robot learns about your unique house layout. The conversation on the show was fascinating. We talked about all the potential use cases, from having it water your plants and look after your pets while you're on vacation to providing remote assistance for elderly relatives. Of course, there are real privacy concerns with having a telepresence device in your home, but 1X says these sessions are scheduled by you and have strict no-go zones.Here's my prediction: by next Halloween, we'll see videos of these NEO robots dressed up in costumes, helping out at parties. The future is officially here. Will you be getting one? If not this one, when will you think you'll get one? OpenAI's Grand Plan: From Recapitalization to ASIThis was by far the biggest update about the world of AI for me this week! Sam Altman was joined by Jakub Pachocki, chief scientist and Wojciech Zaremba, a co-founder, on a live stream to share an update about their corporate structure, plans for the future, and ASI goals (Artificial Superintelligence) First, the company now has a new structure: a non-profit OpenAI Foundation governs the for-profit OpenAI Group. The foundation starts with about 26% equity and has a mission to use AI for public good, including an initial $25 billion commitment to curing diseases and building an “AI Resilience” ecosystem.But the real bombshells were about their research timeline. Chief Scientist Jakub Pachocki stated that they believe deep learning systems are less than a decade away from superintelligence (ASI). He said that at this point, AGI isn't even the right goal anymore. To get there, they're planning to have an “AI research intern” by September 2026 and a fully autonomous AI researcher comparable to their human experts by March 2028. This is insane if you think about it. As Yam mentioned, OpenAI is already shipping at an insane speed, releasing Models and Products, Sora, Atlas, Pulse, ChatGPT app store, and this is with humans, assisted by AI. And here, they are talking about complete and fully autonomous researchers, that will be infinitely more scalable than humans, in the next 2 years. The outcomes of this are hard to imagine and are honestly mindblowing. To power all this innovation, Sam revealed they have over $1.4 trillion in obligations for compute (over 30 GW). And said even that's not enough. Their aspiration is to build a “compute factory” capable of standing up one gigawatt of new compute per week, and he hinted they may need to “rethink their robotics strategy” to build the data centers fast enough. Does this mean OpenAI humanoid robots building factories?

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he's managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block's internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it's not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—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 Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block's open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team structure(53:45) The importance of using AI tools yourself before deploying them(55:13) How Goose helped solve a personal problem with receipts(58:01) What makes Goose unique(59:57) What Dhanji wishes he knew before becoming CTO(01:01:49) Counterintuitive lessons in product development(01:04:56) Why controlled chaos can be good for engineering teams(01:08:07) Core leadership lessons(01:13:36) Failure corner(01:15:50) Lightning round and final thoughts—Referenced:• Jack Dorsey on X: https://x.com/jack• Block: https://block.xyz/• Square: https://squareup.com/• Cash App: https://cash.app/• What is Conway's Law?: https://www.microsoft.com/en-us/microsoft-365-life-hacks/organization/what-is-conways-law#• Goose: https://github.com/block/goose• Gosling: https://github.com/block/goose-mobile• Salesforce: https://www.salesforce.com/• Snowflake: https://www.snowflake.com/• Claude: https://claude.ai/• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• OpenAI: https://openai.com/• 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• Llama: https://www.llama.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• Top Gun: https://www.imdb.com/title/tt0092099/• Lenny's vibe-coded Lovable app: https://gdoc-images-grab.lovable.app/• Afterpay: https://github.com/afterpay• Bitkey: https://bitkey.world/• Proto: https://github.com/proto-at-block• Brad Axen on LinkedIn: https://www.linkedin.com/in/bradleyaxen/• Databricks: https://www.databricks.com/• Carl Sagan's quote: https://www.goodreads.com/quotes/32952-if-you-wish-to-make-an-apple-pie-from-scratch• Google Wave: https://en.wikipedia.org/wiki/Google_Wave• Google Video: https://en.wikipedia.org/wiki/Google_Video• Secret: https://en.wikipedia.org/wiki/Secret_(app)• Alien Earth on FX: https://www.fxnetworks.com/shows/alien-earth• Slow Horses on AppleTV+: https://tv.apple.com/us/show/slow-horses/umc.cmc.2szz3fdt71tl1ulnbp8utgq5o• Fargo TV series on Prime Video: https://www.amazon.com/Fargo-Season-1/dp/B09QGRGH6M• Steam Deck OLED display: https://www.steamdeck.com/en/oled• Doc Brown: https://backtothefuture.fandom.com/wiki/Emmett_Brown—Recommended books:• The Master and Margarita: https://www.amazon.com/Master-Margarita-Mikhail-Bulgakov/dp/0802130119• Tennyson Poems: https://www.amazon.com/Tennyson-Poems-Everymans-Library-Pocket/dp/1400041872/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.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

How AI and No-Code Tools Are Transforming Business: Insights from Sean Weisbrot of We Live to BuildTechnology is evolving faster than ever, and businesses that don't adapt risk falling behind. In this episode, host Josh Elledge interviews Sean Weisbrot, Founder and CEO of We Live to Build, to explore how artificial intelligence and no-code tools are revolutionizing business operations and software development. Sean, who has interviewed more than 260 founders and investors, shares powerful insights on how these tools are reshaping entrepreneurship, empowering non-technical founders, and creating scalable opportunities for growth.Building Smarter, Faster, and More Accessible BusinessesSean explains that AI is not just improving efficiency—it's transforming how companies think and operate. From automating manual processes to enabling rapid data-driven decision-making, AI is now a core component of modern business strategy. Sean also discusses the mindset shift among founders who are embracing automation and using AI as a strategic partner, not just a productivity tool.He introduces the concept of “vibe coding,” where AI is used to build and iterate software faster than ever before. Through tools like Cursor, Lovable, and Bubble, founders can now develop full-fledged applications in days, eliminating traditional barriers to innovation. These no-code and low-code platforms are democratizing access to technology, allowing visionaries without deep technical backgrounds to test ideas and build products with speed and confidence.Sean emphasizes that while AI agents and automation offer incredible potential, success depends on customization, trusted implementation, and ethical use. He warns against one-size-fits-all solutions and stresses the importance of choosing partners who understand your business goals. His message to founders is clear—stay curious, experiment boldly, and use technology to create meaningful, scalable impact.About Sean WeisbrotSean Weisbrot is the Founder and CEO of We Live to Build, a media and consulting platform focused on empowering entrepreneurs through AI, automation, and community. As a serial entrepreneur and host of the We Live to Build podcast, Sean has interviewed hundreds of founders, executives, and innovators, distilling their lessons into actionable insights for business leaders worldwide.About We Live to BuildWe Live to Build is an entrepreneurial education platform and podcast that helps founders grow, automate, and scale their businesses using modern technology. The brand offers interviews, tutorials, and consulting focused on AI, no-code development, and business systems that drive sustainable growth. Learn more at welivetobuild.com.Links Mentioned in This EpisodeSean Weisbrot on LinkedInWe Live to Build WebsiteKey Episode HighlightsAI is transforming both business operations and founder mindsets.“Vibe coding” enables faster, more accessible software development through AI.No-code and low-code tools empower non-technical founders to build MVPs quickly.Automation works best when customized and ethically implemented.Podcasting remains a powerful tool for networking and business growth.ConclusionAI and no-code platforms are opening new doors for innovation, scalability, and entrepreneurship. As Sean Weisbrot explains, success in this new era comes from pairing curiosity with strategy—using tools wisely,...

