Podcasts about software engineers

HOUR 3: If the software engineers don't even know what the future of AI looks like... full 2288 Tue, 18 Aug 2026 21:00:00 +0000 Zzw8gNV7xnCIckwSUg8XqRUtqcI52Zjd news The Dana & Parks Podcast news HOUR 3: If the software engineers don't even know what the future of AI looks like... You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News https://p

In this episode, Dave and Jamison answer these questions: Hi Dave & Jamison! I've been listening for almost a year now and have worked through nearly your entire back catalog in reverse. The podcast has genuinely helped me become a better engineer, so thank you! I'm two years into my software engineer career at a large infrastructure company. I was promoted to SWE II last year, and this year my manager told me she felt my work was promotion-worthy, but because I'd just been promoted and she had others on the team to consider, she wants to target me for next year's cycle instead. She gave me a spot bonus and said she'd try to make up for it in my raise. I understand and appreciate the honesty, but I'm also a little disappointed because I've worked hard to hit every milestone on the roadmap she gave me, and career progression does matter to me. My question is: How should I navigate the next year? What should I focus my 1:1s on? Should I push for a mid-year promotion if that's an option, or instead focus on building an undeniable case for next year? How would you approach this if you were in my shoes? Hey Dave and Jamison, Long time listener. First time question asker :). I recently joined a major tech company. Before this, I worked at a mid-sized company with about 200 engineers. In my old role, I built customer-facing products. The work was challenging and exciting, and I genuinely enjoyed it. I ended up moving to a new city to be closer to family and started looking for a job. The job search was brutal. Honestly, by the end of it, I would have accepted just about anything. Luckily, a major tech company extended an offer. The money was great, and I thought it would be a huge plus to have a major tech name on my resume. It is a fully remote role, but they did mention that they could go hybrid in the future. I knew ahead of time that the team built internal tools instead of customer-facing products. But after joining, I realized most of what we do is closer to operations than actual software engineering. I know I should have screened the team better. I was just so relieved to get a good offer from a top company that I accepted without thinking twice. I am not enjoying the work at all. I am not planning to quit immediately. However, I want to be ready to leave in about a year or earlier if they decide to lay us all off. I want to make sure I utilize my time here as best as possible. Do you have any suggestions on how I can best position myself for an internal transfer or an eventual external move? Also, I have been in this role for close to 2 months now. I did a 1-1 with the manager in my first week, but after that, have not had any 1-1s. He has not scheduled anything. I was thinking of scheduling it myself but not sure if that can be seen as too forward. Btw this is outside US, if that matters :) Thanks again for your advice and laughs.

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Patel of Arm and Mo Farhat of Google about how CPUs act as an “air traffic controller” for agentic workloads, handling orchestration, data preparation, semantic search, vector databases, code execution and API calls alongside GPUs and TPUs. Smaller AI models, including summarizers and evaluators, can also run effectively on CPUs for specialized tasks.  As agents increasingly generate and execute code, secure sandboxing becomes critical. Google's gVisor and GKE Agent Sandbox provide isolation and scalable environments, with the latter supporting up to 300 sandboxes per second per cluster. The discussion also explores efficiency and cost, with Google highlighting Axion's price-performance and energy-efficiency advantages across different workload types. Ultimately, the shift toward agentic AI is creating a more diverse compute environment where CPUs, GPUs and TPUs each play complementary roles in delivering scalable, efficient AI applications. Learn more from The New Stack around the latest in CPUs in the world of AI agents:  AI Agents Will Eat Enterprise Software, Just Not in One Bite  How to ground AI agents in accurate, context-rich data  Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Does moving faster with AI mean you get to skip the laws that governed every software project before it? Milan Milanovic argues the opposite, the old laws of software engineering now apply twice as hard.In this episode, Milan Milanovic, CTO and author of Laws of Software Engineering, returns to unpack why the laws that have quietly governed software projects for decades are more relevant than ever in the AI era. He walks through Gall's Law and why AI lets teams generate complex systems on unvalidated assumptions faster than ever, Conway's Law and how it now runs twice, shaping both human organizations and agent topologies, and Goodhart's Law and the trap of “tokenmaxxing” as a metric. Milan also covers Hofstadter's Law and the 90-90 rule, explaining why the last 10% of a project still takes as long with AI in the loop, and the Dunning-Kruger effect, where vibe coders overestimate their skills while senior engineers underestimate theirs. The conversation closes with his advice for juniors entering the field, his top five must-read books, and how he personally uses AI for research and planning rather than implementation.Key topics discussed:Gall's Law: the trap of generating complex systems with AIConway's Law now runs twice, on humans and on AI agent topologyWhy software architects should help design your org chartGoodhart's Law and the danger of “tokenmaxxing” as a metricThe 90-90 rule: why AI's last 10% still costs half the projectDunning-Kruger effect on vibe coders and expertsWhy less code beats more, even with AI writing it for freeTimestamps:(00:00) Trailer & Intro(03:02) What Inspired Milan to Write Laws of Software Engineering?(05:32) How Did a Book on Software Laws Reach Such a Global Audience?(06:49) How Should You Read the Laws of Software Engineering Book?(08:51) Why Does the Book Cover People and Planning, Not Just Technical Laws?(11:07) What Is Gall's Law in Software Engineering?(14:46) How Can You Apply Gall's Law When Using AI?(17:34) What Is Conway's Law in Software Engineering?(19:34) How Should Big Corporations Build New Products Without Structural Reorganization?(21:26) How Does Conway's Law Apply to Small AI-Powered Product Teams?(23:25) What Is Goodhart's Law in Software Engineering?(25:52) What Are the Best Examples of Counterbalance Metrics for Leaders Today?(28:06) What Kind of Outcomes Should You Actually Measure?(31:01) What Is Hofstadter's Law in Software Engineering?(33:35) How Does Hofstadter's Law Apply in the Age of AI?(36:41) What Is the Dunning-Kruger Effect?(40:10) How Does the Dunning-Kruger Effect Apply to Experienced Engineers Learning AI?(42:46) Are Any of These Laws Becoming Less Relevant Because of AI?(44:32) What Does the Lindy Effect Say About the Fate of Software Developers?(47:49) What Is the Best Career Advice for Junior Developers Entering the AI Landscape?(50:34) What Are the Top Five Must-Read Books for Software Engineers?(55:46) How Can Software Engineers Apply These Laws in Their Daily Work?(57:26) 3 Tech Lead Wisdom_____Milan Milanovic's BioMilan Milanović is the CTO and the author of Laws of Software Engineering. He holds a PhD in Computer Science, has more than 20 years of experience across .NET, Azure, and mobile development, and is a Microsoft MVP. He runs Tech World With Milan, a software engineering newsletter and community followed by more than 400,000 engineers. He writes about architecture, engineering leadership, and how AI is changing the way software gets built.Follow Milan:LinkedIn – linkedin.com/in/milanmilanovicTwitter / X – @milan_milanovicPersonal website – milan.milanovic.org Book's website - lawsofsoftwareengineering.com Newsletter - newsletter.techworld-with-milan.comLike this episode?Show notes & transcript: techleadjournal.dev/episodes/266.Follow @techleadjournal on LinkedIn and Instagram.Buy me a coffee or become a patron.

