Podcasts about Coding

We dissect the hidden truths of orthopedic practice, from team building to practice management, physician burnout, and more. We explore insights with Dr. Atanda about the skills that aren't taught in medical school but are crucial for success. We discuss some of the general things and concepts you need to know about billing and. coding. Dr.Atanda gives us a great overview of some things that you may not have known! Alfred Atanda Jr., MD, is the director of the Sports Medicine Program, and a pediatric orthopedic surgeon and sports medicine specialist. He serves as assistant professor of orthopedic surgery and pediatrics at Sidney Kimmel Medical College of Thomas Jefferson University.  Dr. Atanda is a graduate of the University of Pennsylvania School of Medicine, completed an internship and orthopedic surgery residency at the University of Chicago Medical Center, and fellowships in pediatric orthopedic surgery at Nemours Children's and in sports medicine at the Rothman Institute at Thomas Jefferson University.  He performs arthroscopic surgery of the knee, elbow, ankle and shoulder, as well as general orthopedic and trauma surgical procedures. His research interests are in upper extremity overuse injury prevention and general orthopedic trauma. Recently, he has developed an interest in technology and digital health innovation and routinely uses telemedicine in his sports medicine practice. He is working with several stakeholders in the organization to re-imagine the process by which pediatric orthopedic patients are triaged, navigated, evaluated and treated during the continuum of their health care experience. Provides care in Wilmington, Del., and Abington, Pa. We answer questions you may have on the things you will encounter when it comes to billing, like: what is coding and billing should you know the people who bill in your department? coding tips + more

------------------- For our listeners, use the code 'EYECODEMEDIA22' for 10% off at check out for our Premiere Billing & Coding bundle or our EyeCode Billing & Coding course. Sharpen your billing and coding skills today and leave no money on the table! questions@eyecode-education.com https://docs.google.com/forms/d/e/1FAIpQLSdEt3AkIpRrfNhieeImiZBF5lYRIR2aAsl7UqWJ_m2GV6OKEA/viewform?usp=header https://coopervision.com/our-company/... Go to MacuHealth.com and use the coupon code PODCAST2024 at checkout for special discounts  Show Sponsors: CooperVision MacuHealth

In this episode of Tech Talks Daily, I sit down with Yuyu Zhang to unpack a shift that many developers can feel but struggle to articulate. Yuyu's journey spans academic research at Georgia Tech, building recommendation systems that power TikTok and Douyin at global scale, and leading the Seed-Coder project at ByteDance, which reached state-of-the-art performance among open source code models earlier this year. Today, he is part of Codeck, where the focus has moved beyond AI assistance toward autonomous coding agents that can plan, execute, and verify real engineering work. Our conversation begins with a simple but revealing observation. Most AI coding tools still behave like smarter autocomplete. They help you type faster, but they do not own the work. Yuyu explains why that distinction matters, especially for teams dealing with complex systems, tight deadlines, and constant interruptions. Autonomy, in his view, is not about replacing engineers. It is about giving them back their flow. We explore Verdent, Codeck's autonomous coding agent, and Verdent Deck, the desktop environment designed to coordinate multiple agents in parallel. Instead of one AI reacting line by line inside an editor, these agents operate at the task level. They plan work with the developer upfront, execute independently in safe environments, and validate their output before handing anything back. The result feels less like using a tool and more like managing a small engineering team. Yuyu shares how parallel agents change both speed and predictability. One agent can implement a feature, another can write tests, and another can investigate logs, all without stepping on each other. Just as important, he walks through the safeguards that keep humans in control. Explicit planning, permission boundaries, sandboxed execution, and clear, reviewable diffs are all designed to address the very real concerns engineering leaders have about letting autonomous systems near production code. The discussion also turns personal. Having worked on some of the highest-scale systems in the world, Yuyu reflects on why developers lose momentum. It is rarely about raw ability. It is about constant context switching. His goal with Verdent is to preserve mental focus by offloading interruptions and letting engineers return to work with clarity rather than cognitive fatigue. We close by looking ahead. The definition of a "good developer" is changing, just as it has many times before. AI is not ending programming. It is reshaping it, pushing human creativity, judgment, and design thinking to the foreground while machines handle the repetitive churn. If autonomous coding agents are becoming colleagues rather than helpers, how comfortable are you with that future, and what would you want to stay firmly in human hands?

Julian Sequeira from PyBites joins Sean and Kelly to share their top holiday gift picks for coders, makers, and educators. This episode features 15+ gift ideas ranging from budget-friendly maker tools to classroom robots—plus book recommendations, coding platforms, and a few surprises. Show Notes Wins of the Week Julian: Staying focused on "the one thing" at PyBites, plus 3D printing a custom cappuccino stencil for his local café Kelly: Surviving a muddy, clay-covered hill in North Carolina while on vacation Sean: Designing and 3D printing a custom bracket for his screen door using Fusion 360 Holiday Gift Ideas Julian's Picks Hoverboard with Go-Kart Attachment (~$299 AUD) - Two-wheeled self-balancing boards that can convert to a go-kart with a third wheel attachment. Available at Hoveroo (https://hoveroo.com.au) in Australia. Secret Coders Book Series (~$10-20 USD each) - A six-book graphic novel series that wraps coding puzzles and concepts into mystery stories. Recommended by Faye Shaw from the Boston PyLadies community. Great for ages 8-15. 3D Printer (~$200-300 USD) - Entry-level printers like the Bambu Lab A1 Mini or Elegoo Neptune 4 Pro have dropped significantly in price. Look for auto bed leveling as a key feature. Duolingo Chess (~$13/month with subscription) - A new addition to Duolingo that teaches chess tactics, strategy, and formal terminology through structured lessons. Great for building problem-solving skills. Classic Video Games (Zelda, Pokémon) - Story-driven games that build resilience and problem-solving skills, as an alternative to dopamine-heavy platforms like Roblox. Kelly's Picks Soccer Bot (~$59.99) - An indoor soccer training robot that challenges footwork skills. Works best on hard floors. "The Worlds I See" by Dr. Fei-Fei Li - Memoir of the computer scientist behind ImageNet and modern image recognition, covering her immigrant journey and rise in AI. A must-read for anyone interested in AI. LEGO Retro Radio Building Set (~$99) - A 1970s-style radio that you build, then insert your phone to play music. Features working dials that create authentic radio crackle sounds. Spydroid Loco Hex Robot (classroom investment) - A large spider-shaped robot that codes in Python and block programming. Features LIDAR and AI-based mapping. Seen at ISTE. Richtie Mini from Hugging Face ($299-$449) - An adorable AI desktop companion robot with onboard models. Two versions: one that connects to your computer and one that's self-contained. Sean's Picks LED Pucks (LED 001 Kit) (~$6-13) - Small USB-powered LED discs perfect for 3D printed projects like planet lamps. Available from Bambu Labs or Amazon. RGB versions include remote controls. Daily Desk Calendar (~$15-20) - A throwback gift that provides daily doses of humor, trivia, or inspiration. Suggestions include The Far Side, "They Can Talk," or "How to Win Friends and Influence People." PyBites Coding Platform (subscription) - Bite-sized Python challenges for sharpening coding skills. Great for teachers, students, and professionals looking for practical coding practice. Digital Calipers (~$40-50) - USB-rechargeable precision measuring tools essential for 3D printing and maker projects. Great for teaching geometry and measurement concepts. Deburring Tool (~$10) - A small tool with a curved swiveling blade for cleaning up 3D prints. A quality-of-life improvement for any maker's toolkit. Links Mentioned PyBites (https://pybit.es) - Python coaching and coding challenges Hoveroo (https://hoveroo.com.au) - Hoverboards (Australia) Bambu Lab (https://bambulab.com) - 3D printers and LED pucks Printables (https://www.printables.com) - 3D printing models MakerWorld (https://makerworld.com) - 3D printing models Hugging Face Richtie Mini (https://huggingface.co) - AI companion robot Duolingo (https://duolingo.com) - Language learning app with chess Secret Coders book series - Available on Amazon "The Worlds I See" by Dr. Fei-Fei Li - Available at bookstores Upcoming Events PyCon US 2026 - Long Beach, California Education Summit - Proposals open after the holidays, deadline around March/April Submit proposals when the website opens! Special Guest: Julian Sequeira.

