Podcasts about Software development

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with TJ Marbois, founder of Tobiko, for a wide-ranging conversation that spans LLMs, data sovereignty, knowledge management tools like Obsidian, and Terence McKenna's ideas about an increasingly weird future. They explore how AI is simultaneously centralizing power through data control while decentralizing software development capabilities, allowing more people to build their own tools and escape big tech ecosystems. Drawing on his experience at Apple's special projects group (the team that built the iPod and later iPhones), TJ discusses his vision for personal AI assistants—what he calls the "R2-D2 belongs to you" principle—where advanced technology serves individuals rather than corporations. The conversation touches on everything from quantum encryption and local manufacturing with ESP32 microcontrollers to the economics of future society, biometric data unions, and why distributed trust matters more than ever as we approach what both describe as an increasingly strange technological inflection point. Visit Tobiko's site at tobiko-pbc.ghost.ioTimestamps00:00 Stewart introduces TJ Marbois from Tobiko, discussing LLMs, data sovereignty, knowledge management, and the tension between centralization and decentralization in AI05:00 TJ explains the R2-D2 belongs to you concept and why personal AI assistants need maternal alignment, caring about humans like mothers care for children10:05 Discussion of how LLMs will shrink and improve while emphasizing the sentient loop concept for building loyal personal AI agents rather than corporate controlled systems15:00 Exploring digital nervous systems for humanity, social networks as infrastructure, and humans as cavemen with iPhones navigating unprecedented technological complexity20:00 TJ discusses data unions for sovereign data ownership, inverting insurance models where AI helps extend healthspan, and maximizing truth seeking through collective data25:30 Money as social construct, crypto enabling value system reengineering, and working toward Star Trek's post scarcity replicator economy from the ground up30:40 Capital formation challenges, corporatism versus true capitalism, and pessimism about current systems reaching limits while seeking new models35:00 Solar power democratization, ESP32 microcontrollers enabling local manufacturing, and the replicator future through distributed maker communities and open source robotics40:00 Science fiction as roadmap, Isaac Asimov and Arthur C Clarke warnings, and building collaborative futures rather than centrally controlled dystopias with useless eaters45:00 Encyclopedia to LLM transition, information quality concerns, local training importance, and NVIDIA's incentive to put GPUs everywhere for personal AI agents50:00 Corrupted financial incentives, protecting vulnerable people from technological exploitation, and benevolent technologists building systems that honor humanity and children55:00 Hardware validation for owned robots, Starlink dependencies, assembly language abstraction toward natural language programming, and preventing AI escape scenarios58:00 Tobiko as AI toy company building sentient loop interactions similar to Xerox PARC GUI moment, emphasizing maternal AI alignment and cross cultural human collaborationKey Insights1. The concept of R2D2 belonging to you represents a critical vision for the future of artificial intelligence and personal technology. When thinking about robots and AI assistants that follow us around and know everything about us, the question of ownership becomes paramount. These systems will know incredibly intimate details about our lives, from our health data to our daily habits, and if they are controlled by centralized corporations or governments rather than individuals, we lose fundamental sovereignty over our own information. The science fiction of Star Wars and Star Trek provides roadmaps for how we should think about these technologies, showing us both the positive possibilities and the warnings we need to heed about centralized control.2. Local AI models and distributed computing represent a pathway to technological sovereignty that is becoming increasingly viable. While large language models currently run primarily in centralized data centers, the technology is rapidly advancing toward a future where powerful models can run locally on personal computers and devices. This shift is crucial because it means individuals can have full control over their AI assistants without relying on API calls to external servers. Combined with open source infrastructure and open weight models, this creates the foundation for truly personal AI that cannot be controlled or monitored by external parties, whether corporations or governments.3. Data unions and collective data ownership offer an alternative model to current centralized data collection practices. Rather than having individual data harvested by large tech companies who profit from it, the concept of data unions suggests people could collectively pool their data for specific beneficial purposes while maintaining ownership and control. For example, in healthcare, millions of people could share anonymized biometric data to train medical AI systems that are incentivized to keep people healthy rather than treat them when sick, inverting the current insurance model to align incentives with actual health outcomes rather than profit from illness.4. The democratization of manufacturing and robotics through accessible technologies like ESP32 microcontrollers and local fabrication tools is creating new possibilities for distributed production. Just as desktop printers seemed impossible to early printers who controlled book production, we are approaching an era where individuals and small communities can manufacture sophisticated electronic devices and robots locally. This includes the ability to use language models to generate code for microcontrollers, order custom PCBs, and use desktop machines for component placement. While high quality manufacturing will still require larger operations, this gradiation of capability allows for much more local innovation and reduces dependence on centralized manufacturing.5. The concentration of power in technology, finance, and industry has reached levels that are unhealthy for both society and even for those who hold the power. When profit and control become too concentrated in the hands of a few entities, it creates a cancerous dynamic that threatens the stability of the entire system. History shows us warnings about the military industrial complex and other concentrated power structures, and now we are seeing similar patterns emerge in the tech industry. The solution requires building technology from the ground up that empowers individuals and communities, focusing on basics like food production, energy generation, and local manufacturing rather than increasing dependence on centralized systems.6. The provenance and quality of information is becoming a critical challenge as AI systems become more sophisticated and reality itself becomes harder to verify. We are rapidly approaching a point where video calls and digital interactions will be indistinguishable from AI generated fakes, which is why figures like Sam Altman have invested in systems like Worldcoin to verify human identity. However, this verification capability should not be centralized in the hands of single companies. End to end encryption and quantum encryption technologies need to be preserved and expanded to allow humans to communicate and verify information peer to peer without centralized intermediaries who could manipulate or control the flow of information.7. The future of human computer interaction is evolving toward sentient loop systems where machines have sensory input, real time learning, context understanding, and continuous operation in service of human needs. Self driving cars represent the first widespread consumer facing example of this architecture, with onboard computers that must function independently while occasionally connecting to networks. The critical question is whether these systems will be aligned to benefit their human users like a caring mother as AI pioneer Geoffrey Hinton suggests, or whether they will be controlled by centralized powers. The technologists building these systems have a responsibility to be benevolent and build structures that serve humanity rather than concentrate power, helping to create a future more like Star Trek than Terminator.