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

I know you're out there. The developer who watches their colleagues enthusiastically embrace Claude Code and Cursor, having AI write entire feature sets while you proudly type every semicolon by hand. The founder who sees AI-generated code as a ticking time bomb of bugs and security vulnerabilities. The software entrepreneur who believes that real code comes from human minds, not language models.This one's for you.This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/ai-for-the-code-writing-purist-how-to-use-ai-without-surrendering-your-keyboard/The podcast episode:  https://tbf.fm/episodes/420-ai-for-the-code-writing-purist-how-to-use-ai-without-surrendering-your-keyboardCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Hey everyone, Alex here! Welcome... to the browser war II - the AI edition! This week we chatted in depth about ChatGPT's new Atlas agentic browser, and the additional agentic powers Microsoft added to Edge with Copilot Mode (tho it didn't work for me) Also this week was a kind of crazy OCR week, with more than 4 OCR models releasing, and the crown one is DeepSeek OCR, that turned the whole industry on it's head (more later) Quite a few video updates as well, with real time lipsync from Decart, and a new update from LTX with 4k native video generation, it's been a busy AI week for sure! Additionally, I've had the pleasure to talk about AI Browsing agents with Paul from BrowserBase and real time video with Kwindla Kramer from Pipecat/Daily, so make sure to tune in for those interviews, buckle up, let's dive in! Thanks for reading ThursdAI - Recaps of the most high signal AI weekly spaces! This post is public so feel free to share it.Open Source: OCR is Not What You Think It Is (X, HF, Paper)The most important and frankly mind-bending release this week came from DeepSeek. They dropped DeepSeek-OCR, and let me tell you, this is NOT just another OCR model. The cohost were buzzing about this, and once I dug in, I understood why. This isn't just about reading text from an image; it's a revolutionary approach to context compression.We think that DeepSeek needed this as an internal tool, so we're really grateful to them for open sourcing this, as they did something crazy here. They are essentially turning text into a visual representation, compressing it, and then using a tiny vision decoder to read it back with incredible accuracy. We're talking about a compression ratio of up to 10x with 97% decoding accuracy. Even at 20x compression they are achieving 60% decoding accuracy! My head exploded live on the show when I read that. This is like the middle-out compression algorithm joke from Silicon Valley, but it's real. As Yam pointed out, this suggests our current methods of text tokenization are far from optimal.With only 3B and ~570M active parameters, they are taking a direct stab at long context inefficiency, imagine taking 1M tokens, encoding them into 100K visual tokens, and then feeding those into a model. Since the model is tiny, it's very cheap to run, for example, alphaXiv claimed they have OCRd' all of the papers on ArXiv with this model for $1000, a task that would have cost $7500 using MistalOCR - as per their paper, with DeepSeek OCR, on a single H100 GPU, its possible to scan up to 200K pages!

Jake is the founder and CEO of Serval, an AI-driven IT automation and service management platform that just raised $47M in Series A funding this week. Before founding Serval, Jake spent over five years at Verkada, where he led multiple products from 0-1 and helped scale the company across hardware and software. His years at Verkada taught him that winning in enterprise means delivering consumer-quality experiences to business buyers — a lesson that shapes how Serval turns complex IT automation into something that feels magical. In this episode, Jake and Brett dive into the lessons from Verkada that inspired Serval's founding, what it takes to disrupt entrenched enterprise categories, and practical tips for getting deeply embedded with customers and hiring high-quality candidates. In today's episode, we discuss: Why building “in existing categories” can be more powerful than creating new ones The lessons from Verkada that shaped Serval's platform strategy The customer interview question that unlocked the IT buyer's hidden pain points How Serval's automation builder uses AI to generate code-based workflows Redefining engineering and PM roles with forward-deployed engineers Keeping the hiring bar high in an AI-native startup Why there's a “land grab” moment right now in enterprise AI And much more... Where to find Jake: LinkedIn: https://www.linkedin.com/in/jakestauch/ Twitter/X: https://x.com/jakeserval Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast References: Alex McLeod: https://www.linkedin.com/in/alexmcleodio/ Clay: https://www.clay.com Cloudflare: https://www.cloudflare.com Cursor: https://cursor.sh Filip Kaliszan: https://www.linkedin.com/in/kaliszan/ Hans Robertson: https://www.linkedin.com/in/hansrobertson Linear: https://linear.app Okta: https://www.okta.com Rippling: https://www.rippling.com Serval: https://www.serval.com/ ServiceNow: https://www.servicenow.com Verkada: https://www.verkada.com Workday: https://www.workday.com Timestamps: (02:25) Lessons from holding different product roles (07:29) Turning “hard mode” into a moat (10:49) The early days of Serval (12:59) Scratching the founder itch (14:57) Unconventional interview techniques (17:47) Solving core interview challenges (21:10) Planning the early product roadmap (23:03) The surprising power of patience (26:12) Serval's impressive technical advantage (27:35) Disrupting legacy incumbents (31:13) Building for mid-market and enterprise (33:35) Serval's enduring roadmap (36:08) How to sell to an existing market (39:16) The evolving role software plays (43:55) Building for AI that didn't exist yet (49:49) Serval's forward-deployed engineers (58:31) The hybrid PM-GM (1:00:27) “You can over-prioritize” (1:02:48) The unexpected value of panic buttons (1:04:50) What Serval looks for in new talent (1:07:01) The ultimate hiring litmus test (1:13:59) Building out Serval's go-to-market function (1:16:31) The evolving IT market in 2025

Gorkem Yurtseven is the co-founder and CEO of fal, the generative media platform powering the next wave of image, video, and audio applications. In less than two years, fal has scaled from $2M to over $100M in ARR, serving over 2 million developers and more than 300 enterprises, including Adobe, Canva, and Shopify. In this conversation, Gorkem shares the inside story of fal's pivot into explosive growth, the technical and cultural philosophies driving its success, and his predictions for the future of AI-generated media. In today's episode, we discuss: How fal pivoted from data infrastructure to generative inference fal's explosive year and how they scaled Why "generative media" is a greenfield new market fal's unique hiring philosophy and lean

Nicole Forsgren created the most widely used frameworks for measuring developer productivity—DORA and SPACE. She wrote the foundational book Accelerate and is about to release her newest book, Frictionless, a practical guide for helping teams move faster in the AI era. She's currently Senior Director of Developer Intelligence at Google.We discuss:1. Why most productivity metrics are a lie2. Signs that your engineering team could be moving much faster3. Why AI accelerates coding but developers aren't speeding up as much as you think4. AI's impact on engineers getting into “flow”5. Her framework for building and scaling a developer experience team6. The three components of developer experience: flow state, cognitive load, and feedback loops—Brought to you by:Mercury—The art of simplified finances: https://mercury.com/WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Where to find Nicole Forsgren:• Twitter: https://twitter.com/nicolefv• LinkedIn: https://www.linkedin.com/in/nicolefv/• Website: https://nicolefv.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 Nicole Forsgren(05:09) The concept of developer experience (DevEx)(08:33) Flow state and cognitive load in the age of AI(12:02) Challenges in measuring productivity with AI(21:19) The importance of developer experience for business value(22:20) Common issues and solutions in developer experience(26:49) Signs your eng team is moving too slow(29:52) How AI is improving productivity(33:32) Real examples of productivity improvements(36:35) Introducing her new book, Frictionless(43:40) How to get started building a DevEx team(45:15) The impact of forming developer experience teams(46:15)  How to measure the impact of DevEx teams(48:53) Measuring the impact of AI tools on productivity(55:16) Survey design for developer experience(57:59) Popular AI tools for developers(59:08) Bringing a product mindset to DevEx improvements(01:00:40) AI corner(01:02:33) Lightning round and final thoughts—Referenced:• How to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, GitHub, Google): https://www.lennysnewsletter.com/p/how-to-measure-and-improve-developer• DORA: https://dora.dev/• The SPACE framework: A comprehensive guide to developer productivity: https://getdx.com/blog/space-metrics/• Measuring developer productivity with the DX Core 4: https://getdx.com/research/measuring-developer-productivity-with-the-dx-core-4/• Gloria Mark's website: https://gloriamark.com/• Taking Flight with Copilot: https://dl.acm.org/doi/10.1145/3589996• DevEx in Action: https://spawn-queue.acm.org/doi/10.1145/3639443• CodeX: https://openai.com/codex/• Devin: https://devin.ai/• Abi Noda on LinkedIn: https://www.linkedin.com/in/abinoda/• DX is joining Atlassian: https://getdx.com/blog/dx-is-joining-atlassian/• GitHub Copilot: https://github.com/features/copilot• 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• Gemini Code Assist: https://codeassist.google/• Claude Code: https://www.claude.com/product/claude-code• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Love Is Blind on Netflix: https://www.netflix.com/title/80996601• Shrinking on AppleTV+: https://tv.apple.com/us/show/shrinking/umc.cmc.apzybj6eqf6pzccd97kev7bs• Ninja Creami: https://www.amazon.com/Ninja-NC301-CREAMi-Containers-Bundle/dp/B0BLGR5JPV/• Jura coffee maker: https://www.amazon.com/Jura-Nordic-Automatic-Coffee-Machine/dp/B0CF65BFZ1/—Recommended books:• Frictionless: https://developerexperiencebook.com/• DevEx Workbook: https://developerexperiencebook.com/#workbook• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• Back Mechanic: https://www.amazon.com/Back-Mechanic-Stuart-McGill-2015-09-30/dp/B01FKSGJYC• How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything in Between: https://www.amazon.com/How-Big-Things-Get-Done/dp/0593239512/• The Undoing Project: A Friendship That Changed Our Minds: https://www.amazon.com/dp/B01KBM82M4/—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

En este episodio exploramos cómo las herramientas de inteligencia artificial —desde los MCPs hasta asistentes como Cursor, Copilot, Jules o Warp— están cambiando la forma en que los programadores escriben, revisan y despliegan código. Hablamos sobre sus ventajas reales, los desafíos técnicos y el mito de que la IA convierte a cualquiera en programador.