No one is hiring. AI took your job. Junior developers aren't needed anymore.I can't tell you how sick I am of hearing this but there is some truth to it.Things aren't roses and candy canes but they're not all doom and gloom either.Tom graduated from Parsity's coding bootcamp in 2025 and got hired faster than you might expect.There's no secret to his success but there are clues. He's got nothing to sell you but a lot to tell you.

ワールドモデルを理解するためがんばりました。A Functional Taxonomy of World Model https://substack.com/home/post/p-200386248感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

"AI scribes are just a feature. The record of clinical judgment is the moat."I talked with Kush Shah, founder and CEO of Noted Dent, on Startup Hustle this week. Noted Dent uses AI to handle clinical documentation for dentists, so practitioners aren't stuck writing notes at 11pm or on the weekend, and so they're covered when the auditors and health funds come knocking.Here's what you'll get out of it:⚡ Why vibe coding gets you to an MVP and no further, and why Kush deleted 8,000 lines of AI-generated code in three months⚡ Why the job of a software engineer has changed, and how AI has actually made it more human⚡ Why demand, not product, is the hardest thing in any business, even eight years in⚡ Why startups are the best place for young engineers to learn, and why job-title silos hold them back⚡ What actually makes the leap to CEO so hard when you come from a technical backgroundIf you're a technical founder, an engineer eyeing your next move, or anyone building in a regulated space, this one is worth your time.Listen to the Startup Hustle podcast anywhere you listen to podcasts!⏱️ Episode Breakdown01:06 Introduction and Anthony Jackson's background02:47 Is software development dead again?03:48 The impact of AI on coding and human judgment04:41 The importance of responsibility in software development06:33 The challenge of product management and customer feedback10:52 Transitioning from individual contributor to manager12:00 Building effective teams and leadership culture15:14 Anthony Jackson's leadership OS book and approach19:00 The significance of company and team culture21:41 The impact of good and bad managers22:06 Anthony Jackson's newsletter and coaching23:48 Connecting software developers with customers25:40 Empathy for users and understanding their experience29:06 Where to find Anthony Jackson's resources and booksLinks & ResourcesConnect with Kush Shah on LinkedIn - https://www.linkedin.com/in/kush-shah-kush/Noted Dent - https://noteddent.com/What Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

Answering engineer questions on AI pressure, career growth, product thinking and impact. Including the production incident I'm glad happened, and the mindset I refuse to accept when things break.In this video, we cover:- Whether managers are really demanding more output because of AI- Balancing fundamentals with AI coding tools and agents early in your career- Specialist vs generalist and when to lean into each- Visibility, personal branding and who gets credit for your work- Product thinking, evaluating impact and what I got wrong about content being kingFor software engineers at any level who want honest answers on career strategy in the agent era, from someone doing both engineering and product.Timestamps:00:00:00 - How to Spot the Next Big Thing00:03:15 - The Saying I Hate Most00:04:27 - The Production Mistake I'm Glad I Made00:07:32 - Are Managers Demanding More Because of AI?00:13:39 - Learning Fundamentals vs AI Coding Tools00:19:00 - Will AI Ever Get Good at Distributed Systems?00:20:51 - Specialist vs Generalist: When to Lean In00:26:35 - How to Become More Visible in Your Org00:31:49 - I Was Wrong: Content Isn't King00:35:03 - Workflows, Priorities and Hiring an Editor00:37:08 - What Being a Force Multiplier Really Means00:41:26 - How to Evaluate What's Worth Building00:45:01 - Product Thinking Without Years of Experience00:48:13 - Energy Management, Curiosity and Defining Success00:54:21 - Hair Talk

Você já pensou em seguir a carreira pública como desenvolvedor(a) de software? Embora muitas pessoas associem o setor público a algo burocrático e estável, a realidade é que existem grandes sistemas, desafios técnicos e oportunidades interessantes para quem quer atuar como dev. Conversamos com a Fernanda Macêdo, que tirou todas essas dúvidas e compartilhou sua experiência.