Welcome to episode #1049 of Thinking With Mitch Joel (formerly Six Pixels of Separation). Farid Mheir has spent four decades at the intersection of engineering, business strategy, and digital transformation. Trained as a microelectronics engineer, he helped pioneer online grocery commerce with IGA in the mid-1990s before building e-commerce platforms for major retailers across North America and Europe. Today, through his advisory firm, and as a faculty member at the McGill Executive Institute, Farid advises executives on AI strategy and organizational transformation. His new book, AI Mindsets - A Guide to Succeed in an AI-Driven World, distills decades of experience into thirty-one practical mindsets designed to help leaders move beyond AI hype and build organizations prepared for an era of intelligence abundance. In this episode, Farid explains why AI represents a shift as significant as the arrival of the internet, arguing that while the web democratized access to information, AI is making intelligence itself widely accessible. We explore what remains uniquely human in a world of increasingly capable machines, why wisdom, judgment, and experience become more valuable as intelligence becomes abundant, and how organizations must undergo a cultural, not just technological, transformation to realize AI's potential. Farid also discusses prompt engineering, answer engineering, AI agents, software development, and why the greatest opportunity lies not in replacing people but in moving them upstream toward more creative and strategic work. Throughout the conversation, he makes the case that success in the AI era will depend less on mastering new tools than on adopting new ways of thinking about work, leadership, and the future itself. Enjoy the conversation... Running time: 1:07:20. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Farid Mheir. FMCS.Digital. AI Mindsets - A Guide to Succeed in an AI-Driven World. Follow Farid on X. Follow Farid on LinkedIn. Chapters: (00:00) - Introduction to AI Mindset and Intelligence. (03:05) - The Evolution of Knowledge and Intelligence. (05:57) - AI as a Human-like Tool. (09:04) - The Scarcity of Wisdom in an AI World. (11:54) - The Future of Work and Job Titles. (15:01) - Prompt Engineering vs. Answer Engineering. (17:59) - The Role of Experience in AI Utilization. (20:57) - The Generational Shift in AI Interaction. (24:10) - The Importance of Critical Thinking in AI Usage. (37:20) - The Cultural Shift in AI Utilization. (40:45) - Human Connection in a Tech-Driven World. (46:28) - The Evolution of AI and Organizational Mindset. (55:40) - The Future of Work: AI's Role in Knowledge Industries. (01:01:10) - The Transformation of Software Development with AI.