Кажется пока еще разные Ai инструменты не могут делать работу современного тулинга встроенного в IDE, говорим об этом с Ильей из Amplicode. Вспоминаем Ли Робинсона https://t.me/taoplive/909 и Cursor. Еще раз вертим шутку про Мартина Фаулера. Именно об этом наш 335-й подкаст The Art of Programming — «Читать код придется». Участники @golodnyj Илья Кучмин (Developer Advocate, Amplicode) Telegram канал VK группа Яндекс Музыка iTunes подкаст Поддержи подкаст

Dylan Field is co-founder and CEO of Figma, a beloved tool used by every modern product team. Founded in 2012, Figma has expanded from a single design tool to a comprehensive platform including FigJam, Slides, Dev Mode, and, most recently, Figma Make. After a $20 billion acquisition by Adobe fell through due to regulatory pushback, Dylan led the company to a successful IPO in 2025.What you'll learn:• How Dylan kept internal morale up after the Adobe acquisition fell through• His approach to maintaining pace and a sense of urgency 13 years in• How to systematically develop taste• How Figma decides which product lines to add• Why Dylan obsesses over “time to value”• How AI is making design more valuable—Brought to you by:Stripe—Helping companies of all sizes grow revenue—Transcript: ⁠https://www.lennysnewsletter.com/p/why-ai-makes-design-craft-and-quality-the-new-moat⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175569466/my-biggest-takeaways-from-this-conversation⁠—Where to find Dylan Field:• X: https://x.com/zoink• LinkedIn: https://www.linkedin.com/in/dylanfield/—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 Dylan Field(03:58) The Adobe deal fallout(05:50) Maintaining team morale post-deal(09:13) Strategies for sustaining high performance(13:37) Maintaining Figma's unique company culture(16:22) Dylan's leadership evolution(21:03) How to improve clarity as a leader(24:40) The controversy behind FigJam(31:06) Lessons from expanding Figma's core product line(39:32) Time-to-value(45:14) Introduction to Figma Make(48:26) AI app prototyping and the future of Figma Make(53:38) Lessons from Figma's AI product launch(57:47) The importance of craft(59:54) Developing good taste(01:05:35) The future of product development(01:10:32) Why AI won't steal your job(01:14:37) AI corner(01:18:32) Lightning round and final thoughts—Referenced:• Dylan Field live at Config: Intuition, simplicity, and the future of design: https://www.lennysnewsletter.com/p/dylan-field-live-at-config• Figma: https://www.figma.com/• Adobe: https://www.adobe.com/• Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma): https://www.lennysnewsletter.com/p/vision-conviction-hype-mihika-kapoor• Notion's lost years, its near collapse during Covid, staying small to move fast, the joy and suffering of building horizontal, more | Ivan Zhao (CEO and co-founder): https://www.lennysnewsletter.com/p/inside-notion-ivan-zhao• $46B of hard truths from Ben Horowitz: Why founders fail and why you need to run toward fear (a16z co-founder): https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz• FigJam: https://www.figma.com/figjam/• Cursor chat: https://help.figma.com/hc/en-us/articles/4403130802199-Use-cursor-chat-in-Figma-Design• Figma Slides: https://www.figma.com/slides/• Figma Sites: https://www.figma.com/sites/• Figma Buzz: https://www.figma.com/buzz/• Figma Draw: https://www.figma.com/draw/• Figma Design: https://www.figma.com/design/• Dev Mode: https://www.figma.com/dev-mode/• Figma Make: https://www.figma.com/make/• Zach Lloyd on X: https://x.com/zachlloydtweets• Warp: https://www.warp.dev/• Dylan's post on X about Figma on an AI product leaderboard: https://x.com/zoink/status/1968588014935801884• Kurt Cobain: https://en.wikipedia.org/wiki/Kurt_Cobain• Damien Correll on LinkedIn: https://www.linkedin.com/in/damiencorrell/• Marcin Wichary on LinkedIn: https://www.linkedin.com/in/mwichary/• Loredana Crisan on LinkedIn: https://www.linkedin.com/in/loredanacrisan/• Amber Bravo on LinkedIn: https://www.linkedin.com/in/amberbravo/• Figma's 2025 AI report: Perspectives from designers and developers: https://www.figma.com/blog/figma-2025-ai-report-perspectives/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox#Energy_conservation_policy• AI prompt engineering in 2025: What works and what doesn't | Sander Schulhoff (Learn Prompting, HackAPrompt): https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff• Pantheon: https://www.imdb.com/title/tt11680642/• Retro: https://retro.app/• Thiel Fellowship: https://thielfellowship.org/—Recommended books:• Understanding Comics: The Invisible Art: https://www.amazon.com/Understanding-Comics-Invisible-Scott-McCloud/dp/006097625X• The Spy and the Traitor: The Greatest Espionage Story of the Cold War: https://www.amazon.com/Spy-Traitor-Greatest-Espionage-Story/dp/1101904216• Codex Seraphinianus: https://www.amazon.com/Codex-Seraphinianus-Anniversary-Luigi-Serafini/dp/0847871045Production 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

F5 discloses long-term breach tied to nation-state actors. PowerSchool hacker receives a four-year prison sentence. Senator scrutinizes Cisco critical firewall vulnerabilities. Phishing campaign impersonates LastPass and Bitwarden. Credential phishing with Google Careers. Reduce effort, reuse past breaches, recycle into new breach. Qilin announces new victims. Manoj Nair, from Snyk, joins us to explore the future of AI security and the emerging risks shaping this rapidly evolving landscape. And AI faces the facts. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Manoj Nair, Chief Innovation Officer at Snyk, joins us to explore the future of AI security and the emerging risks shaping this rapidly evolving landscape. In light of the recent high-severity vulnerability in Cursor, Manoj discusses how threats like tool poisoning, toxic flows, and MCP vulnerabilities are redefining what secure AI-driven development means—and why organizations must move faster to keep up. Selected Reading F5 disclosures breach tied to nation-state threat actor (CyberScoop) CISA Directs Federal Agencies to Mitigate Vulnerabilities in F5 Devices (CISA) ED 26-01: Mitigate Vulnerabilities in F5 Devices (CISA)  PowerSchool hacker sentenced to 4 years in prison (The Record)  Cisco faces Senate scrutiny over firewall flaws (The Register) Fake LastPass, Bitwarden breach alerts lead to PC hijacks (Bleeping Computer)  Google Careers impersonation credential phishing scam with endless variation (Sublime Security)  Elasticsearch Leak Exposes 6 Billion Records from Scraping, Old and New Breaches (HackRead)  Qilin Ransomware announced new victims (Security Affairs)  When Face Recognition Doesn't Know Your Face Is a Face (WIRED) Semperis Announces Midnight in the War Room: A Groundbreaking Cyberwar Documentary Featuring the World's Leading Defenders and Reformed Hackers (PR Newswire) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, we're joined again by Nan Yu, Head of Product at Linear. In this episode, Nan shares: Why you're wrong to think of AI as a way to reduce costs -- and why the real value is in enabling new work that was previously impossible The 3 must-haves he's deduced from across the most successful AI products to produce consistently great outcomes for users The behind-the-scenes details of Linear's new Agent Interaction Guidelines Links Nan's LinkedIn: https://www.linkedin.com/in/thenanyu/ Nan's X: https://x.com/thenanyu?lang=en Linear: https://linear.app/ Linear's previous episode of LaunchPod: https://youtu.be/7ISWLoQtNOc?si=dNKmSdQ98eqis_JW Resources Linear's Agent Interaction Guidelines: https://linear.app/developers/aig Granola.ai: https://www.granola.ai/ Cursor: https://cursor.com/ Chapters 00:00: Intro 03:24: Using AI as a harness, the systems and context layers that make AI tools repeatable and useful at scale 07:54: Scaling AI tools to ensure consistency and quality 14:14: Analyzing user interaction, tweak time, and feedback 18:29: Linear's new Agent Interaction Guidelines 22:14: How AI is changing the role of engineers 27:42: AI's impact on junior roles 30:10: Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Nan Yu.