Intelの元CEOによる科学的マネジメント手法の伝説的な名著「High Output Management」について話しました。邦訳: ハイアウトプット マネジメント) 人を育て、成果を最大にするマネジメント https://amzn.to/4bPmZIQHigh Output Management https://amzn.to/3REtYxw感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human fully understands. In this episode ofThe New Stackpodcast, Sam Farid and Nate Heinrich of Chronosphere argue that AI agents should also be used for root-cause analysis, helping teams diagnose failures more quickly as model capabilities continue to improve.  Rather than immediately purchasing a commercial solution, they recommend organizations first build an in-house AI SRE. The process of documenting systems, dependencies, and operational knowledge creates valuable context that enables AI agents to troubleshoot effectively while improving institutional knowledge. Although Chronosphere offers its own AI SRE platform, the hosts emphasize that building an internal prototype helps teams understand their needs before evaluating vendor tools. As AI-generated code becomes more common, organizations that invest in mapping their systems and leveraging AI for operations will be better equipped to reduce downtime and support increasingly complex software environments. Learn more from The New Stack around AI SREs:  5 ways SRE AI agents are set to augment human capabilities The Future of AI in SRE: Preventing Failures, Not Fixing Them AI Reliability Engineering: Welcome to the Third Age of SRE Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Voice AI & Voice Agents https://voiceaiandvoiceagents.com/2025年の音声エージェント https://open.spotify.com/episode/31yLX95GkRdQInVsh21M3p?si=nEe8GMAoQm-5GBs4VyVieA感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA's Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them practical for enterprise and personal use alongside frontier cloud models. Rather than replacing large models, Conway envisions a “system of models” where specialized local models handle routine, cost-sensitive, or privacy-focused tasks, while larger frontier models tackle more complex reasoning. He explains that organizations can fine-tune smaller open models using domain-specific data, creating expert AI agents that reflect the specialized roles found within businesses.  NVIDIA supports this ecosystem through open models, training tools, and software such as NeMo, Dynamo, and Nemotron. Conway also highlights the growing importance of agentic harnesses, which give AI models access to tools, memory, and iterative workflows, significantly improving performance and reducing costs. Looking ahead, he expects AI orchestration to become increasingly important, with intelligent routing systems selecting the right model for each task based on complexity, cost, latency, and data governance requirements, enabling enterprises to balance performance, security, and efficiency. Learn more from The New Stack around NVIDIA's latest updates in AI: Palantir and Nvidia want to change who owns government AI  Nvidia's best model is now live Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Hoje o papo é sobre interpretabilidade em modelos de inteligência artificial! Neste episódio, conversamos sobre como pesquisas recentes, em especial da Anthropic, vêm buscando entender o que acontece por baixo do capô dos grandes modelos de linguagem, além de como eles chegam a determinadas respostas. De alinhamento a alucinações, passando por reasoning, emoções, J-Space, comportamentos emergentes e os desafios de abrir a caixa-preta das grandes IAs, a conversa é bastante abrangente e repleta de boas referências. Vem ver quem participou desse papo: Paulo Silveira, o host que usa a palavra governança Fernanda Kipper, Software Engineer & Founder na kipper.dev Vinny Neves, cohost, dev e professor na Alura Fabrício Carraro, co-host do IA Sob Controle, Program Manager da Alura, autor de IA e host do podcast Carreira Sem Fronteiras  Links:  Gemini Notebook (ex-NotebookLM) Podcast Naruhodo! O Império da IA IA Sob Controle 213: O Império da IA – Sonhos e Pesadelos na OpenAI de Sam Altman Logits: o que acontece antes da IA escolher a próxima palavra Estudo: A global workspace in language models Estudo: Emotion concepts and their function in a large language model Estudo: Reasoning models don’t always say what they think Projeto Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data Estudo: Persona vectors: Monitoring and controlling character traits in language models Estudo: Teaching Claude why Estudo: Mapping the mind of a large language model Estudo: Tracing the thoughts of a large language model Estudo: Agentic misalignment: How LLMs could be insider threats Estudo: Alignment faking in large language models Estudo: Measuring Faithfulness in Chain-of-Thought Reasoning Estudo: LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples Toda revolução tecnológica começa com quem antecipa o futuro e transforma ideias em soluções de alto impacto. Conheça os cursos da Alura + FIAP Skills & Go: Agentic Engineering, Building AI Products, e AI Data Strategy. Saiba mais sobre o Skills & Go. Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure's health, detects incidents, identifies root causes, and increasingly automates responses such as pausing problematic deployments and notifying affected customers. Built on Azure Resource Graph, Brain creates a real-time digital twin of Azure, mapping dependencies across hundreds of services, data centers, and regions. Although Brain predates the generative AI boom, years of data engineering, standardized service-level indicators (SLIs), and machine learning laid the foundation for today's capabilities.  Brain combines standardized SLIs, service-specific monitoring, and third-party signals to detect anomalies, while ML models dynamically establish service baselines and correlate outages with software rollouts. Microsoft says automated notifications have reduced customer support tickets by four to six times, with 80–90% of Brain-covered services receiving notifications within 15 minutes, often in under five. The company is also layering LLM-powered agents, called Triangle, on top of Brain to streamline incident routing and eventually enable AI agents to autonomously troubleshoot and remediate outages.   Learn more from The New Stack around the latest in Microsoft Azure: Meet Brain, the AI that decides when Azure is officially down  Microsoft's pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record  Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show marimo pair: marimo.io/pair Course transcripts announcement: talkpython.fm/blog anywidget: Jupyter Widgets made easy: talkpython.fm marimo: marimo.io blog: marimo.io GitHub: github.com given this: martinalderson.com llms.txt: talkpython.fm mcp: talkpython.fm cli: talkpython.fm open issues: github.com Discord: marimo.io Marimo Pair: marimo.io OpenCode: opencode.ai AI Tooling for Software Engineers in 2026: newsletter.pragmaticengineer.com Watch this episode on YouTube: youtube.com Episode #555 deep-dive: talkpython.fm/555 Episode transcripts: talkpython.fm Theme Song: Developer Rap

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大規模分散システムのレイテンシを安定させるためのさまざまな手法について、 Google の論文「The Tail at Scale」やRyoichiの経験をもとに話しました。https://research.google/pubs/the-tail-at-scale/感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