Episode 165: Markus Erlandsson and Malin Martnes chatted with Nathan Sweeney from KPMG, about vibe coding. Nathan starts by describing what vibe coding is and some of the tools you can use to generate code. He then explains the vibe coding framework and how important that can be to help you be a better vibe … Continue reading Vibe Coding with Nathan Sweeney The post Vibe Coding with Nathan Sweeney first appeared on CRM Rocks.

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The "vibe coding will kill SaaS" narrative is everywhere right now, and I think it's completely wrong. Yes, anyone can spin up a Lovable or Bolt.new project in an afternoon. But there's a fundamental confusion happening: people are mistaking software products for software businesses. SaaS was never really about the software — it was always about the service, the operations, the years of edge cases and integrations and customer conversations that make a product actually work. In this episode, I break down why vibe-coded solutions fall apart the moment real customers show up, why "comprehension debt" is the hidden killer of AI-built projects, and how we might need to shift our messaging to make the invisible 20% of our work visible to buyers who now think they could build everything themselves.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/vibe-coding-wont-kill-saas/The podcast episode: https://tbf.fm/episodes/427-vibe-coding-wont-kill-saas Check 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

December 12, 2025 In this episode, Scott, Mark, and Ray Painter share highlights from the recent Urology Advanced Coding and Reimbursement Seminar in Las Vegas, including robust discussions on E/M coding, prostate biopsy changes, modifiers, and the Wiser program. They also provide an important update on the AMA's recent meeting about coding and payment for algorithmic services, detailing how CPT and the RUC are approaching AI integration in healthcare. From potential reimbursement models to risk assignment and FDA considerations, this forward-looking conversation covers the groundwork being laid for AI's role in clinical care and payment policy.Urology Advanced Coding and Reimbursement SeminarInformation and RegistrationPRS Coding and Reimbursement HubAccess the HubFree Kidney Stone Coding CalculatorDownload NowPRS Coding CoursesFor UrologistFor APPsFor Coders, Billers, and AdminsPRS Billing and Other Services - Book a Call with Mark Painter or Marianne DescioseClick Here to Get More Information and Request a Quote Join the Urology Pharma and Tech Pioneer GroupEmpowering urology practices to adopt new technology faster by providing clear reimbursement strategies—ensuring the practice gets paid and patients benefit sooner.         https://www.prsnetwork.com/joinuptpClick Here to Start Your Free Trial of AUACodingToday.com   The Thriving Urology Practice Facebook group.The Thriving Urology Practice Facebook Group link to join:https://www.facebook.com/groups/ThrivingPractice/ 

Explore how autonomous medical coding and AI are reshaping healthcare. Learn strategies to boost efficiency, accuracy, and address coder shortages.

Conosciamo Valeria Zuccoli, data scientist presso Intella, e approfondiamo il fenomeno del collasso dei modelli generativi che prendono in input dati generati da altri modelli generativi, esplorando le cause e le implicazioni di questo problema. Valeria ci presenta un esperimento di vibe coding per creare un sito di fake news, evidenziando la facilità con cui si possono diffondere informazioni false. RiferimentiTalk di ValeriaPaper citatiBohacek et al., Nepotistically Trained Generative-AI Models Collapse, 2023Shumailov et al., The Curse of Recursion: Training on Generated Data Makes Models Forget, 2023Amin et al., Escaping Collapse: The Strength of Weak Data for Large Language Model Training, 2025

Tune in to Lennar's Connor Johnstone on Atlanta land acquisition, data-driven underwriting, trends, and tech tools speeding deals for developers.The Crexi Podcast connects CRE professionals with industry insights built for smart decision-making. In each episode, we explore the latest trends, innovations and opportunities shaping commercial real estate, because we believe knowledge should move at the speed of ambition and every conversation should empower professionals to act with greater clarity and confidence.  In this episode of The Crexi Podcast, Shanti Ryle sits down with Connor Johnstone, a land acquisition manager at Lennar. They discuss Connor's transition from a professional baseball career to the real estate industry, emphasizing the importance of problem-solving, embracing failure, and leveraging technology.Connor shares insights on the development of an internal tool designed to streamline underwriting processes, which has significantly increased efficiency in evaluating land deals. The discussion also touches on the current state of the housing market in Atlanta, the challenges faced by first-time home buyers, and the role of technology in shaping the future of home-building. Tune in to learn about innovative strategies and key trends impacting today's commercial real estate landscape.Introduction to The Crexi PodcastMeet Connor Johnstone: From Baseball to Real EstateConnor's Journey: Physics, Coding, and Real EstateLessons Learned: Embracing Failure and InnovationBuilding Efficient Tools for Real EstateThe Power of ChatGPT and Learning CodingPractical Applications of AI in Land Acquisition & DevelopmentLeveraging Data in Home BuildingThe Future of Home Building TechnologyChallenges in the Housing MarketThe Rise of Build-to-Rent CommunitiesLong-Term View on Entry-Level HousingRapid Fire Questions and Wrap-Up  About Connor Johnstone:Connor Johnstone is a land acquisition manager at Lennar, one of the nation's largest homebuilders, where he plays a key role in identifying, underwriting, and securing development opportunities across the Atlanta metro area. Based in Smyrna, Georgia, Connor works on the front lines of Lennar's new community development strategy, focusing primarily on housing solutions for first-time homebuyers.Before entering the real estate world, Connor played professional baseball, an experience that shaped his discipline, teamwork, and strategic mindset—qualities that now inform his approach to development and deal-making. With a background in physics from Wake Forest University and a self-taught proficiency in coding, he has built internal web-based tools that streamline underwriting and decision-making for his division—innovations now being explored for company-wide use.Connor's approach blends traditional land acquisition principles with a forward-thinking use of technology, helping Lennar evaluate deals more efficiently and precisely in a rapidly changing housing landscape. As affordability challenges and build-to-rent opportunities continue to reshape the market, Connor's insight into site selection, market fit, and operational efficiency positions him as a valuable voice in the future of residential development. For show notes, past guests, and more CRE content, please check out Crexi's blog.Looking to stay ahead in commercial real estate? Visit Crexi to explore properties, analyze markets, and connect with opportunities nationwide. Follow Crexi:https://www.crexi.com/​ https://www.crexi.com/instagram​ https://www.crexi.com/facebook​ https://www.crexi.com/twitter​ https://www.crexi.com/linkedin​ https://www.youtube.com/crexi