In this episode, Eric shares how to set up AI agents using Lindy, Replit, and Claude Code—and how to choose the best one for your workflow. You'll see real projects like a meeting-prep bot, a Slack recruiting agent, and MCP-powered sub-agents inside Cursor. Eric also covers how to use calendar triggers, send automated messages, and scale ROI-driven workflows that save time and boost productivity. Key takeaways ● Lindy vs. Replit vs. Claude Code: setup and use cases ● Build a meeting-prep agent with social research ● Scale MCP sub-agents for marketing ROI TIMESTAMPS (00:00) AI agents intro and goals (00:19) Lindy setup and templates (04:34) Replit agents and Slack bot (06:44) Claude Code MCP with Cursor (08:21) Agentic leverage and workflow tips

Want to implement AI agents like $50M startups do? Get our ultimate guide: https://clickhubspot.com/fcv Episode 80: Are coders really being replaced by AI agents, or is this just the next tech hype cycle? Nathan Lands (https://x.com/NathanLands) is joined by repeat guest Matan Grinberg (https://x.com/matansf), co-founder of Factory—an agent-native software development platform backed by NEA, Sequoia, JP Morgan, and Nvidia. This episode dives deep into Factory's ambitious mission to transform software engineering by enabling developers—and entire organizations—to delegate painful, repetitive coding tasks to “droids,” Factory's intelligent agents. Matan shares strategies for helping massive enterprises adopt new workflows, how Factory's platform is built for surface/interface agnosticism (terminal, IDE, Slack, and more), and why optimization for teams—not individuals—will define the future of AI-powered development. Plus, debate about GPT-5's impact, the myth of “AI winters,” and what the real business ROI of AI looks like in the enterprise. 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) Scaling Teams to Empower Enterprises (03:54) Agent Native, Surface Agnostic Approach (09:07) Prioritizing Business ROI Over Code (12:10) Assessing Expertise Levels Quickly (16:01) AI Model Nuances and RL Shift (18:26) AI Enterprise Market Dynamics (22:41) Choosing AI Subscription Plans (25:43) Future-Focused, IDE-Agnostic Development (27:30) Adapting Cities and Enterprises (30:11) Embracing Change and Growth — Mentions: HubSpot Inbound: https://www.inbound.com/ Matan Grinberg: https://www.linkedin.com/in/matan-grinberg Factory: https://factory.ai/ Docusign: https://www.docusign.com/ Nvidia: https://www.nvidia.com/ Anthropic: https://www.anthropic.com/ Cursor: https://cursor.com/ 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 years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What's working, what's struggling and what's still unknown?SHOW: 966SHOW TRANSCRIPT: The Cloudcast #966 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:HOW ARE ENTERPRISES USING AI IN LATE 2025?5% have a clear vision of how to apply Predictive and Generative AI to a set of use-cases that drive differentiation, productivity improvements and cost reductions. They are keeping the details close to the vest.10% have allocated about 3-5% of their IT budgets to AI, typically from a C-level mandate, and have given it to Microsoft or Google. They have checked “the business is AI-enabled” and signaled to the market that they have fully embraced AI. The market is rewarding these companies at higher multiples. 85% aren't sure what use-cases to focus on, have unrealistic expectations during POCs, and are focused on the “no” areas instead of their own learning curves. Enterprises don't have great visibility into AI costs, and limited baselines of what AI should cost - pay for outcomes, pay for seats, pay for tokens, or pay for GPUs?Enterprises don't have easy access to GPUs outside of via SaaS services - makes it challenging for Private or Sovereign AI demand to be metRight now, there is no simple way for Enterprises to build AI AgentsRight now, there is no simple way for Enterprises to share AI experience / learning curve - AI is a very individualized experienceFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

This week, we discuss Apps in ChatGPT, OpenAI's Agent SDK and Codex. Plus, Matt has a possum problem down under. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) 541 (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) Runner-up Titles Living in the dark ages of Sequoia He's the racoon remover of the neighborhood Don't say we don't cover everything They're hoping someone's going to unlock a lot of value here, because I'm not seeing it The Low Code Trap Use the code “SDT150” and we'll send you money Rundown Open AI DevDay (https://openai.com/devday/) The Next Great Distribution Shift (https://blog.brianbalfour.com/p/the-next-great-distribution-shift) AMD stock skyrockets 30% as OpenAI looks to take stake in AI chipmaker (https://www.cnbc.com/2025/10/06/openai-amd-chip-deal-ai.html) OpenAI's Golden Touch Spreads as Stocks Soar (https://www.bloomberg.com/news/articles/2025-10-06/openai-s-golden-touch-spreads-as-stocks-soar-off-mere-mentions?cmpid=BBD100725_MONEYSTUFF&utm_medium=email&utm_source=newsletter&utm_term=251007&utm_campaign=moneystuff) OpenAI Is Good at Deals (https://www.bloomberg.com/opinion/newsletters/2025-10-06/openai-is-good-at-deals?srnd=undefined&embedded-checkout=true) (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close)## Relevant to your Interests Your Meta AI Chats Will Soon Influence the Ads You See (https://www.macrumors.com/2025/10/01/meta-ai-ad-targeting/) AWS API MCP Server v1.0.0 release - AWS (https://aws.amazon.com/about-aws/whats-new/2025/10/aws-api-mcp-server-v1-0-0-release/) Inside the cybersecurity boom, strong team, and bold gamble that helped Wiz CEO Assaf Rappaport win a $32 billion deal with Google (https://fortune.com/article/wiz-cloud-security-ceo-assaf-rappaport-google-sundar-pichai/) Linus Torvalds Lashes Out At RISC-V Big Endian Plans (https://www.phoronix.com/news/Torvalds-No-RISC-V-BE) Open Printer (https://www.crowdsupply.com/open-tools/open-printer) Have we passed peak social media? (https://archive.is/10cll#selection-1851.0-1854.0) Apple working on MCP support on Mac, iPhone, and iPad (https://9to5mac.com/2025/09/22/macos-tahoe-26-1-beta-1-mcp-integration/) A cartoonist's review of AI art (https://theoatmeal.com/comics/ai_art) GitHub leads the enterprise, Claude leads the pack—Cursor's speed can't close (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close) Cursor CLI (https://cursor.com/cli) Introducing Claude Sonnet 4.5 (https://www.anthropic.com/news/claude-sonnet-4-5) GitHub Copilot CLI is now in public preview (https://github.blog/changelog/2025-09-25-github-copilot-cli-is-now-in-public-preview/) Meet Jules Tools: A Command Line Companion for Google's Async Coding Agent (https://developers.googleblog.com/en/meet-jules-tools-a-command-line-companion-for-googles-async-coding-agent/) Announcing The Gem Cooperative (https://martinemde.com/2025/10/05/announcing-gem-coop.html) Qualcomm Buys Arduino, Will Bring AI Tools to Your DIY Tech Projects (https://www.pcmag.com/news/qualcomm-buys-arduino-will-bring-ai-tools-to-your-diy-tech-projects) Listener Feedback Join the Boulder AWS - Amazon Web Services | Meetup (https://www.meetup.com/boulder-aws-amazon-web-services/) Conferences AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Shark NV352 Navigator Lift Away Upright Vacuum (https://www.amazon.com/dp/B004Q4DRJW?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1) Matt: Murderbot (https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://tv.apple.com/us/show/murderbot/umc.cmc.5owrzntj9v1gpg31wshflud03&ved=2ahUKEwjYg_bfyZWQAxVvmmoFHYDdH30QFnoECBQQAQ&usg=AOvVaw0rXcF6igz8j5-_fPSRIRoB) Photo Credits Header (https://unsplash.com/photos/a-small-animal-sitting-on-top-of-a-leaf-covered-ground-kyHACltnSgU)

Nick Lane has some pretty wild ideas about the evolution of life.He thinks early life was continuous with the spontaneous chemistry of undersea hydrothermal vents.Nick's story may be wrong, but I find it remarkable that with just that starting point, you can explain so much about why life is the way that it is — the things you're supposed to just take as givens in biology class:* Why are there two sexes? Why sex at all?* Why are bacteria so simple despite being around for 4 billion years? Why is there so much shared structure between all eukaryotic cells despite the enormous morphological variety between animals, plants, fungi, and protists?* Why did the endosymbiosis event that led to eukaryotes happen only once, and in the particular way that it did?* Why is all life powered by proton gradients? Why does all life on Earth share not only the Krebs Cycle, but even the intermediate molecules like Acetyl-CoA?His theory implies that early life is almost chemically inevitable (potentially blooming on hundreds of millions of planets in the Milky Way alone), and that the real bottleneck is the complex eukaryotic cell.Watch on YouTube; listen on Apple Podcasts or Spotify.Sponsors* Gemini in Sheets lets you turn messy text into structured data. We used it to classify all our episodes by type and topic, no manual tagging required. If you're a Google Workspace user, you can get started today at docs.google.com/spreadsheets/* Labelbox has a massive network of domain experts (called Alignerrs) who help train AI models in a way that ensures they understand the world deeply, not superficially. These Alignerrs are true experts — one even tutored me in chemistry as I prepped for this episode. Learn more at labelbox.com/dwarkesh* Lighthouse helps frontier technology companies like Cursor and Physical Intelligence navigate the U.S. immigration system and hire top talent from around the world. Lighthouse handles everything, maximizing the probability of visa approval while minimizing the work you have to do. Learn more at lighthousehq.com/employersTo sponsor a future episode, visit dwarkesh.com/advertise.Timestamps(00:00:00) – The singularity that unlocked complex life(00:08:26) – Early life continuous with Earth's geochemistry(00:23:36) – Eukaryotes are the great filter for intelligent life(00:42:16) – Mitochondria are the reason we have sex(01:08:12) – Are bioelectric fields linked to consciousness? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