(0:00) Intro(0:02) Khutba, Qur'ani Aayat, Hadis, Dua(1:15) Insan Ashraf-ul-Makhlooqat Se Ahqar-ul-Makhlooqat Kab Banta Hai?(4:23) Insan: Kainat ka Shehzada(6:19) Insan ki Do Numberi(7:49) Misalon Se Samjhany ki Ahmiyat(9:50) Liberals ka Propaganda(11:44) Ulama aur Awam ka Language Barrier(13:25) Zaban ke Usool(18:21) Getup Se Dhoka Dena(20:08) Alamat aur Tareef mn Farq(21:52) Musalman ki Tareef aur Alamat(23:04) Definition is More Powerful Than Symbol(24:36) Definition of Lover(25:16) Tehzeeb Yafta Qaumon ki Definition(31:13) Social Media ka Dhoka(32:09) Aetadal ki Ahmiyat(36:32) Ikhtiyari Ghurbat aur Sadgi(38:39) Peer ki Bigarrny ki Alamaat(40:55) Mufti Rasheed Ahmed sb ka Ilmi Silsila(44:17) Mufti sb ko Hasil Hony Wali Tarbiyat(45:58) Shareefon Wala Getup Bana Kr Dhoka Dena(47:49) Dil ke Aamaal ki Ahmiyat(50:30) Mahabbat ki Taqat(52:01) Khanqahon mn Extremism(56:21) Mahabbat Pr Qabu(57:10) Kafir ka Jurm(58:31) Allah Se Mahabbat(59:16) Mufti sb ka Adventurous Mizaj(1:00:12) Sooraj ki Ibadat aur Shirk(1:01:07) Mazaron Se Madad Mangna(1:03:39) Aamilon ka Dhoka(1:04:45) Mahabbat ki Haqeeqat(1:05:58) Allah ke Liye Mahabbat vs Shehwat(1:07:43) Allah Se Shadeed Mahabbat ka Taqaza(1:11:29) Aulad Se Mahabbat aur Liberal Nazriya(1:13:11) European Women par Molana Tariq Jameel sb ka Bayan(1:14:51) Khulasa Bayan + Dua(1:15:22) Balochistan aur KPK mn Deheshatgardi ka Zimmedar Kon?(1:21:32) Bachon ke Naam(1:21:53) Walda Shadi ke Liye Na Maanay To?(1:23:00) Ijtemai Dua ka Saboot(1:26:30) Mutashabihat ka Mafhoom(1:38:01) KPK Operation(1:38:48) Roza Torne ka Kaffara(1:42:45) Tahajjud ki Rakaat(1:43:08) Fajar ki Jamaat ke Waqt Sunnat(1:44:16) Muscat Waly Sahib ka Masla(1:44:40) Japan Waly Jhoot Nahi Bolty?(1:46:58) Software Engineer ke Liye Deeni Planning(1:47:38) "What is Islam" Course(1:48:07) Taqatwar Momin(1:49:09) Dr. Abdul Qadeer Khan ki Shakhsiyat(1:50:32) Active Shakhs ki Ahmiyat(1:53:01) Active Aalim vs Sust Researchers(1:55:01) Sust Log aur Sust Mulk(1:58:58) Bap ke Wirasati Ghar ka Hiba Hosted on Acast. See acast.com/privacy for more information.

(Jul 10, 2026) Julius Faubel is spending his 3rd consecutive summer at the Antique Boat Museum building remarkable vessels from scratch.

We live in an age of rampant tribalism and knee-jerk reactions, and discussions surrounding AI generated media is no exception. I have been fairly apprehensive about this emerging technology up to this points, but I want to make sure that I am thinking in a rational and principled way.Josh Daws is a former Disney software Engineer and is currently the Vice President of Technology for The Blaze. He views AI as an artistic tool that is allow him to pick up his dream of directing film. You can find Josh on X at x.com/JoshDaws and watch his videos at https://www.youtube.com/@JoshDawsTV.Michael Kane is the author of the Western sci-fi series, After Moses, and he is currently running a Kickstarter campaign for his new book, The Witch of Hobomock Pass. You can find him on X at x.com/MichaelFKane and contribute to his campaign here: https://www.kickstarter.com/projects/michaelfkane/the-witch-of-hobomock-pass-a-frontier-fantasy-novelWatcht the video for this episode and subscribe to my channel here: https://youtu.be/1jTkmfAQ9SIBecome a patron of Mythic Mind at patreon.com/mythicmindListen to all THREE Mythic Mind podcasts:Mythic MindMythic Mind GamesMythic Mind Movies & Shows(or become a patron to get all three shows in one ad-free feed)Become a supporter of this podcast: https://www.spreaker.com/podcast/mythic-mind--5808321/support.

In this week's MBA Admissions podcast we began by discussing the current state of the MBA admissions season. While activity for this season is winding down, we do still anticipate a little more waitlist movement in the weeks ahead. For upcoming events, Clear Admit is also hosting a special webinar event for international students, scheduled for July 16, at 10AM Central European time. This webinar will explore the value of a U.S.-based MBA for international students, as well as the logistics of moving to the United States, getting a student visa, and staying for post-MBA employment. Clear Admit's MBA Essay Workshop series, which has now expanded to five events, is scheduled for July 21, 22 and 23, and July 28 and 29. These events will bring together an increasing number of the top MBA programs to discuss both their written essay prompts as well as their video essays. Signups for all events are here: https://www.clearadmit.com/events Graham highlighted Clear Admit's weekly refresh series, which tracks the top MBA programs' announcements related to the upcoming admissions season. We then discussed an admissions tip that focuses on the impact of volunteer experience on the MBA admissions process. Clear Admit continues its Adcom Q&A series. This week Graham noted Q&As from Harvard Business School, Georgetown / McDonough and UNC / Kenan Flagler. Finally, Graham continued with the Real Humans Alumni series. This week focuses on an alumnus from Yale, working at Pepsi Co. For this week, for the candidate profile review portion of the show, Alex selected three ApplyWire entries. This week's first MBA admissions candidate is a chemical engineer by training, and wants to use the MBA to pivot to consulting. This week's second MBA applicant appears to have strong founder experience. We worry about the combination of their undergraduate record and their lower test score. This week's final MBA candidate is a software engineer from India. They have a 322 GRE. We think it makes sense to try to improve that score. This episode was recorded in Paris, France and Cornwall, England. It was produced and engineered by the fabulous Dennis Crowley in Philadelphia, USA. Thanks to all of you who've been joining us and please remember to rate and review this show wherever you listen!