There's an app for everything these days. Technology is an integral part of our everyday lives. Getting students ready for careers in technology has never been more demanding or exciting!  In this episode, we learn from app development educator, Brian Foutty. Brian brings decades of classroom teaching experience to his current job as a secondary math, app development and coding, and special education teacher at Trumbull Career and Technical Center in Warren, Ohio. He has also worked as a Mac and iPad systems administrator and a classroom technology integrator for the students and staff at Turnbull. Brian has been an active iOS app developer since 2011, and he worked for three years as an Apple Professional Learning Specialist. Brian firmly believes that all students can benefit and become better thinkers through formal coding learning experiences.   We chat with Brian about why he believes in teaching app development, and the skills your students learn in these courses. Brian shares how he gets students excited about coding, and how to celebrate their successes along the way. And, of course, we address big trends in technology like certification and the impact AI is having in the classroom and the workplace.  Ready to dive into the App Development with Swift certification exams? All our information is available here.   Interested in learning from educators like Brian? Join our CERTIFIED Academy program. Get all the details here.     Connect with other educators in our CERTIFIED Educator Community here.          Don't miss your chance to register for our annual CERTIFIED Educator's Conference here.      

Want to be more productive, creative and joyful? That's the outcome of Vibe Coding, a new concept and book by Gene Kim and Steve Yegge. In the first of a three-part series with co-author Gene Kim, he talks about how he got started on this project and how Vibe Coding offers new ways of working to tech and non-tech people alike. Links: - Gene Kim: https://itrevolution.com/author/gene-kim/ - Vibe Coding book: https://itrevolution.com/product/vibe-coding-book/ - Steve Yegge: https://en.wikipedia.org/wiki/Steve_Yegge - Erik Meijer: https://en.wikipedia.org/wiki/Erik_Meijer_(computer_scientist) -------------------------------------------------- You'll find free videos and practice material, plus our book Agile Conversations, at agileconversations.com And we'd love to hear any thoughts, ideas, or feedback you have about the show: email us at info@agileconversations.com -------------------------------------------------- About Your Hosts Douglas Squirrel and Jeffrey Fredrick joined forces at TIM Group in 2013, where they studied and practised the art of management through difficult conversations. Over a decade later, they remain united in their passion for growing profitable organisations through better communication. Squirrel is an advisor, author, keynote speaker, coach, and consultant, and he's helped over 300 companies of all sizes make huge, profitable improvements in their culture, skills, and processes. You can find out more about his work here: douglassquirrel.com/index.html Jeffrey is Vice President of Engineering at ION Analytics, Organiser at CITCON, the Continuous Integration and Testing Conference, and is an accomplished author and speaker. You can connect with him here: www.linkedin.com/in/jfredrick/

In this episode, Nathan and Scott talk about how quickly AI is changing the fundraising world. They look back at 2025 and think about what 2026 might bring. Nathan points out that no one expected AI to advance this quickly in just three years, and both agree that staying curious and adaptable is essential.  They share real examples, such as Nathan's young sons building apps, to show how easy it is to use AI tools. They also discuss AI's impact on jobs, with reports suggesting that nearly 12% of the US workforce could be affected.   A big part of the episode focuses on agentic AI—AI that can perform complex tasks on its own—and "vibe coding," which lets people build apps simply by talking to their computer. They also discuss Google's Gemini 3 and tools such as Notebook LM that make creating content faster and easier.  To wrap up, Nathan and Scott encourage listeners to stay open-minded, keep learning, and make the most of new AI opportunities as we head into 2026.  HIGHLIGHTS [05:05] AI's Impact on the Workforce and Personal Experiences   [08:03] The Role of Agentic AI and Vibe Coding   [21:14] Google's Gemini 3 and AI Integration   [30:10] AI Strategy and Ethical Considerations   [32:03] Looking Ahead to 2026 and Beyond  Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/ 

Originally published on the a16z Infra podcast. We're resurfacing it here for our main feed audience.AI coding is already actively changing how software gets built.a16z Infra Partners Yoko Li and Guido Appenzeller break down how "agents with environments" are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first. We also cover token economics for engineering teams, the emerging agent toolbox, and founder opportunities when you treat agents as users, not just tools. Resources:Follow Yoko on X: https://x.com/stuffyokodrawsFollow Guido on X: https://x.com/appenz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ian and Aaron discuss all things AI this week - from Claude Max to pairing Gemini with Claude to why people want to code but they don't want to sell and so much more.  Plus Aaron's secret soccer past and why the game (of getting a job) isn't fair.Sponsored by Bento, Flare, Ittybit, tldraw, OG Kit, Tighten, and NusiiInterested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - OD on AI (09:40) - Product vs Distribution (15:29) - Alcove (21:21) - What's Ian Building With AI? (27:18) - Using Claude With Gemini? (37:38) - Google or ChatGPT? (46:51) - Old Puritan Aaron (58:21) - The Game Is Unfair (01:03:20) - What's New With Database School? (01:07:13) - Sportsball! Links:Claude MaxAaron's tweet about a design tool he builtAlcoveLaravel Wrapped 2025Radix ColorsAmpCodeRabbitPrimeagen - 1 year, no jobHassan Nazari