Today our hosts are joined by Isaac Nelson to talk about the development of Beam Splitter. Isaac is the other half of OBNE's R&D department, and an actor of some renown, recognizable for characters such as Old Ike and whatever we call the corporate guy who drinks the Sunlight tincture. Isaac gives nod to his object (a blue strat) and describes himself as not a particularly curious gear guy, while also giving insight into the inspiration behind his triple tracking multi-distortion mono stereo trereo embiggening behemoth, Beam Splitter. Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @danfromdsf, @andyothling, @oldbloodnoise Leave us a voicemail at 505-633-4647!

Robin and Mazen talk with Mike Ryan of CopilotKit about bringing AI agents to React Native apps. They break down AG-UI, generative UI, shared state, and the guardrails developers need to build useful, trustworthy mobile experiences.   Show Notes CopilotKit: Bring Users and AI Agents together inside real apps   Connect With Us! Mike Ryan: @MikeRyanDev Robin Heinze: @robinheinze Mazen Chami: @mazenchami React Native Radio: @ReactNativeRdio   Sponsored by Infinite Red Infinite Red is a premier mobile app consultancy, especially focused on Expo and React Native, located fully remote in the US. We're a team of 30 with highly experienced mobile app developers and have been doing this for over a decade. We are also one of the first development teams to adopt agentic coding in a way that keeps high quality standards and aren't afraid to do things the old school way if we need to. If you're looking for mobile app or React Native or Expo expertise for your next project, hit us up at infinite.red/radio.

What's your gold standard for deciding whether AI-written code is ready for production? In Episode 42 of Talking Postgres, Simon Willison—creator of Datasette, co-creator of Django, and prolific open-source developer—joins Claire to share how AI is changing the way he builds software today. We dig into why his test for shipping AI-generated code is “Could I explain this to somebody else?”, how engineering management skills can be surprisingly useful when managing AI agents, and how the bottleneck is no longer writing code but understanding it. Also: personal credibility, deep research, the Winchester Mystery House, slop proxies, and Simon's observation that “Features are cheap. That doesn't mean you should build them all.”Previously on Talking Postgres:Talking Postgres podcast Ep 30: AI for data engineers with Simon Willison Links mentioned in this episode:Blog: Simon Willison's BlogProject page: Datasette, for finding stories in dataGitHub repo: sqlite-utilsBlog post: Release of alchemy-utils 0.1a0 (featuring Postgres & DuckDB)Blog post: There are no lossless transformations of natural-language text, by Sophie AlpertPodcast episode: The Open Weight Revolution with Simon Willison, on Oxide and FriendsPodcast episode: An AI state of the union, on Lenny's Podcast Wikipedia: Winchester Mystery HouseIdea in Mythical Man-Month: Conceptual integrityBlog post: SQLite compressed text-history prototypes, by Simon WillisonTools: Simon's miscellaneous tools repoIn this episode, we covered:00:00 Intro & music04:00 A week of work before breakfast09:12 Red-green TDD makes agents exercise every line14:42 A million lines mean nothing if you don't understand it18:28 Finding low-hanging fruit among open PRs & issues22:07 Getting work done while walking the dog23:01 Gold standard: “Could I explain this to somebody else?”28:27 Slop proxies add no value at all30:49 Aggressive nitpicking reviews35:01 Everything in software engineering is about trade-offs41:16 Racoon heist game is only fun for 1 minute 15 seconds43:46 New Year's resolution to be more ambitious48:11 You have to learn to throw things away51:57 Features are cheap. That doesn't mean you should build them all1:00:45 Engineering management skills are so useful1:04:44 QA specialists should be having a great time1:07:53 Writing is thinking, don't outsource it1:08:23 Skill atrophy is a choice you make1:10:07 I believe in people who are motivated1:11:55 Systems are not set up to deal with this volume1:18:48 Research agents stopped being absolute garbage1:21:49 The whole point of the “human in the loop”1:26:10 Dream: I want there to be more small businesses