NLW breaks down five ways businesses are already using OpenAI's Sora 2 model — from product design and e-commerce video automation to creative marketing campaigns and new content platform opportunities. He also shares a practical guide to prompting for the best Sora results, explaining how to balance creativity with control and why “style and structure” matter most for high-quality output. Plus, in the headlines: Nvidia says 100% of its engineers now use AI coding tools like Cursor, Google launches Gemini 2.5 for computer use, Anthropic partners with IBM and Deloitte, and xAI releases a major upgrade to its Imagine video model.Brought to you by:Is your enterprise ready for the future of agentic AI?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit AGNTCY.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit Outshift Internet of Agents⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Notion AI today with Notion 3.0 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ntn.so/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠KPMG – 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 Insightwise - AI for the entire consulting lifecycle ⁠⁠⁠⁠⁠⁠https://www.insightwise.ai/⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The 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/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

In this episode of JavaScript Jabber, I sit down with AWS's Clare Liguori and Erik Hanchett to talk about Kiro, a brand-new AI-powered IDE that's reimagining the way developers build software. We dive into how Kiro takes “AI-assisted coding” to a new level through spec-driven development — a process that focuses on defining requirements and collaborating with AI to break projects into clear, manageable tasks.We unpack what sets Kiro apart from tools like Cursor and Copilot, explore its supervised vs. autopilot coding modes, and even talk about how it handles UI design, planning, and complex legacy codebases. Clare and Erik share behind-the-scenes insights on how Kiro was built using Kiro itself, what's coming next for the platform, and how developers can join the early-access community to help shape its future.

AI-powered "vibe coding" makes it easier than ever to turn your imagination into a working app, but are you building a fun hobby or a viable business? The line is blurring, and many creators are confusing the joy of building with the traction needed for a real startup. This episode provides a framework to help you distinguish between a passion project and a profitable venture, outlining the mindset and practical steps needed to turn a promising idea into a sustainable business. Learn how to avoid the common pitfalls of the "fast fashion era of software" and build something with lasting value. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. In this episode: The Fast Fashion Era of Software: What this new era, fueled by AI, means for builders and why it's both amazing and dangerous. Hobby vs. Hustle: How to define your intention and why it's the most critical first step before you continue building. 5 Foundational Lessons: A deep dive into five actionable principles, including customer discovery, the "Build, Measure, Learn" loop, and ruthless prioritization to transition your project from a hobby to a business. Think Beyond the Code: Learn why you must stop polishing your prototype and start validating your market with real people who have the problem you're solving. Mentioned in this episode... Companies & Products: Replit, Lovable.dev, Cursor, RoomGPT, Intuit TurboTax, Betty Crocker Books: The Lean Startup, The Mom Test Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

Wes and Scott talk with Kyle Cesmat about how Coinbase is writing nearly half its code with AI—while keeping quality and security front and center. They dig into tools like Cursor and Claude Code, agent-driven workflows, code review challenges, and how AI is reshaping developer productivity without replacing developers. Show Notes 00:00 Welcome to Syntax! 03:29 Defining and measuring “quality” at a large company 05:05 How AI-generated code is reviewed and shipped at Coinbase 07:35 A developer's workflow using AI—from ticket to production 10:30 Standard vs. team-specific tools for AI development 12:55 Using MCP servers to power internal AI workflows 14:42 MCP vs. custom agent integrations 17:16 What kinds of code AI is writing at Coinbase 19:48 Which languages and tasks does AI handle best? 21:21 Getting AI to follow existing code conventions greptile 24:36 Brought to you by Sentry.io 25:01 How AI affects hiring, velocity, and developer focus 28:16 AI's role in speeding up code reviews 31:28 The most valuable AI tool in Coinbase's stack 33:48 Managing AI costs and model choices 35:10 Security considerations for using external AI models 37:04 How often Coinbase tunes and adjusts its AI systems 39:26 Using AI to write code vs. embedding AI in customer-facing features 42:29 Kyle's big-picture take on AI as a tool—not a magic bullet Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity 44:33 The future of hiring engineers with their own “backpack” of agents 45:53 Sick Picks + Shameless Plugs Sick Picks Kyle: UltraShelf 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

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

In this episode, we explore the vast potential of AI technology and its slow adoption in legacy industries.Together with Meg Faibisch Kuhn, a former CPG marketer turned self-taught AI developer, we delve into how AI can revolutionize domains often overlooked by tech giants.From training farmers to aid food entrepreneurs, Meg has transformed her career by building with tools like Lovable and Cursor.We discuss her journey from marketing to coding, her innovative AI implementations for small businesses, and the significance of democratizing AI.Additionally, Meg introduces her initiative, Women Building with AI, aimed at encouraging women to enter the AI space.Tune in to discover how understanding domain expertise can make anyone an invaluable AI pioneer.--Key Moments:01:16 The Journey of Self-Teaching AI02:02 Leveraging AI for Marketing and Operations05:10 Using AI for Market Research and Problem Solving08:15 Automation and AI in Small Businesses13:05 Bridging the AI Knowledge Gap16:14 Women Building with AI: Empowering Non-Technical Creators23:16 Exploring AI Tools and Platforms28:47 Real-World AI Applications and Success Stories--Key Links:Idea to App with AIMeg FaibischSpread Aioli on YouTubeSpread Aioli on TikTokConnect with Meg on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

In this episode, we're revealing the bold angles of start-up survival as seen in Cursor Acquires Koala: Saving Employees. We explore how this acquisition is reshaping startup transitions amid a shifting tech landscape. Join us for a look into the story, the strategy, and the statement this deal makes.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleTo recommend a guest email: guests(@)podcaststudio.com

In this episode of the Mr. Beacon Podcast, we unpack Avery Dennison & Wiliot's latest partnership, share lessons from coding with AI tools like Cursor, and explore Amazon's Alexa+ upgrade. Then, we sit down with Ersan Günes, SVP IoT & Head of AI at Inpixon, to discuss Chirp technology, AI-powered tools like Ask Pixie, and how IoT and AI are converging to reshape factories, logistics, and smart environments.Ersan's Favorite Songs:“Lose Yourself” by Eminem: https://www.youtube.com/watch?v=xFYQQPAOz7Y“In The Air Tonight” by Phil Collins: https://www.youtube.com/watch?v=YkADj0TPrJA“Don't Stop Me Now” by Queen: https://www.youtube.com/watch?v=HgzGwKwLmgMMister Beacon is hosted by Steve Statler, CEO of ambientChat.ai — Using AI to connect people with places and things with an app that puts you in control of YOUR data.Our sponsor is Identiv https://www.identiv.com, whose IoT solutions create digital identities for physical objects, enhancing global connectivity for businesses, people, and the planet. We are also sponsored by Blecon http://www.blecon.net. Blecon enables physical products to communicate with cloud applications using Bluetooth Low Energy. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jared Zoneraich, CEO and co-founder of PromptLayer, about how AI is reshaping the craft of software building. The conversation covers PromptLayer's role as an AI engineering workbench, the evolving art of prompting and evals, the tension between implicit and explicit knowledge, and how probabilistic systems are changing what it means to “code.” Stewart and Jared also explore vibe coding, AI reasoning, the black-box nature of large models, and what accelerationism means in today's fast-moving AI culture. You can find Jared on X @imjaredz and learn more or sign up for PromptLayer at PromptLayer.com.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop opens with Jared Zoneraich, who explains PromptLayer as an AI engineering workbench and discusses reasoning, prompting, and Codex.05:00 – They explore implicit vs. explicit knowledge, how subject matter experts shape prompts, and why evals matter for scaling AI workflows.10:00 – Jared explains eval methodologies, backtesting, hallucination checks, and the difference between rigorous testing and iterative sprint-based prompting.15:00 – Discussion turns to observability, debugging, and the shift from deterministic to probabilistic systems, highlighting skill issues in prompting.20:00 – Jared introduces “LM idioms,” vibe coding, and context versus content—how syntax, tone, and vibe shape AI reasoning.25:00 – They dive into vibe coding as a company practice, cloud code automation, and prompt versioning for building scalable AI infrastructure.30:00 – Stewart reflects on coding through meditation, architecture planning, and how tools like Cursor and Claude Code are shaping AGI development.35:00 – Conversation expands into AI's cultural effects, optimism versus doom, and critical thinking in the age of AI companions.40:00 – They discuss philosophy, history, social fragmentation, and the possible decline of social media and liberal democracy.45:00 – Jared predicts a fragmented but resilient future shaped by agents and decentralized media.50:00 – Closing thoughts on AI-driven markets, polytheistic model ecosystems, and where innovation will thrive next.Key InsightsPromptLayer as AI Infrastructure – Jared Zoneraich presents PromptLayer as an AI engineering workbench—a platform designed for builders, not researchers. It provides tools for prompt versioning, evaluation, and observability so that teams can treat AI workflows with the same rigor as traditional software engineering while keeping flexibility for creative, probabilistic systems.Implicit vs. Explicit Knowledge – The conversation highlights a critical divide between what AI can learn (explicit knowledge) and what remains uniquely human (implicit understanding or “taste”). Jared explains that subject matter experts act as the bridge, embedding human nuance into prompts and workflows that LLMs alone can't replicate.Evals and Backtesting – Rigorous evaluation is essential for maintaining AI product quality. Jared explains that evals serve as sanity checks and regression tests, ensuring that new prompts don't degrade performance. He describes two modes of testing: formal, repeatable evals and more experimental sprint-based iterations used to solve specific production issues.Deterministic vs. Probabilistic Thinking – Jared contrasts the old, deterministic world of coding—predictable input-output logic—with the new probabilistic world of LLMs, where results vary and control lies in testing inputs rather than debugging outputs. This shift demands a new mindset: builders must embrace uncertainty instead of trying to eliminate it.The Rise of Vibe Coding – Stewart and Jared explore vibe coding as a cultural and practical movement. It emphasizes creativity, intuition, and context-awareness over strict syntax. Tools like Claude Code, Codex, and Cursor let engineers and non-engineers alike “feel” their way through building, merging programming with design thinking.AI Culture and Human Adaptation – Jared predicts that AI will both empower and endanger human cognition. He warns of overreliance on LLMs for decision-making and the coming wave of “AI psychosis,” yet remains optimistic that humans will adapt, using AI to amplify rather than atrophy critical thinking.A Fragmented but Resilient Future – The episode closes with reflections on the social and political consequences of AI. Jared foresees the decline of centralized social media and the rise of fragmented digital cultures mediated by agents. Despite risks of isolation, he remains confident that optimism, adaptability, and pluralism will define the next AI era.