Sébastien Stormacq, responsable des relations développeurs chez AWS, explique comment le Vibe Coding bouleverse la manière de programmer : générer une application complète en discutant simplement avec un agent IA, même depuis son canapé.Interview : Sébastien Stormacq, responsable des relations avec les développeurs chez AWSQu'est-ce que le Vibe Coding et qu'est-ce que ça change pour les développeurs ?Le Vibe Coding consiste à programmer avec l'IA. Grâce à un chatbot intégré dans l'environnement de développement, on peut lui demander résoudre un problème, d'analyser des erreurs ou de générer du code. Cela permet d'aller beaucoup plus vite. Par exemple, j'ai personnellement créé un jeu pour iOS en quelques minutes, du fond de mon canapé. Certes l'application n'était pas parfaite, mais l'agent me proposait spontanément des corrections, et en une heure, tout fonctionnait. Sans écrire une ligne de code ! Aujourd'hui, je l'utilise au quotidien pour tout ce qui est répétitif, rébarbatif, et ça me fait gagner un temps énorme. On peut d'ailleurs télécharger l'environnement Kiro directement sur le site kiro.dev.Le Vibe Coding peut-il être utilisé à l'échelle d'une entreprise ?Le Vibe Coding est très efficace pour un développeur seul, mais il n'est pas facilement répétable en équipe. On peut vite perdre la trace de ce qui a été généré, comment et pourquoi.C'est pour cela que nous avons introduit une approche plus structurée chez AWS : le Spec Driven Development. L'agent rédige d'abord des spécifications en langage naturel, puis propose un design technique, avant de générer les tâches et le squelette du projet. Toutes ces étapes sont documentées et versionnées dans le repository, par exemple sur GitHub. Cela permet de garder un historique clair, partageable, et d'évoluer proprement, même un an plus tard. C'est cette méthode qui rend possible le passage à l'échelle.Les agents autonomes : la prochaine étape ?On voit apparaître des agents capables de tourner longtemps, sur serveur, et d'exécuter des tâches de fond : analyser des logs, réagir à des erreurs, croiser des sources de données, alerter… C'est comme avoir une personne supplémentaire dans l'équipe, disponible 24h/24.Un agent, au fond, c'est juste du code. Il s'appuie sur un modèle pour décider quels outils utiliser et dans quel ordre. Moi, j'aime comparer ça à un passe-plat : le modèle décide, l'agent exécute, puis lui renvoie les résultats jusqu'à atteindre l'objectif fixé. Aucun mystère, juste des API et une boucle logique très simple.Podcast de Sébastien Stormacq : AWS en français.-----------♥️ Soutien : https://mondenumerique.info/don

开发者坦白局：我们每月花 $200–$600 在 AI 上，为何觉得 ROI 极高？在 RTE 2025 大会现场，《编码人声》召集 3 位身处 AI 编程浪潮不同位置的嘉宾——月之暗面开发者关系负责人、Vibe Friends 社区的发起人、Rokid 开发者生态负责人——同台拆解 AI 编程的真实生产力，探讨 Vibe Coding 的真相：AI 编程不会取代程序员，但会无情淘汰「仅会编码」的执行者。真正的机会，留给那些能与 AI 共创产品、直连用户、定义需求的下一代开发者。本期节目指出： AI 编程早已不是「辅助」，而是新工作流的基座：从 JetBrains 补全到 Kimi CLI，工具演进本质是「人类职责迁移」； 独立开发者正在用 Vibe Coding 实现「一人公司」：9.9 美元/月 × 300 用户 = 二三线城市体面生活； 传统行业才是 AI 编程的最大红利区：没有卷王、需求真实、竞争稀薄，老工程师+AI=降维打击； Vibe Coding 哪家强？还真不一定是 Claude Code：模型能力高度依赖训练数据分布：Java 强？Web 强？要看谁喂的数据多； 哪些代码适合交给 AI？哪些必须亲力亲为？高曝光 GitHub 项目 → AI 超神；小众语言 + 复杂推理 → 别碰 终极生存法则：别做「洗衣机不如手洗」的卢德主义者；算清时薪和投入产出比，敢为 SOTA 模型付费；接受「不可能三角」——时间、效果、成本，你只能保两个。 坦白局：我们最近退订了哪些 AI 工具？Perplexity、Midjourney、OpenRouter… 工具流动时代，没有永远的神本期播客录制于 RTE2025 大会「《编码人声》和 TA 的主播朋友们线下开放麦」活动，这是开放麦特辑的第 3 期。

Our AI Automation Workflows

In this episode of The Digital Marketing Podcast, Daniel Rowles introduces us to the process of Vibe Coding, a revolutionary approach to software development that leverages AI to make app creation accessible to anyone, regardless of coding experience. Vibe coding shifts the focus from writing manual code to guiding AI with natural language prompts, allowing non-developers to build interactive apps, tools, and even businesses. Daniel explores the three tiers of vibe coding, from basic one-page web apps to full-scale, secure, AI-powered platforms , and shares practical steps, tools and security tips to get started. The second half of the episode features a compelling interview with Christo Snyman, a podcast listener who used vibe coding to launch his AI assistant platform Traderly.ai. Christo takes us behind the scenes of building a real-world startup with no prior coding background, sharing his full tech stack, hard-earned lessons, and the mindset needed to succeed. In This Episode: What is Vibe Coding? Understand how natural language prompts can now be used to create working code, dramatically lowering the barrier to digital creation. The Three Levels of Vibe Coding Level 1: Build one-page apps using HTML, CSS, and React, no backend required Level 2: Add memory, interactivity, and live AI responses through API access Level 3: Create fully-fledged apps with user authentication, databases, and deployment Practical Use Cases - From interactive Google algorithm timelines to embedded AI tools for keyword research and content planning, Daniel shares how these tools are being used on Target Internet's own website. Christo's Journey - From Idea to Startup. Learn how Christo turned a common business pain point — small service businesses missing leads due to message overload — into a scalable SaaS platform. Discover his full tech stack including React, Azure Functions, PostgreSQL, Firebase, OpenAI, WordPress, and more. Key Takeaways: Anyone can now build apps using AI tools, whether it's a timeline, calculator, chatbot, or full customer-facing product. AI-assisted development removes fear and unlocks creativity, especially for entrepreneurs without a dev background. Start small and iterate, your Minimal Viable Product doesn't need to be perfect, it needs to be useful. Vibe coding is the bridge between ideas and execution - fast, flexible and increasingly powerful. The future of marketing and tech creation is conversational and it's already here.

Most practices think they need more—more patients, more visits, more volume. But what if the real revenue opportunity isn't volume at all… it's coding?In this episode, Dr. Heather sits down with Dr. Anne Hirsch, an internal medicine physician turned coding expert and physician coach, to explore why most practices are coding far below what their clinical work justifies—often doing a level 5 visit, documenting a level 4, and billing a level 3.You'll learn:• Why “fear-based coding” is silently draining your revenue• The most common undercoding patterns physicians don't realize they're doing• How better documentation reduces burnout and increases clinician confidence • Real examples of everyday visits that should nearly always be level 4s • How to implement quarterly audits, templates, and MDM habits that actually stick • Why physician-to-physician coding education creates better adoption and outcomes • How improved coding can add $30,000–$35,000+ per physician per year—without adding a single new patientIf your practice hasn't had a coding audit in the last 6–12 months, this episode is your wake-up call.Want a free coding evaluation for your practice? Email info@natrevmd.com with the subject line “Free Coding Evaluation” and our team will help you get started.