開発力を錆びさせないための学習ループについて話しました。"Human Capital" と "Token Capital"の話 https://x.com/satyanadella/status/2066182223213293753スローコーディング https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/Grill me skill https://www.aihero.dev/my-grill-me-skill-has-gone-viral感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

I interviewed Trond Nilsen about reluctantly using AI Hyperscalers & the aspiration for open source alternatives on Thursday, June 18, 2026 at Augmented World Expo in Long Beach, California. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

In this talk, Aleksandr Kim, Senior Data Scientist at Intuit, shares his expertise in building AI-powered features in production from fine-tuning BERT models in cyber security to engineering scalable data verification platforms. We explore the reality of moving beyond messy research code to build observable, cost-effective AI agents and automated pipelines.You'll learn about:- Translating traditional machine learning metrics into actionable business outcomes- Validating large language model behavior through robust evaluation and alignment techniques- Pivoting from a generic chatbot project to high-value Slack automation workflows- Structuring outputs and guided reasoning layers to eliminate trivial AI summaries- Defining the overlapping skills between AI engineers, data scientists, and full-stack software engineers- Implementing multi-LLM routing logic and token caching to minimize enterprise API expenses- Identifying critical data infrastructure bottlenecks to determine when to pivot or drop an AI pilotTIMECODES:00:00 AI Engineering Production and Scalability06:12 Intuit Ecosystem and QuickBooks Products12:17 Aligning ML Metrics with Business Outcomes18:52 AI Engineers Conducting Customer Interviews25:13 Structured Output and Guided Reasoning31:13 Defining AI Engineering vs Software Engineering37:20 Cost Optimization and Multi LLM Routing43:26 UI Trends and Token Management in Industry49:33 Future Career Trends in AI Engineering55:46 Data Infrastructure Bottlenecks and ML FailuresThis session is designed for mid-to-senior level Data Scientists, Machine Learning Engineers, and Software Engineers who want to develop a highly practical, production-first approach to generative AI. It is especially useful for technology leads focused on reducing token overhead and building self-correcting agentic systems.Connect with Aleksandr- Website - https://alexkimds.github.io/- Linkedin - https://www.linkedin.com/in/aleksandrkim/

In this episode, Dave and Jamison answer these questions: Hi D&J! Question from Sweden! I'm a senior dev that have seen a lot of orgs without tech lead and/or staff engineer roles. I know some companies have them, but mostly newer more techy companies. Bigger older less techy companies usually have non-coding “architects”. Though that's one title I have no good experience of, just neutral ones or worse :) In particular I've been in many teams without a tech lead (all developers are equal, no tiebreaker vote). It's often successful due to a leader and/or consensus emerging organically and peacefully. I loathe the failure modes however: consensus abuse through veto (we can't move discussion forward because someone explicitly actively disagrees, a “keeping the meeting hostage” situation), disagreement on technical priorities and choices (lowest common denominator it is…) or that the team is bickering and bikeshedding during technical discussions. Is this just a regional/cultural thing, or is it more about the type of org? Also would you say it's to the detriment of these orgs to not have these “technical leadership hierarchies”? Thanks! Hey Dave and Jameson, love the show. I'm a Software Engineer at a major tech company. The org is non technical. I consider myself pretty well rounded. I consistently hit my sprint goals, crush my story points, and even put in weekend commits when needed as well as talk but I dont look for conversations into work im too far away involved in. My direct manager thinks my output is good. He told me to work on communication, but the work and my drive is good. I have a relaxed demeanor in a high stress environment. Recently, I learned there are concerns that my “vibe” seems lazy and unengaged, and those concerns may have been shared with my skip-level manager. When my friend literally pulled up my raw metrics and story points to defend me, the friend had no answer, but just reiterated that it's a “vibe thing.” It feels like a political target has been placed on my back by business people who don't understand my work but hold corporate influence. I told my manager and he says im doing fine, and people will say what they say. Everyone talks, etc, and just to focus on his feedback. My question is: How do I fight a “vibe” complaint when the data says I'm crushing it? Should I cave and alter my lifestyle to play the corporate theater game, or do I double down on my metrics, lean on my manager, or dare them to try and figure out how valuable I am? Thanks, An Engineer Who Refuses to Look Bored

More than two decades after AWS helped usher in the public cloud era, many organizations are reassessing whether a cloud-first strategy still delivers the cost and operational benefits it once promised. While hyperscalers such as AWS, Azure and Google Cloud have built enormously successful businesses, cloud spending has become a growing concern for customers as usage expands and costs continue to rise. On this episode of The New Stack Makers, Summit's Byron Dill argues that many enterprises have become overly reliant on public cloud infrastructure, using it for workloads that may be better suited to private environments. Rather than treating the cloud as a one-size-fits-all solution, Dill advocates for a more segmented approach that places workloads where they make the most sense based on cost, security and management requirements. The conversation draws parallels to the rapid adoption of AI, where organizations often discover unexpected costs after implementation. Dill explores when repatriating workloads from the public cloud to private infrastructure can reduce expenses, simplify data management and improve control, while examining the costs, timelines and industries best positioned to benefit from a private cloud strategy.   Learn more from The New Stack around cloud spending:  How to Cut Cloud Waste Without Constricting Developer Productivity  AI agents need to spend money — Stripe and iWallet are building the rails  Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Anish Acharya speaks with Microsoft VP of Design John Maeda and Impeccable founder and CEO Paul Bakaus about how AI is changing the practice of design. The conversation explores the relationship between design and technology, the rise of AI-powered creative tools, and whether automation raises the floor, the ceiling, or both. Maeda and Bakaus discuss software craftsmanship, taste, creative judgment, and why some aspects of design may become increasingly automated while others become more valuable. They also examine agentic workflows, the future of user experience, the role of designers in an AI-native world, and how new tools may reshape the relationship between designers, engineers, and software itself.   Resources: Follow Anish Acharya on X: https://x.com/illscience Follow John Maeda on X: https://x.com/johnmaeda Follow Paul Bakaus on X: https://x.com/pbakaus Get the GitHub Copilot app: gh.io/app Stay Updated:Find a16z on YouTube: YouTubeFind 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.