In this episode of the Gen.AI Meetup Podcast, hosts Shashank and Mark dive into the latest AI developments that are reshaping how we create, code, and browse. They explore OpenAI's impressive Sora 2 video generation model and its built-in social network, compare it with Google's VO3, and discuss whether AI-generated content will become mainstream entertainment. The conversation shifts to the newest coding models, including Anthropic's Claude 4.5 Sonnet and Grok 4 Fast, examining their performance, pricing, and whether they're worth the cost for developers. Mark shares his experience vibe coding with Cursor and why faster, cheaper models might be better than the most powerful ones. The hosts also explore the maturing AI browser space, discussing Perplexity's Comet browser, Dia from the Browser Company, and Google's Gemini integration in Chrome. They debate whether these AI-native browsers can convince users to switch from Chrome and what features would actually make them indispensable. Finally, they tackle the big question: Is NVIDIA's $4.5 trillion valuation justified? They discuss the company's dominance in AI chips, the circular investment patterns in the industry, and whether specialized compute chips can compete with NVIDIA's end-to-end ecosystem. Timestamps: 0:00 - Intro & OpenAI's Sora 2 announcement 8:30 - Sora 2 vs Google VO3: The new video generation king 15:45 - Claude 4.5 Sonnet: Worth the premium price? 25:20 - Grok 4 Fast: Crazy cheap, crazy fast 35:15 - NVIDIA's dominance: Bubble or justified? 50:40 - AI browsers: Comet, Dia, and the future of browsing 1:02:15 - Ambient computing and what's next Mentioned Resources: OpenRouter - Multi-model API aggregator Cursor - AI-powered code editor Perplexity Comet - AI-native browser Upcoming event: Coding Agents Showcase - Jan 9th, Palo Alto https://partiful.com/e/joRDIOYMqpogKjNtvlHY  Don't forget to RSVP for our Coding Agents event featuring Zed, Augment Code, Code Flash, Factory AI, and more! Spots are limited and filling fast. Have questions? Drop them in the YouTube comments and we'll answer them in future episodes!

Listen now: Spotify, Apple and YouTubeIf you've ever considered turning your expertise into a scalable product—or wondered what it actually takes to build and sell a useful AI copilot—this episode is for you.In this episode, Ben shares the full behind-the-scenes story of how he packaged his product management knowledge into a sellable, high-leverage AI Practice Copilot. From initial validation to prototyping in Claude to vibe coding in Cursor and shipping using various AI tools, he walks through every decision point in the journey. You'll learn how to pick the right use case, what tools to use at each step, and the key insights that helped him turn his ideas into a real product in the market.Whether you're a founder, PM, coach, or subject matter expert, this conversation is packed with actionable tactics to help you create, position, and monetize your own AI-native product.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

Albert Cheng has led growth at three of the world's most successful consumer subscription companies: Duolingo, Grammarly, and Chess.com. A former Google product manager (and serious pianist!), Albert developed a unique approach to finding and scaling growth opportunities through rapid experimentation and deep user psychology. His teams run 1,000 experiments a year, discovering counterintuitive insights that have driven tens of millions in revenue.What you'll learn:1. How to use the explore-exploit framework to find new growth opportunities2. How showing premium features to free users doubled Grammarly's upgrades to paid plans3. What good retention looks like for a consumer subscription app4. Why resurrected users drive 80% of mature product growth5. Why “reverse trials” work better than time-based trials6. The three pillars of successful gamification: core loop, metagame, and profile —Brought to you by:Vanta—Automate compliance. Simplify security.Jira Product Discovery—Confidence to build the right thingMiro—A collaborative visual platform where your best work comes to life—Where to find Albert Cheng:• X: https://x.com/albertc248• LinkedIn: https://www.linkedin.com/in/albertcheng1/• Chess.com: https://www.chess.com/member/Goniners—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—Referenced:• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Explore vs. Exploit: https://brianbalfour.com/quick-takes/explore-vs-exploit• Grammarly: https://www.grammarly.com/• Reforge: https://www.reforge.com/• Chess.com: https://www.chess.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• 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• Figma: https://www.figma.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• Claude Code: https://www.anthropic.com/claude-code• GitHub Copilot: https://github.com/features/copilot• Noam Lovinsky on LinkedIn: https://www.linkedin.com/in/noaml/• The happiness and pain of product management | Noam Lovinsky (Grammarly, Facebook, YouTube, Thumbtack): https://www.lennysnewsletter.com/p/the-happiness-and-pain-of-product• Kyla Siedband on LinkedIn: https://www.linkedin.com/in/kylasiedband/• The Duolingo handbook: https://blog.duolingo.com/handbook/• Lenny's post on X about the Duolingo handbook: https://x.com/lennysan/status/1889008405584683091• The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir• Duolingo on TikTok: https://www.tiktok.com/@duolingo• Kasparov vs. Deep Blue | The Match That Changed History: https://www.chess.com/article/view/deep-blue-kasparov-chess• Magnus Carlsen: https://en.wikipedia.org/wiki/Magnus_Carlsen• Elo rating system: https://www.chess.com/terms/elo-rating-chess• Stockfish: https://en.wikipedia.org/wiki/Stockfish_(chess)• AlphaGo on Prime Video: https://www.primevideo.com/detail/AlphaGo/0KNQHKKDAOE8OCYKQS9WSSDYN0• Statsig: https://www.statsig.com/• The State of Product in 2026: Navigating Change, Challenge, and Opportunity: https://www.atlassian.com/blog/announcements/state-of-product-2026• Erik Allebest on LinkedIn: https://www.linkedin.com/in/erikallebest/• Daniel Rensch on X: https://x.com/danielrensch• Chariot: https://en.wikipedia.org/wiki/Chariot_(company)• San Francisco 49ers: https://www.49ers.com/• Breville Barista Express: https://www.breville.com/en-us/product/bes870—Recommended books:• Snuggle Puppy!: A Little Love Song: https://www.amazon.com/Snuggle-Puppy-Little-Boynton-Board/dp/1665924985• Ogilvy on Advertising: https://www.amazon.com/Ogilvy-Advertising-David/dp/039472903X• Dark Squares: How Chess Saved My Life: https://www.amazon.com/Dark-Squares-Chess-Saved-Life/dp/1541703286—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, the hosts dive deep into 'vibe coding' and its potential impact on software development. They discuss a range of AI tools including Firebase Studio, Cursor, and Windsurf, demonstrating how these platforms can simplify and accelerate the coding process. The conversation highlights a hands-on demo of creating a functional, web-based chat application using Firebase Studio in just a few minutes. The hosts also tackle broader topics such as the accelerating pace of AI technology, its potential to replace a significant portion of the workforce, and the exponential growth of AI capabilities. They also touch upon security concerns and long-term implications of AI on businesses and society. 00:00 Introduction and Spoilers 00:16 Welcome to Project Synapse 00:56 AI Fears and Public Perception 02:05 Microsoft AI Tour Insights 03:13 AGI Predictions and Discussions 08:51 Vibe Coding and AI Tools 16:03 Enterprise-Grade Vibe Coding 23:29 Real-World Applications and Productivity 36:43 Reflecting on Rapid Technological Change 37:38 Understanding the Singularity and Exponential Growth 39:34 The Impact of AI on Productivity and Security 40:48 The Chessboard Parable and Exponential Technology 42:20 Challenges and Opportunities in ERP Systems 46:35 Vibe Coding Demonstration 48:32 Creating a Debate Chat App with AI 57:25 Refining and Troubleshooting AI-Generated Code 01:02:44 Future of AI and Job Displacement 01:04:31 Next Week's Agenda and Closing Remarks

"Daqui a uns anos, 'você não precisa mais aprender a programar' vai ser um dos piores conselhos que você pode dar para carreira de alguém" - Andrew NG No sétimo episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com GUILHERME SILVEIRA , cofundador e CIO da Alura, sobre vibe coding, automação e o futuro da programação com inteligência artificial. Uma conversa sobre como IA está transformando o desenvolvimento de software e por que saber programar continua sendo essencial. Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!