AI is evolving fast, but the next leap isn't about smarter chatbots. It's about systems that support learners in new ways. In this episode, Jerri and Jamie sit down with Darren Coxon: a trailblazer in agentic AI and one of today's most insightful voices on how AI can enhance learning.Darren unpacks the shift from generative AI to agentic AI, where systems don't just answer questions; they take action, analyze, iterate, and provide meaningful support to learners. Together, we break down how he partners with schools to implement AI responsibly so students build a deeper understanding, stronger skills, and real ownership of their learning. He also lays out a bold, five-year vision for AI in K–12 and explains why this moment is a once-in-a-generation chance to rethink what learning can be.---ABOUT OUR GUESTDarren Coxon is a globally recognized leader in AI-driven education solutions. He is renowned for his strategic expertise in implementing Artificial Intelligence (AI) within schools and educational organisations. As the Co-Founder of Kompass Education, Darren empowers schools and edtech companies to navigate the responsible and effective adoption of AI. Darren is an international speaker, working with leading schools and membership organisations worldwide. He is also a proud father of three.---SUBSCRIBE TO THE SERIES: ⁠⁠⁠YouTube⁠⁠⁠ | ⁠⁠⁠Spotify⁠⁠⁠ | ⁠⁠⁠Apple Podcasts⁠⁠⁠ | ⁠⁠⁠YouTube Music⁠⁠⁠ | ⁠⁠⁠Overcast⁠⁠⁠FOLLOW US: ⁠⁠⁠Website⁠⁠⁠ | ⁠⁠⁠Facebook⁠⁠⁠ | ⁠⁠⁠Twitter⁠⁠⁠ | ⁠⁠⁠LinkedIn⁠⁠⁠POWERED BY CLASSLINK: ClassLink provides one-click single sign-on into web and Windows applications, and instant access to files at school and in the cloud. Accessible from any computer, tablet, or smartphone, ClassLink is ideal for 1to1 and Bring Your Own Device (BYOD) initiatives. Learn more at ⁠⁠⁠classlink.com⁠⁠⁠.

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Satish Kothapalli about the transformative impact of AI and vibe coding in life sciences software development, the acceleration of drug development timelines, and the evolving roles of developers in an AI-augmented environment. Read a transcript of this interview: https://bit.ly/3M2E9ZH Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) QCon London equips senior engineers, architects, and technical leaders with trusted, practical insights to lead the change in software development. Get real-world solutions and leadership strategies from senior software practitioners defining current trends and solving today's toughest software challenges. https://qconlondon.com/ QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Google announced an expanded partnership with vibe-coding startup Replit that brings the company deeper into the Google Cloud. We sit down with Google Cloud President Matt Renner and Replit CEO Amjad Masad to dig into what the deal means about the future of AI coding boom. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Former CEA Chair Jason Furman argues why the Fed should not cut rates at next week's meeting, despite his expectation they will do so. Then, Google announcing a new deal in the AI coding space. CNBC breaks the news. Plus, are Geopolitical risks a buying opportunity? Goldman Sachs argues just that as tensions between the U.S. and China further escalates. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nexus Venture Partners manages $3.2 billion in capital across its funds and has invested in more than 130 companies over the years. Also, can Kiro win the hearts of startup founders above the many AI coding tools they already have? Amazon hopes a free year will tempt them. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com for Security Now canary.tools/twit - use code: TWIT

Cisco has finally admitted it's time for real change and is vowing to build "secure by default" gear after decades of criticism. Steve Gibson reacts to a rare moment when a tech giant actually gets security right—and what it means for everyone running critical infrastructure. • Scattered Lapsus$ Hunters strikes (Salesforce) again. • Cisco actually (no kidding) sees the light. • Next week, Australia bans all underage social media. • The EU Parliament moves to replace US computer tech. • When to use Passwords, Passkeys or Yubikeys. • Do unpowered SSDs lose their data. • How about a "Joy of Coding" podcast. • A Bitwarden Passkeys integration glitch. • XSLT is sneaky. It's where you don't expect it. • We know where last week's picture came from. • The long-awaited return of a new Stargate series. • A simple test to check our networks for any bot infections. Show Notes - https://www.grc.com/sn/SN-1054-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT vanta.com/SECURITYNOW bitwarden.com/twit threatlocker.com/twit canary.tools/twit - use code: TWIT

Steve Yegge is an industry veteran and the co-author of the recently published book Vibe Coding. Many of you will remember Steve's rant about Google platforms that I linked in one of my ancient 0800-DEVOPS newsletters. That rant is now 14 years old, but people still talk about it.We talked about vibe coding (the practice!) and Vibe Coding (the book!), whether junior developers are really doomed, the typical arguments people use against AI-assisted development, AI adoption in organizations, and what the future may bring.✨ Please leave a review on your favorite podcast platform, your feedback is gold. ✨Did you know there is a 0800-DEVOPS newsletter? Take a look and subscribe here.Text me what you think.

Nathan Sobo has spent nearly two decades pursuing one goal: building an IDE that combines the power of full-featured tools like JetBrains with the responsiveness of lightweight editors like Vim. After hitting the performance ceiling with web-based Atom, he founded Zed and rebuilt from scratch in Rust with GPU-accelerated rendering. Now with 170,000 active developers, Zed is positioned at the intersection of human and AI collaboration. Nathan discusses the Agent Client Protocol that makes Zed "Switzerland" for different AI coding agents, and his vision for fine-grained edit tracking that enables permanent, contextual conversations anchored directly to code—a collaborative layer that asynchronous git-based workflows can't provide. Nathan argues that despite terminal-based AI coding tools visual interfaces for code aren't going anywhere, and that source code is a language designed for humans to read, not just machines to execute. Hosted by Sonya Huang and Pat Grady, Sequoia Capital

They were once called “clinical documentation improvement” specialists, charged with correcting the medical record to identify an overlooked diagnosis that carried the potential to increase revenue. Later, the description was changed to clinical documentation “integrity” (CDI) specialists. But that was then. This is now.Today, the job description continues to change. CDI professionals are being asked to take on more and more responsibilities.And that is why the producers of Talk Ten Tuesday have invited Penny Jefferson, a longtime CDI professional, to be the special guest during the next live edition of the weekly Internet broadcast.The broadcast will also feature these instantly recognizable panelists, who will report more news during their segments:·      Social Determinants of Health: Tiffany Ferguson, CEO for Phoenix Medical Management, Inc., will report on the news that is happening at the intersection of medical record auditing and the SDoH.·      CDI Report: Cheryl Ericson, Senior Director of Clinical Policy and Education for the vaunted Brundage Group, will have the latest CDI updates.·      The Coding Report: Christine Geiger, Assistant Vice President of Acute and Post-Acute Coding Services for First Class Solutions, will report on the latest coding news.·      News Desk: Timothy Powell, ICD10monitor national correspondent, will anchor the Talk Ten Tuesdays News Desk.·      MyTalk: Angela Comfort, veteran healthcare subject-matter expert, will co-host the broadcast. Comfort is the Assistant Vice President of Revenue Integrity for Montefiore Health.