シリコンバレーファウンダーのヘルスハックについて話しました。クレアチンの話 https://t.co/8E5FPn1M1f起業家のポスト https://x.com/denk_tweets/status/2000958854666813556睡眠とクレアチンの関係 https://x.com/newstart_2024/status/2057873475721732527NAD+ https://amzn.to/4uKnaf5NAC https://amzn.to/3SkLV45Omega3 https://amzn.to/4w3gaLv感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

Danny Yang and Sam Goldman, both Software Engineers at Meta, speak with host Gregory M. Kapfhammer about the Rust-based Pyrefly type checker for Python. After a look at the foundational concepts for annotating and checking types for Python programs, Danny and Sam present a deep dive of the implementation of Pyrefly. While comparing and contrasting against various type checkers, they also describe how Pyrefly implements the language server protocol (LSP) for Python. The episode explores a range of other topics, including how to balance the features, performance, and language integrations of a type checker.

Zipline Roundtable episode: Building Real-Time ML Systems with Zipline + ChrononJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to ZiplineAI for the collaboration!// AbstractReal-time ML use cases like personalization and risk decisioning come with a unique set of challenges: serving fresh feature values at low latency for inference, generating temporally consistent backfills for training, and building complex chains of on-demand, batch, and streaming transformations. In this roundtable, practitioners from Intuit, CreditKarma, Depop, and OpenAI share how they use Zipline and the OSS Chronon project to solve these challenges and deploy real-time ML use cases in production.// BioGerman KrikorianGerman is a Software Engineer on the Feature Platform team at Credit Karma. Since joining the company during the early development of its recommendation system, they have played a key role in building and scaling the platform over the years. Their work focuses on feature pipelines and the feature store, which serves as critical infrastructure supporting numerous teams and business verticals across the organization.Ben MagyarBen is an engineer at Depop working on ML and data systems. Before Depop, he worked on Search at Etsy. Most of his work is around the infrastructure and operational problems that come with running ML systems at scale.Raj KatakamRaj architects ML Infrastructure at Credit Karma (Intuit). He holds a Master's in Software Engineering from Carnegie Mellon and a B.Tech in EECE from IIT Kharagpur. His interests include ML Infrastructure, Distributed Systems, Real-Time Data Processing, and Generative AI. His current focus is on providing feature engineering platforms, production GenAI infrastructure, vector databases, ML model serving, and MLOps pipelines for fraud detection, personalized recommendations, financial insights, and model explainability.Mick JermsurawongLed Flyte ML training/experimentation at Stripe, and now led Chronon for ML features at OpenAIHosted by Demetrios// Related LinksWebsite: https://zipline.ai/https://chronon.ai/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with German on LinkedIn: /e2zdkwh8cxghydg/Connect with Raj on LinkedIn: /rajkiran2190Connect with Mick on LinkedIn:/mick-jermsurawong/

In this episode a regular guest joins me to give an inside view of Data Centers.  Ben, The Christian Libertarian is a Software Engineer that works at them.  He gives some very unique perspectives, facts, how they are structured and built, and how long they have been around.  Do we have to worry about them?  Are they taking over?  How can we make them partners in our environment and communities?  Seriously, we can't condemn them.  Every electronic we use is hooked up some way to a data center.  So if we don't want to stop using computers, electronics, Apps, phones, etc. we are stuck with them, so wouldn't it be better to learn more and work with them to get them to do the right things in our communities, respect our land, water, and environment.  And in the meantime, get our politicians to stop giving away the farm and get some legislation to protect us from being being over surveilled and having our data collected 24/7.

シリコンバレーで起きているAIネイティブな組織づくりについて話しました。Coinbase のレイオフ https://x.com/brian_armstrong/status/2051616759145185723Anthropicで働くことにした理由 https://henrythe9th.substack.com/p/whats-it-really-like-to-work-insideAIネイティブインタビュー https://sierra.ai/blog/the-ai-native-interview感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

WeAreDevelopers, the Berlin-based developer conference founded in 2015, has grown into a major global event, attracting 15,000 developers from over 70 countries each year. In 2026, it expands beyond Europe with new editions in San Jose, California, and Bengaluru, India. Co-founder and CEO Sead Ahmetovic says the conference was created to give developers a stronger voice in an industry where marketers, salespeople, and entrepreneurs often receive more recognition.  He believes developers, despite being less vocal, build the products that power the modern world. The event began as a small meetup that quickly gained popularity, filling a gap between highly specialized technical gatherings and broader business-focused conferences. Former GitHub CEO Thomas Dohmke highlights another benefit: giving developers a platform to share the stories behind their work and inspire peers.  Discussing the future of software development, Dohmke predicts AI agents will handle much of the coding, while developers focus on managing ideas, prompts, and workflows. Ahmetovic agrees, arguing that developers will remain essential, spending less time typing code and more time thinking, orchestrating, and creating new solutions.  Learn more from The New Stack around the latest in developer community growth:  How Community Helps Developers Grow  Empowering Developers Is Critical to Drive AI Innovation  3 Ways Organizations Can Redefine the Developer Experience  Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