Welcome to Dev Game Club, where this week we add to our series on Portal by interviewing Erik Wolpaw. We talk about his pre-Portal career, burnout, and success on small teams and large. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Podcast breakdown: 1:05 Interview 1:12:10 Break 1:12:41 Outro Issues covered: Valve credits, early Magic: The Gathering, growing up in the shadow of James Garfield's mausoleum, publishing in magazines, piracy early in the industry, getting in, getting sick, constantly shipping and crunch, breaking down, changing culture, having ownership vs not, the exhilaration and camaraderie at the end, drowning in game dev, starting with little films, getting in with the Portal kids, self-motivation at Valve, being on multiple projects, enhancing/amplifying the design, a cohesive experience, puzzle fatigue, gag bumpers, giving the environment a voice, not having to manage a big art team, a very small team, having the pressure off, not even knowing what you have, entertaining yourselves, the benefits of low expectations, having more pressure on the sequel, loving to leave a job, endings coming late, not getting it, thinking things will be bad before they turn out to be good, a notorious imbecile, the biggest "I told you so" moment, a good day has cake, not returning to the well, a Portal game without portals?, just jumping in and making the thing, writing for yourself and your interests, sensing creative investment, good vs crappy games, wanting to make Portal 3, wanting to join the industry, skipping right past the AI conversation, being open about the hard stuff, art: the optional stuff.  Games, people, and influences mentioned or discussed: Atari 400, Old Man Murray, Chet Faliszek, Tim Schafer, Double Fine, Psychonauts (series), Valve, Team Fortress, Left 4 Dead, Artifact, Half-Life (series), Aperture Desk Job, Richard Garfield, Magic: The Gathering, James Garfield, Scramble, Defender, Ballblazer, Rescue on Fractalus, Microsoft, Gabe Newell, Platinum Games, Source FilmMaker, The Orange Box, Mark Laidlaw, Jay Pinkerton, Narbacular Drop, Kim Swift, Fallout, Tim Cain, Leonard Boyarsky, Republic Commando, Daron Stinnett, Jonathan Coulton, Ellen McLain, The Crab Cracker, Severance, Office Space, Garrett Rickey, Realm Lovejoy, Josh Weier, Dave Grossman, Another Crab's Treasure, Peak, Cursor, Spelunky, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: TBA! Twitch: timlongojr and twinsunscorp  YouTube Discord  DevGameClub@gmail.com

In this episode, I sit down with Saket Saurabh (CEO of Nexla) to discuss the fundamental shift happening in the AI landscape. The conversation is moving beyond the race to build the biggest foundational models and towards a new battleground: context. We explore what it means to be a "model company" versus a "context company" and how this changes everything for data strategy and enterprise AI. Join us as we cover:Model vs. Context Companies: The emerging divide between companies building models (like OpenAI) and those whose advantage lies in their unique data and integrations.The Limits of Current Models: Why we might be hitting an asymptote with the current transformer architecture for solving complex, reliable business processes. "Context Engineering": What this term really means, from RAG to stitching together tools, data, and memory to feed AI systems. The Resurgence of Knowledge Graphs: Why graph databases are becoming critical for providing deterministic, reliable information to probabilistic AI models, moving beyond simple vector similarity. AI's Impact on Tooling: How tools like Lovable and Cursor are changing workflows for prototyping and coding, and the risk of creating the "-10x engineer." The Future of Data Engineering: How the field is expanding as AI becomes the primary consumer of data, requiring a new focus on architecture, semantics, and managing complexity at scale.

No Shoes At Work Is The New TrendA trend of workers going barefoot in the office has spread across Silicon Valley startups, sparking a debate as to whether shoeless workplaces could drive creativity or create conflict. Cursor, an AI coding company valued at nearly $10billion, as one of several firms adopting shoeless policies.  Some commenters saw it as aspirational, one calling it a “bucket list” workplace. Others mocked the idea with sneezing emojis or worried about hygiene. We put up a poll, I clocked the "barf" emoji.Cozy Cardio Trend                                                                                                                        Imagine swapping sweaty gym vibes for fuzzy socks, candles, and your favorite show while strolling on a walking pad — that's cozy cardio, the revived TikTok-born fitness trend that blends light exercise with maximum comfort.Here's how to get started:                                                                                                                                Gather cozy basics like candles, soft lighting, and a favorite beverage                                                Choose a simple cardio option: stationary bike, treadmill, or elliptical                                       Set the mood with a movie, TV show, book, or music you enjoy                                                            Go at your own pace at a time of day that feels rightCorey's Neck UpdateI've been dealing with crazy pain since I tripped over my German Shepherd's dog hammock. It was dark and the hammock was put together with metal bars. My neck landed on the metal bar. I have been seeing a chiropractor, but the pain just got worse and worse. I had an MRI and it showed stenosis, However, that wasn't the culprit. The nerves were already somewhat arthritic, but the fall exacerbated the situation and my nerves are in the seventh circle of hell. This is where "ablation" comes in. It's basically burning the nerve endings...which could keep pain at bay for up to 16 months. They do grow back but that is better than all of the pain killers I am taking. Thank god I am not pregnant; I'm keeping Tylenol in business. #autismSecond Date UpdateAlex said he met Marissa online and their rooftop dinner felt magical. He booked a table with a view, ordered a bottle of champagne, and said their conversation flowed all night. He figured they were lining up a second date for sure. She ghosted, and he wanted to know why.

Listen now: Spotify, Apple and YouTubeWhat does it mean to truly be an “AI-native” company? And how are product roles evolving when PMs are expected to both execute faster and make sharper strategic decisions?In this episode of Supra Insider, Marc and Ben sit down with Adam Fishman—host of the Startup Dad podcast and longtime product leader and advisor —to unpack the key themes from Reforge's recent AI Product Summit in San Francisco. Adam shares insights from conversations with leaders at OpenAI, Anthropic, Shopify, Zapier, and LinkedIn on how organizations are tackling AI adoption, redefining PM expectations, and navigating cultural change.The discussion ranges from Zapier's live prototyping interviews for new hires, to LinkedIn's shift from “product managers” to “product builders,” to the tension PMs face between increased executional leverage and the need for sharper strategic taste.Whether you're a PM figuring out how to stay relevant, a product leader navigating culture change, or just curious how AI is transforming product organizations, this episode is packed with lessons you can apply today.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

It's another edition of Tech Talk with Steve Thomson and Doug Swinhart! Topics explored: What to do if you don't want to move on from Windows 10 What the American market doesn't get access to Setting up accounts securely Avoiding password webs Top notch password managers Avoiding scams Checking sourcing when downloading apps Cellular networks in your appliances

In this episode, Conor and Bryce chat with Sean Parent about AI and Cursor!Link to Episode 253 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterAbout the Guest:Sean Parent is a senior principal scientist and software architect managing Adobe's Software Technology Lab. Sean first joined Adobe in 1993 working on Photoshop and is one of the creators of Photoshop Mobile, Lightroom Mobile, and Lightroom Web. In 2009 Sean spent a year at Google working on Chrome OS before returning to Adobe. From 1988 through 1993 Sean worked at Apple, where he was part of the system software team that developed the technologies allowing Apple's successful transition to PowerPC.Show NotesDate Recorded: 2025-08-21Date Released: 2025-09-26C++ Under the SeaBetter codeAdobe ASL Adam & Eve ArchitectureAdobe Software Technology LabASL LibrariesRust Programming LanguageIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