In this episode of How I Met Your Data: The Prompt, Anjali and Karen dig into one of the fastest-emerging patterns in development today: vibe coding - the practice of describing what you want and letting an LLM generate the code. It's new. It's evolving. And right now, it's causing as much frustration as it is excitement. Karen breaks down what vibe coding actually looks like in practice: developers prompting AI to produce entire features or files, navigating the wildly different “personalities” of today's LLMs, and learning how to guide systems that might generate brilliant structure… or unintended chaos. Together, they talk through the real friction points - overly eager model behavior, unexpected file changes, incomplete suggestions, and the creeping loss of hands-on debugging skills that used to tie engineers closer to their code. But underneath the surface is a bigger enterprise theme. The rise of vibe coding speaks to deeper issues: end users who still aren't getting what they need, bottlenecks in IT and data teams, and the rapid expansion of citizen development as people search for faster paths to outcomes. Anjali and Karen unpack the operational and governance implications, from maintainability and handoff challenges to compliance blind spots and the need for standards that can coexist with AI-assisted creation. They also dive into where AI does shine today - those repetitive, operational workflows that quietly save teams hours - and why focusing on value, ownership, and workflow design matters far more than chasing the next flashy LLM demo. This episode is an honest, grounded look at how AI-assisted development is taking shape: what's promising, what's painful, and what it means for teams trying to build responsibly, collaboratively, and at scale.

Ian and Aaron discuss Claude vs. Gemini, *another* Laravel New idea, drama on Thanksgiving, and so much more.Sponsored by Bento, Flare, Ittybit, tldraw, OG Kit, Tighten, and NusiiInterested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - Happy Cyber Monday! (01:39) - Follow Up (07:24) - AI Update: Claude vs. Gemini (24:43) - Laravel New, Again, Again? (36:30) - Ian's

In this episode, we talk with Simen, a senior software engineer and creator of Almost Done, a weekly email newsletter designed for neurodivergent developers and anyone who thinks a little differently. Simen shares how he built a format that supports real attention - short, scannable essays, intentional accessibility choices, and four writing “personas” that shape each issue's tone.We explore his creative workflow, why timing matters for engagement, and the “subscriber-first” philosophy that keeps the newsletter personal. Simen also opens up about career growth, simplicity in engineering, and practical systems that help with ADHD traits like hyperfocus and time blindness.It's an honest, uplifting conversation about writing, technology, and building a kinder approach to productivity. If the episode resonates, check out Almost Done and share it with someone who'd enjoy it.Sign up here - https://almostdone.news/Or view past issues - https://almostdone.news/issuesReach out to Simen on LinkedIn: https://www.linkedin.com/in/simendaehlin______

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On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Dax Raad, co-founder of OpenCode, for a wide-ranging conversation about open-source development, command-line interfaces, the rise of coding agents, how LLMs change software workflows, the tension between centralization and decentralization in tech, and even what it's like to push the limits of the terminal itself. We talk about the future of interfaces, fast-feedback programming, model switching, and why open-source momentum—especially from China—is reshaping the landscape. You can find Dax on Twitter and check an example of what can be done using OpenCode in this tweet.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop and Dax Raad open with the origins of OpenCode, the value of open source, and the long-tail problem in coding agents. 05:00 They explore why command line interfaces keep winning, the universality of the terminal, and early adoption of agentic workflows. 10:00 Dax explains pushing the terminal with TUI frameworks, rich interactions, and constraints that improve UX. 15:00 They contrast CLI vs. chat UIs, discuss voice-driven reviews, and refining prompt-review workflows. 20:00 Dax lays out fast feedback loops, slow vs. fast models, and why autonomy isn't the goal. 25:00 Conversation turns to model switching, open-source competitiveness, and real developer behavior. 30:00 They examine inference economics, Chinese open-source labs, and emerging U.S. efforts. 35:00 Dax breaks down incumbents like Google and Microsoft and why scale advantages endure. 40:00 They debate centralization vs. decentralization, choice, and the email analogy. 45:00 Stewart reflects on building products; Dax argues for healthy creative destruction. 50:00 Hardware talk emerges—Raspberry Pi, robotics, and LLMs as learning accelerators. 55:00 Dax shares insights on terminal internals, text-as-canvas rendering, and the elegance of the medium.Key InsightsOpen source thrives where the long tail matters. Dax explains that OpenCode exists because coding agents must integrate with countless models, environments, and providers. That complexity naturally favors open source, since a small team can't cover every edge case—but a community can. This creates a collaborative ecosystem where users meaningfully shape the tool.The command line is winning because it's universal, not nostalgic. Many misunderstand the surge of CLI-based AI tools, assuming it's aesthetic or retro. Dax argues it's simply the easiest, most flexible, least opinionated surface that works everywhere—from enterprise laptops to personal dev setups—making adoption frictionless.Terminal interfaces can be richer than assumed. The team is pushing TUI frameworks far beyond scrolling text, introducing mouse support, dialogs, hover states, and structured interactivity. Despite constraints, the terminal becomes a powerful “text canvas,” capable of UI complexity normally reserved for GUIs.Fast feedback loops beat “autonomous” long-running agents. Dax rejects the trend of hour-long AI tasks, viewing it as optimizing around model slowness rather than user needs. He prefers rapid iteration with faster models, reviewing diffs continuously, and reserving slower models only when necessary.Open-source LLMs are improving quickly—and economics matter. Many open models now approach the quality of top proprietary systems while being far cheaper and faster to serve. Because inference is capital-intensive, competition pushes prices down, creating real incentives for developers and companies to reconsider model choices.Centralization isn't the enemy—lack of choice is. Dax frames the landscape like email: centralized providers dominate through convenience and scale, but the open protocols underneath protect users' ability to choose alternatives. The real danger is ecosystems where leaving becomes impossible.LLMs dramatically expand what individuals can learn and build. Both Stewart and Dax highlight that AI enables people to tackle domains previously too opaque or slow to learn—from terminal internals to hardware tinkering. This accelerates creativity and lowers barriers, shifting agency back to small teams and individuals.