"C'est important que je comprenne le code qui a été généré." Le D.E.V. de la semaine est Guillaume Lours, Software Engineer chez Docker. Avec lui, on plonge dans les coulisses de Docker Sandbox, cette solution pensée pour sécuriser l'automatisation et l'exécution de code par IA. Guillaume nous explique comment limiter les risques sans sacrifier l'efficacité, et détaille l'architecture technique : micro VM légère, man-in-the-middle pour la gestion des credentials, profils de sécurité personnalisables, le tout pour une expérience fluide. Il partage aussi des astuces d'usage au quotidien pour tester, reviewer ou itérer plus sereinement. Un éclairage concret sur le futur du développement outillé par l'IA.Chapitrages00:00:53 : Docker et Magie Noire00:01:32 : Présentation de Guillaume00:03:15 : Docker et les Générations00:04:50 : Résumé de Docker00:07:12 : Utilisation de Docker pour Tous00:08:51 : Écosystèmes et Docker00:12:43 : Complexité vs Simplicité00:17:20 : Introduction à Docker Compose00:20:23 : Fonctionnement de Docker Compose00:22:43 : Responsabilités de Compose et Engine00:28:19 : Ordonnancement et Réconciliation00:32:45 : Conteneurisation vs Virtualisation00:37:31 : Introduction à Docker Sandbox00:40:04 : Fonctionnement de Docker Sandbox00:45:58 : Usages de Docker Sandbox00:52:28 : Philosophie de Docker sur le Code00:58:44 : Recommandations et Conclusion Liens évoqués pendant l'émission YT Devoxx France Construire une application indépendante de la tech US en 2025 | Eventuallycoding2025, Europe Vs USA : la tech à l'heure des choix | EventuallycodingLe mythe de la neutralité : quand la tech devient politique

名著『ザ・ゴール』の制約理論を指針にして、AI時代のソフトウェア開発における真のボトルネックを論理的に洗い出し、コーティングv.s.レビュー速度のような表面的な制約ではなくて、人間の集中力や周辺調整、破滅的失敗の頻度上昇こそが新たな制約に移行しているのではないかという仮説と、その上で、予測不能な環境下でエンジニアが淘汰されないために不可欠となる、破滅的失敗を防ぐ強力な「ブレーキ」の構築と、時代に左右されない不変の原理について考察します。関連エピソード- 212. ハーネスエンジニアリング- 210. AI時代のコードの書き方- 205. ザ・ゴールについてソフトウェアエンジニアが熱く語る- 164. Vibe Coding は開発者の仕事を奪うか?- 106. トヨタ生産方式の教科書から学ぶSRE感想をぜひハッシュタグ #tilfm でつぶやいてください!お便りフォーム https://forms.gle/J2ioXHS98dYNoMbq5Your co-hosts:Tomoaki Imai, Noxx CTO https://x.com/tomoaki_imai bsky: https://bsky.app/profile/tomoaki-imai.bsky.socialRyoichi Kato, Software Engineer ⁠https://x.com/ryo1kato bsky: https://bsky.app/profile/ryo1kato.bsky.social

For pt 3 Chad speaks to Jesse who is a Software Engineer based in Massachusetts. Outside of work, Jesse contributes to Web Standards work, and small web projects. For the past three game jams Jesse has worked on three separate games as well as accessibility libraries and templates to enable frameworks like PICO-8 and Love2d to be screen-reader friendly. The past projects include Lunch Gambit (Games for Blind Gamers 3), and LadyBud Roll (Games for Blind Gamers 4). And this year for Games For Blind Gamers 5, Jesse created the wonderful game Toasty.Check out the amazing Toasty Game on the link belowhttps://jrjurman.itch.io/toasty

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: holmbergpodcast.com, 98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: holmbergpodcast.com, 98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.━━━━━━━━━━━━━━━━━━━━━━━━WHAT WE COVER━━━━━━━━━━━━━━━━━━━━━━━━DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNowThe clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNowServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.ANAND THARANATHAN — Research Leader, ServiceNowA framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNowHow ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNowThe daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.━━━━━━━━━━━━━━━━━━━━━━LEARN MORE━━━━━━━━━━━━━━━━━━━━━━━━ServiceNow Responsible AI: https://www.servicenow.com/responsible-aiAI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.htmlServiceNow AI: https://www.servicenow.com/artificial-intelligence━━━━━━━━━━━━━━━━━━━━━━━━ABOUT THIS PODCAST━━━━━━━━━━━━━━━━━━━━━━━━Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #PodcastSee omnystudio.com/listener for privacy information.

At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead atMotherDuck, about the company's growing role in the evolving DuckDB ecosystem. Backed by investors includingTomasz Tunguz, MotherDuck is commercializing the open-source analytical databaseDuckDBwhile also expanding how employees interact with data through AI agents rather than traditional dashboards. Döhmen emphasized the company's close collaboration withDuckDB FoundationandDuckDB Labs. Because MotherDuck operates what he described as the world's largest fleet of DuckDB databases, the startup regularly pushes the database to its limits and feeds insights back to the core maintainers. Rather than forking DuckDB to create proprietary advantages, MotherDuck instead extends the platform through its existing architecture while contributing core improvements upstream when needed. The conversation highlighted the delicate but productive relationship between venture-backed companies and the open-source projects they commercialize, positioning MotherDuck as another example of startups driving both OSS adoption and strong business growth simultaneously. Learn more from The New Stack around the latest in DuckDB: DuckDB: Query Processing Is King DuckDB: In-Process Python Analytics for Not-Quite-Big Data Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.━━━━━━━━━━━━━━━━━━━━━━━━WHAT WE COVER━━━━━━━━━━━━━━━━━━━━━━━━DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNowThe clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNowServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.ANAND THARANATHAN — Research Leader, ServiceNowA framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNowHow ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNowThe daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.━━━━━━━━━━━━━━━━━━━━━━LEARN MORE━━━━━━━━━━━━━━━━━━━━━━━━ServiceNow Responsible AI: https://www.servicenow.com/responsible-aiAI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.htmlServiceNow AI: https://www.servicenow.com/artificial-intelligence━━━━━━━━━━━━━━━━━━━━━━━━ABOUT THIS PODCAST━━━━━━━━━━━━━━━━━━━━━━━━Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #PodcastSee omnystudio.com/listener for privacy information.

05/26/26: Matt Evans is one of the endorsed Republican candidates for State Legislature running from District 25. He has served on the Walcott Township Board of Supervisors, as the finance deacon for his church, and as the chairman of the North Dakota District 25 Republican Party. He and his wife home-school their four children. Matt also had a 22 year career at Microsoft as a Software Engineer and Engineering Manager. Learn more about Matt and his campaign and views at evans4nd.com. (Joel Heitkamp is a talk show host on the Mighty 790 KFGO in Fargo-Moorhead. His award-winning program, “News & Views,” can be heard weekdays from 8 – 11 a.m. Follow Joel on X/Twitter @JoelKFGO.)See omnystudio.com/listener for privacy information.