Hamel Husain and Shreya Shankar teach the world's most popular course on AI evals and have trained over 2,000 PMs and engineers (including many teams at OpenAI and Anthropic). In this conversation, they demystify the process of developing effective evals, walk through real examples, and share practical techniques that'll help you improve your AI product.What you'll learn:1. WTF evals are2. Why they've become the most important new skill for AI product builders3. A step-by-step walkthrough of how to create an effective eval4. A deep dive into error analysis, open coding, and axial coding5. Code-based evals vs. LLM-as-judge6. The most common pitfalls and how to avoid them7. Practical tips for implementing evals with minimal time investment (30 minutes per week after initial setup)8. Insight into the debate between “vibes” and systematic evals—Brought to you by:Fin—The #1 AI agent for customer serviceDscout—The UX platform to capture insights at every stage: from ideation to productionMercury—The art of simplified finances—Where to find Shreya Shankar• X: https://x.com/sh_reya• LinkedIn: https://www.linkedin.com/in/shrshnk/• Website: https://www.sh-reya.com/• Maven course: https://bit.ly/4myp27m—Where to find Hamel Husain• X: https://x.com/HamelHusain• LinkedIn: https://www.linkedin.com/in/hamelhusain/• Website: https://hamel.dev/• Maven course: https://bit.ly/4myp27m—In this episode, we cover:(00:00) Introduction to Hamel and Shreya(04:57) What are evals?(09:56) Demo: Examining real traces from a property management AI assistant(16:51) Writing notes on errors(23:54) Why LLMs can't replace humans in the initial error analysis(25:16) The concept of a “benevolent dictator” in the eval process(28:07) Theoretical saturation: when to stop(31:39) Using axial codes to help categorize and synthesize error notes(44:39) The results(46:06) Building an LLM-as-judge to evaluate specific failure modes(48:31) The difference between code-based evals and LLM-as-judge(52:10) Example: LLM-as-judge(54:45) Testing your LLM judge against human judgment(01:00:51) Why evals are the new PRDs for AI products(01:05:09) How many evals you actually need(01:07:41) What comes after evals(01:09:57) The great evals debate(1:15:15) Why dogfooding isn't enough for most AI products(01:18:23) OpenAI's Statsig acquisition(1:23:02) The Claude Code controversy and the importance of context(01:24:13) Common misconceptions around evals(1:22:28) Tips and tricks for implementing evals effectively(1:30:37) The time investment(1:33:38) Overview of their comprehensive evals course(1:37:57) Lightning round and final thoughts—LLM Log Open Codes Analysis Prompt:Please analyze the following CSV file. There is a metadata field which has an nested field called z_note that contains open codes for analysis of LLM logs that we are conducting. Please extract all of the different open codes. From the _note field, propose 5-6 categories that we can create axial codes from.—Referenced:• Building eval systems that improve your AI product: https://www.lennysnewsletter.com/p/building-eval-systems-that-improve• Mercor: https://mercor.com/• Brendan Foody on LinkedIn: https://www.linkedin.com/in/brendan-foody-2995ab10b• Nurture Boss: https://nurtureboss.io/• Braintrust: https://www.braintrust.dev/• Andrew Ng on X: https://x.com/andrewyng• Carrying Out Error Analysis: https://www.youtube.com/watch?v=JoAxZsdw_3w• Julius AI: https://julius.ai/• Brendan Foody on X—“evals are the new PRDs”: https://x.com/BrendanFoody/status/1939764763485171948• Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences: https://dl.acm.org/doi/abs/10.1145/3654777.3676450• Lenny's post on X about evals: https://x.com/lennysan/status/1909636749103599729• Statsig: https://statsig.com/• Claude Code: https://www.anthropic.com/claude-code• Cursor: https://cursor.com/• Occam's razor: https://en.wikipedia.org/wiki/Occam%27s_razor• Frozen: https://www.imdb.com/title/tt2294629/• The Wire on HBO: https://en.wikipedia.org/wiki/The_Wire—Recommended books:• Pachinko: https://www.amazon.com/Pachinko-National-Book-Award-Finalist/dp/1455563935• Apple in China: The Capture of the World's Greatest Company: https://www.amazon.com/Apple-China-Capture-Greatest-Company/dp/1668053373/• Machine Learning: https://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/1259096955• Artificial Intelligence: A Modern Approach: https://www.amazon.com/Artificial-Intelligence-Modern-Approach-Global/dp/1292401133/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.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

Jake and Michael dive into a wide range of topics, from coding practices in Laravel to the evolving role of AI in software development. They kick things off with daylight savings and weekend updates before moving into technical discussions on authorization, policies, and form requests in Laravel.The conversation expands to cover recent changes in middleware and controller patterns, contextual attributes in the service container, and practical approaches to request validation.Later, the focus shifts toward AI tools like Claude, Grok, and Cursor, including their strengths, frustrations, and industry-wide adoption pressures. We reflect on the uneasy balance between developer control and AI assistance, wrapping up with thoughts on productivity, value, and what it means to let machines write code.Show linksLawn HubArcade 1UpRetroPieMortal Kombat cabinetNuno's authorization on form requestsContextual AttributesGrok Code Fast 1

Julie Zhuo is the former VP and Head of Design at Facebook (now Meta), author of the bestselling book The Making of a Manager, and co-founder of Sundial, an AI-powered data analysis company. Also, my first-ever podcast guest over 3 years ago!In our conversation, we discuss:1. The three core manager skills that translate directly to managing AI agents2. How her team uses AI to learn new skills 10x faster3. The “diagnose with data, treat with design” framework for balancing gut and data4. Why hypergrowth AI companies have terrible data infrastructure (and why it doesn't matter)5. How to give feedback that actually lands—including Julie's exact script for difficult conversations6. What Julie's teaching her kids about an AI future (hint: it's not coding or STEM)—Brought to you by:Mercury — The art of simplified financesDX — The developer intelligence platform designed by leading researchersPostHog—How developers build successful products—Transcript: https://www.lennysnewsletter.com/p/from-managing-people-to-managing-ai-julie-zhuo—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/172723725/my-biggest-takeaways-from-this-conversation—Where to find Julie Zhuo:• X: https://x.com/joulee• LinkedIn: https://www.linkedin.com/in/julie-zhuo/• Website: https://www.juliezhuo.com/• Newsletter: https://lg.substack.com/• Sundial: https://sundial.so/—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, Julie!(05:18) The success of The Making of a Manager(08:41) Why AI will make everyone a manager(11:38) The future of management roles(14:00) Empowering teams with AI(21:30) Specific roles being accelerated by AI(26:53) Data analysis in AI companies(32:02) The role of data in design(37:21) The evolving role of managers in the AI era(40:22) Embracing change and uncertainty(42:14) Timeless lessons for managers(49:03) Balancing strengths and weaknesses(57:49) Building a feedback culture(01:05:33) Creating win-win situations(01:09:27) Being aware of your own energy and conviction(01:12:12) Navigating disagreements with higher-ups(01:15:57) AI corner(01:20:08) Contrarian corner(01:23:14) Lightning round and final thoughts—Referenced:• Julie Zhuo on accelerating your career, impostor syndrome, writing, building product sense, using intuition vs. data, hiring designers, and moving into management: https://www.lennysnewsletter.com/p/episode-2-julie-zhuo• Waymo: https://waymo.com/• How we restructured Airtable's entire org for AI | Howie Liu (co-founder and CEO): https://www.lennysnewsletter.com/p/how-we-restructured-airtables-entire-org-for-ai• 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• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• 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• The Magic Loop: https://www.lennysnewsletter.com/p/the-magic-loop• Dunning-Kruger effect: https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect• Eric Antonow on LinkedIn: https://www.linkedin.com/in/antonow/• Methaphone: https://methaphone.com/• Replit: https://replit.com/• “Baby” by Justin Bieber on Spotify: https://open.spotify.com/track/6epn3r7S14KUqlReYr77hA• Kingdom Rush: https://www.kingdomrush.com/• Dr. Becky on TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Emily Oster on TikTok: https://www.tiktok.com/@profemilyoster• La La Land on Netflix: https://www.netflix.com/title/80095365• Granola: https://www.granola.ai/• Matic robots: https://maticrobots.com/• Limitless pendant: https://www.limitless.ai/• How I AI: https://www.youtube.com/@howiaipodcast—Recommended books:• The Making of a Manager: What to Do when Everyone Looks to You: https://www.amazon.com/Making-Manager-What-Everyone-Looks/dp/0525540423• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884/• Zen and the Art of Motorcycle Maintenance: An Inquiry into Values: https://www.amazon.com/Zen-Art-Motorcycle-Maintenance-Inquiry/dp/0061673730• Conscious Business: How to Build Value Through Values: https://www.amazon.com/Conscious-Business-Build-through-Values/dp/1622032020• Good Inside: A Practical Guide to Resilient Parenting Prioritizing Connection Over Correction: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/0063159481/—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

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/

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