In this episode of CISO Tradecraft, host G Mark Hardy is joined by Neatsun Ziv from Ox Security to discuss the evolving landscape of vibe coding and its security implications. The conversation delves into the risks and opportunities surrounding vibe coding, how it can enhance productivity while maintaining security, and the importance of embedding security into the entire lifecycle. They also explore the concept of VibeSec, why traditional shift-left security approaches might be failing, and what new methodologies can be adopted to ensure robust security in a rapidly changing tech world. Tune in to gain valuable insights into how you can future-proof your code, leverage modern IDEs and MCP, and maintain a strong security posture in the era of AI-driven development.Ox Security's Website - https://www.ox.security/Are AI App Builders Secure - https://www.ox.security/resource-category/whitepapers-and-reports/are-ai-app-builders-secure-we-tested-lovable-base44-and-bolt-to-find-out/The AI Code Security Crisis - https://www.ox.security/resource-category/whitepapers-and-reports/army-of-juniors/

What happens when AI adoption surges inside companies faster than anyone can track, and the data that fuels those systems quietly slips out of sight? That question sat at the front of my mind as I spoke with Cyberhaven CEO Nishant Doshi, fresh from publishing one of the most detailed looks at real-world AI usage I have seen. This wasn't a report built on opinions or surveys. It was built on billions of actual data flows across live enterprise environments, which made our conversation feel urgent from the very first moment. Nishant explained how AI has moved out of the experimental phase and into everyday workflows at a speed few anticipated. Employees across every department are turning to AI tools not as a novelty but as a core part of how they work. That shift has delivered huge productivity gains, yet it has also created a new breed of hidden risk. Sensitive material isn't just being uploaded through deliberate actions. It is being blended, remixed, and moved in ways that older security models cannot understand. Hearing him describe how this happens in fragments rather than files made me rethink how data exposure works in 2025. We also dug into one of the most surprising findings in Cyberhaven's research. The biggest AI power users inside companies are not executives or early career talent. It is mid-level employees. They know where the friction is, and they are under pressure to deliver quickly, so they experiment freely. That experimentation is driving progress, but it is also widening the gap between how AI is used and how data is meant to be protected. Nishant shared how that trend is now pushing sensitive code, R&D material, health information, and customer data into tools that often lack proper controls. Another moment that stood out was his explanation of how developers are reshaping their work with AI coding assistants. The growth in platforms like Cursor is extraordinary, yet the risks are just as large. Code that forms the heart of an organisation's competitive strength is frequently pasted into external systems without full awareness of where it might end up. It creates a situation where innovation and exposure rise together, and older security frameworks simply cannot keep pace. Throughout the conversation, Nishant returned to the importance of visibility. Companies cannot set fair rules or safe boundaries if they cannot see what is happening at the point where data leaves the user's screen. Traditional controls were built for a world of predictable patterns. AI has broken those patterns apart. In his view, modern safeguards need to sit closer to employees, understand how fragments are created, and guide people toward safer workflows without slowing them down. By the time we reached the end of the interview, it was clear that AI governance is no longer a strategic nice-to-have. It is becoming a daily operational requirement. Nishant believes employers must create a clear path forward that balances freedom with control, and give teams the tools to do their best work without unknowingly putting their organisations at risk. His message wasn't alarmist. It was practical, grounded, and shaped by years working at the intersection of data and security. So here is the question I would love you to reflect on. If AI is quickly becoming the engine of productivity across every department, what would your organisation need to change today to keep its data safe tomorrow? And how much visibility do you honestly have over where your most sensitive information is going right now? I would love to hear your thoughts. Useful Links  Connect with Cyberhaven CEO Nishant Doshi on LinkedIn Learn more about Cyberhaven Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