Episode 180: rightFolds in an AI world? rightFolds as a pun on Mark's recent right vocal fold surgery, healing means we're good to record again, plus IA celebrates 17 years of existence, even if episodes have seriously lacked of late. Last episode Aug 27, 2025 - it's been a while. Does language theory and evolution have a place/need in an AI world? New JVM language features vs Syntactic sugar ala Clojure/Scala features Bun's recent zig->rust total AI rewrite Vercel engineer built Zero, a programming Language for AI Agents | Yeamt Why Did They Build This? jank now has its own custom IR Do any of these funky languages matter in an AI world? Is 'Good Enough' Good Enough: Mindsets and Behaviors for Sales Excellence Is "good enough" good enough?!. A common misunderstanding of the… | by Ted Rau Is Good Enough, Good Enough? (Part 1) AI and the increased threat of Supply Chain attacks How We Got a CISA GitHub Leak Taken Down in Under a Day NPM and its recent attacks Package Managers are Evil - gingerBill The Aesthetic Problem of Namespacing - gingerBill Tooling Highlights from Git 2.54 "Git history" FTW, unless you're using Jujitsu

Featuring: Ernest Koe, CEO of Proof Todd Geist, CTO of ProofKyle Duval, Software Engineer at ProofDescription:In this episode of the Context Podcast, join Ernest Koe, Todd Geist, and Kyle Duval in another AI conversation. This week, they discuss the “slop cannon”, and all the reasons that SaaS isn't dead. From more advanced security threats, to the skills needed to manage a complex code base, there's still plenty of reasons why engineers are needed. In the second part of the episode, they discuss the newest AI-related changes to the Ottomatic platform. OttoFMS supports MCP servers, and documentation now supports AI-assisted chat. Got a question? Just type it in, and find what you're looking for fast with doc-based querying.Featured Links:Mo Bitar's video on AIMCP Server Documentation

In this week's First $1,000 segment, we hear from an engineer who takes out his daytime frustrations on a series of side hustle balloon sculptures.Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week.Show notes: SideHustleSchool.comEmail: team@sidehustleschool.comBe on the show: SideHustleSchool.com/questionsConnect on Instagram: @193countriesVisit Chris's main site: ChrisGuillebeau.comRead A Year of Mental Health: yearofmentalhealth.comIf you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.

It's YOUR time to #EdUp with John Leech, Deputy Registrar & Director of Operations, Virginia Tech, & Zach Lamphere, Senior Manager Software Engineer, Ellucian⁠In this episode, recorded LIVE from the Ellucian Live 2026 conference in Denver, Colorado,YOUR cohost is Gretchen Fricke, Higher Education Strategic Consultant, EllucianYOUR host is Dr. Jodi BlincoListen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want access to the only intelligence platform built exclusively from presidential conversations in higher education? Join EdUp Leadership!

Matt Watson sits down with Mohan Reddy, serial entrepreneur and Chief Scientist at Cornerstone AI Labs, to explore how AI is fundamentally reshaping the way we think about work, skills, and human potential. Mohan shares the origin story of Skyhive—a workforce intelligence platform built to reskill and upskill people at a global scale—and how its acquisition by Cornerstone brought that mission to a larger stage.The conversation digs into why AI doesn't eliminate skills but transforms them, the distinction between tasks that can be automated versus those that require human judgment, and why "vibe coding" is both a breakthrough and a danger. Mohan also makes the case for reverse engineering as the most critical skill in an AI-driven world, and why sandbox environments will be essential for building trust in AI-assisted workflows.Whether you're a founder, engineer, or business leader trying to navigate the AI transition, this episode offers a grounded, optimistic perspective from someone who has spent decades at the intersection of human potential and machine intelligence.If you enjoyed today's episode, subscribe to the Starter Hustle podcast and leave us a review!⏱️ Episode Breakdown00:30 The Journey of Mohan Reddy and Skyhive03:34 Transition to Cornerstone AI Labs06:22 AI's Impact on Skills and Workforce09:33 The Evolution of Software Engineering12:29 The Future of Coding and AI Collaboration15:33 Upskilling in the Age of AI18:30 Curiosity and Learning in Tech21:34 Final Thoughts and AdviceLinks & ResourcesConnect with Mohan Reddy on LinkedInWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

After decades in IT production support, Darren didn't just retire — he escaped. At 54, the constant pings, midnight pages, and responsibility without authority finally ended, and what showed up in their place was one word he never expected: relief.In this episode of Retirement Reality, Darren shares how early retirement reshaped everything from his stress levels to his daily rhythm. He talks about the first months of decompression, learning to live without a schedule, how $6,000 a month comfortably covers their lifestyle, and why healthcare planning through the ACA was worth the effort. He also opens up about identity, hobbies, renovating the home they almost sold, and discovering he's officially “unemployable” in the best way.If you're dreaming of getting out of a high-stress job, especially in IT, this episode shows how retirement can feel less like stopping work and more like finally breathing. If it helps you picture your own next chapter, consider subscribing so you don't miss the next story.--Darren is not a client of Root Financial Partners, LLC and received no compensation for participating in this video. His statements reflect his own opinions and experience and are not indicative of any specific client's experience and are not a guarantee of results. No cash or non-cash compensation was provided, and no material conflicts are known.Advisory services are offered through Root Financial Partners, LLC, an SEC-registered investment adviser. This content is intended for informational and educational purposes only and should not be considered personalized investment, tax, or legal advice. Viewing this content does not create an advisory relationship. We do not provide tax preparation or legal services. Always consult an investment, tax or legal professional regarding your specific situation.Create Your Custom Early Retirement Strategy HereGet access to the same software I use for my clients and join the Early Retirement Academy hereAri Taublieb, CFP ®, MBA  is the Chief Growth Officer of Root Financial Partners and a Fiduciary Financial Planner specializing in helping clients retire early with confidence.