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

AI Assisted Coding: Treating AI Like a Junior Engineer - Onboarding Practices for AI Collaboration In this special episode, Sergey Sergyenko, CEO of Cybergizer, shares his practical framework for AI-assisted development built on transactional models, Git workflows, and architectural conventions. He explains why treating AI like a junior engineer, keeping commits atomic, and maintaining rollback strategies creates production-ready code rather than just prototypes. Vibecoding: An Automation Design Instrument "I would define Vibecoding as an automation design instrument. It's not a tool that can deliver end-to-end solution, but it's like a perfect set of helping hands for a person who knows what they need to do."   Sergey positions vibecoding clearly: it's not magic, it's an automation design tool. The person using it must know what they need to accomplish—AI provides the helping hands to execute that vision faster. This framing sets expectations appropriately: AI speeds up development significantly, but it's not a silver bullet that works without guidance. The more you practice vibecoding, the better you understand its boundaries. Sergey's definition places vibecoding in the evolution of development tools: from scaffolding to co-pilots to agentic coding to vibecoding. Each step increases automation, but the human architect remains essential for providing direction, context, and validation. Pair Programming with the Machine "If you treat AI as a junior engineer, it's very easy to adopt it. Ah, okay, maybe we just use the old traditions, how we onboard juniors to the team, and let AI follow this step."   One of Sergey's most practical insights is treating AI like a junior engineer joining your team. This mental model immediately clarifies roles and expectations. You wouldn't let a junior architect your system or write all your tests—so why let AI? Instead, apply existing onboarding practices: pair programming, code reviews, test-driven development, architectural guidance. This approach leverages Extreme Programming practices that have worked for decades. The junior engineer analogy helps teams understand that AI needs mentorship, clear requirements, and frequent validation. Just as you'd provide a junior with frameworks and conventions to follow, you constrain AI with established architectural patterns and framework conventions like Ruby on Rails. The Transactional Model: Atomic Commits and Rollback "When you're working with AI, the more atomic commits it delivers, more easy for you to kind of guide and navigate it through the process of development."   Sergey's transactional approach transforms how developers work with AI. Instead of iterating endlessly when something goes wrong, commit frequently with atomic changes, then rollback and restart if validation fails. Each commit should be small, independent, and complete—like a feature flag you can toggle. The commit message includes the prompt sequence used to generate the code and rollback instructions.  This approach makes the Git repository the context manager, not just the AI's memory. When you need to guide AI, you can reference specific commits and their context. This mirrors trunk-based development practices where teams commit directly to master with small, verified changes. The cost of rollback stays minimal because changes are atomic, making this strategy far more efficient than trying to fix broken implementations through iteration. Context Management: The Weak Point and the Solution "Managing context and keeping context is one of the weak points of today's coding agents, therefore we need to be very mindful in how we manage that context for the agent."   Context management challenges current AI coding tools—they forget, lose thread, or misinterpret requirements over long sessions. Sergey's solution is embedding context within the commit history itself. Each commit links back to the specific reasoning behind that code: why it was accepted, what iterations it took, and how to undo it if needed. This creates a persistent context trail that survives beyond individual AI sessions. When starting new features, developers can reference previous commits and their context to guide the AI. The transactional model doesn't just provide rollback capability—it creates institutional memory that makes AI progressively more effective as the codebase grows. TDD 2.0: Humans Write Tests, AI Writes Code "I would never allow AI to write the test. I would do it by myself. Still, it can write the code."   Sergey is adamant about roles: humans write tests, AI writes implementation code. This inverts traditional TDD slightly—instead of developers writing tests then code, they write tests and AI writes the code to pass them. Tests become executable requirements and prompts. This provides essential guardrails: AI can iterate on implementation until tests pass, but it can't redefine what "passing" means. The tests represent domain knowledge, business requirements, and validation criteria that only humans should control. Sergey envisions multi-agent systems where one agent writes code while another validates with tests, but critically, humans author the original test suite. This TDD 2.0 framework (a talk Sergey gave at the Global Agile Summit) creates a verification mechanism that prevents the biggest anti-pattern: coding without proper validation. The Two Cardinal Rules: Architecture and Verification "I would never allow AI to invent architecture. Writing AI agentic coding, Vibecoding, whatever coding—without proper verification and properly setting expectations of what you want to get as a result—that's the main mistake."   Sergey identifies two non-negotiables. First, never let AI invent architecture. Use framework conventions (Rails, etc.) to constrain AI's choices. Leverage existing code generators and scaffolding. Provide explicit architectural guidelines in planning steps. Store iteration-specific instructions where AI can reference them. The framework becomes the guardrails that prevent AI from making structural decisions it's not equipped to make. Second, always verify AI output. Even if you don't want to look at code, you must validate that it meets requirements. This might be through tests, manual review, or automated checks—but skipping verification is the fundamental mistake. These two rules—human-defined architecture and mandatory verification—separate successful AI-assisted development from technical debt generation. Prototype vs. Production: Two Different Workflows "When you pair as an architect or a really senior engineer who can implement it by himself, but just wants to save time, you do the pair programming with AI, and the AI kind of ships a draft, and rapid prototype."   Sergey distinguishes clearly between prototype and production development. For MVPs and rapid prototypes, a senior architect pairs with AI to create drafts quickly—this is where speed matters most. For production code, teams add more iterative testing and polishing after AI generates initial implementation. The key is being explicit about which mode you're in. The biggest anti-pattern is treating prototype code as production-ready without the necessary validation and hardening steps. When building production systems, Sergey applies the full transactional model: atomic commits, comprehensive tests, architectural constraints, and rollback strategies. For prototypes, speed takes priority, but the architectural knowledge still comes from humans, not AI. The Future: AI Literacy as Mandatory "Being a software engineer and trying to get a new job, it's gonna be a mandatory requirement for you to understand how to use AI for coding. So it's not enough to just be a good engineer."   Sergey sees AI-assisted coding literacy becoming as fundamental as Git proficiency. Future engineering jobs will require demonstrating effective AI collaboration, not just traditional coding skills. We're reaching good performance levels with AI models—now the challenge is learning to use them efficiently. This means frameworks and standardized patterns for AI-assisted development will emerge and consolidate. Approaches like AAID, SpecKit, and others represent early attempts to create these patterns. Sergey expects architectural patterns for AI-assisted development to standardize, similar to how design patterns emerged in object-oriented programming. The human remains the bottleneck—for domain knowledge, business requirements, and architectural guidance—but the implementation mechanics shift heavily toward AI collaboration. Resources for Practitioners "We are reaching a good performance level of AI models, and now we need to guide it to make it impactful. It's a great tool, now we need to understand how to make it impactful."   Sergey recommends Obie Fernandez's work on "Patterns of Application Development Using AI," particularly valuable for Ruby and Rails developers but applicable broadly. He references Andrey Karpathy's original vibecoding post and emphasizes Extreme Programming practices as foundational. The tools he uses—Cursor and Claude Code—support custom planning steps and context management. But more important than tools is the mindset: we have powerful AI capabilities now, and the focus must shift to efficient usage patterns. This means experimenting with workflows, documenting what works, and sharing patterns with the community. Sergey himself shares case studies on LinkedIn and travels extensively speaking about these approaches, contributing to the collective learning happening in real-time.   About Sergey Sergyenko   Sergey is the CEO of Cybergizer, a dynamic software development agency with offices in Vilnius, Lithuania. Specializing in MVPs with zero cash requirements, Cybergizer offers top-tier CTO services and startup teams. Their tech stack includes Ruby, Rails, Elixir, and ReactJS.   Sergey was also a featured speaker at the Global Agile Summit, and you can find his talk available in your membership area. If you are not a member don't worry, you can get the 1-month trial and watch the whole conference. You can cancel at any time.   You can link with Sergey Sergyenko on LinkedIn.

Tune in for some hands-on tips on how to use Claude code to create some amazing and not-so-amazing software. Paul will walk you through what worked and what didn't as he 100% vibe-coded a Python Flask application. The discussion continues with the crew discussing the future of vibe coding and how AI may better help in creating and securing software. Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-902

"... best model in the world..."

Today's episode digs into why Anthropic's surprise launch of Claude Opus 4.5 is landing like a true step-function moment for coding, agentic workflows, and the emerging paradigm of vibe-based software creation, with new benchmarks, early user tests, and developer reactions all pointing to a shift in how real work gets done; plus a quick look at the latest headlines including the White House's Genesis Mission and Amazon's massive new government-focused AI expansion. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

Today, we have an episode from our friends at Booming. In a recent episode, they reported how young people are choosing trade school over college out of fear of white-collar jobs drying up. Companies appear to be making big bets that AI can replace huge chunks of their workforces. It seems like “go to trade school” has become the new “learn to code.” But Dan Grossman, professor and vice director of the UW's Allen School of Computer Science and Engineering -- says the outlook isn’t so bleak for students who still want a career in tech. On today's episode: Are reports of AI driving a “white collar bloodbath” greatly exaggerated? Booming is a production of KUOW in Seattle, a proud member of the NPR Network. Our editor is Carol Smith. Our producers are Lucy Soucek and Alec Cowan. Our hosts are Joshua McNichols and Monica Nickelsburg. We can only make Seattle Now because listeners support us. Tap here to make a gift and keep Seattle Now in your feed. Got questions about local news or story ideas to share? We want to hear from you! Email us at seattlenow@kuow.org, leave us a voicemail at (206) 616-6746 or leave us feedback online.See omnystudio.com/listener for privacy information.

Wildest week in AI since December 2024.