What does an AI-native CI look like? The Semaphore team joins me to talk about their focus on making your agent harness the gateway to testing, fixing, and deploying your code.Video podcast version here: https://youtu.be/HzXAdtVrW70★Show Links★Semaphore https://semaphore.io/Semaphore open source https://github.com/semaphoreio/semaphoreSLSA Security Checklist https://slsa.dev/Creators & Guests Marcos Filipe - Guest Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Marko Gaćeša - Guest (00:00) - Introduction (00:29) - AI Native CI Vision (04:54) - Bret's Update (09:03) - Semaphore AI Journey (22:39) - Open Source Platform Shift (37:28) - Plugins CLI MCP Skills (43:11) - Work Until CI Is Green (45:42) - Test Boxes and Agentic CI Loop (57:39) - Sandboxing and Least Privilege (01:10:12) - Roadmap SLSA and Getting Started

Sponsored by Blocks: Save at least 20% on your AWS costs with AI-powered optimization and enterprise discounts. Get your free Cloud Check at https://blocks.cloud/alphalist?utm_source=alphalist&utm_medium=podcast&utm_campaign=blocks-podcast-2026 Dana Lawson's path into tech started with backup tapes, not a keyboard-in-the-womb origin story. She joined the US Army in the late '90s, automated her way out of manual password resets, and went on to become VP of Product Engineering at GitHub before taking the CTO seat at Netlify. She joins Tobi to make the case that "writing code is no longer the job", an argument from her own New Stack article that lit up Hacker News, and one she doesn't back away from here. The conversation explores why trust in AI agents may eventually become automatic, the same way our trust in cars we can't repair ourselves already has. Dana explains why Netlify is designing for "agent experience" alongside developer experience, and why the engineer's role is shifting from writing every line of code to defining architecture, guardrails, reliability, and safe user experiences. CTOs will walk away with a sharper way to think about where human judgment still matters versus where it's already been commoditized, including the tension between speed and control, whether developers risk becoming the bottleneck, and why the real constraint may be moving from "can we build it?" to "does anyone actually want it?" What's covered: - Dana's path from the US Army to VP of Engineering at GitHub to CTO of Netlify - Why she argues "writing code is no longer the job" and the Hacker News backlash - The self-driving car analogy for trusting AI agents - What "agent experience" means and why Netlify designed for it - Craftsmanship, control, and the shift from writing code to defining guardrails - Whether developers risk becoming the bottleneck in the agentic era - Why the constraint is moving from "can we build it" to "does anyone want it"

Plus: European vibe-coding startup Lovable notches $13 billion valuation. And rust-powered battery maker Form Energy raises $750 million to boost manufacturing. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Re-release - Prepare to be captivated by the extraordinary journey of Mark Bradley, founder of LMN. In part one of this two-part episode, Dwayne Kerrigan delves into Mark's transformation from the nuclear industry to super successful landscape entrepreneur, and finally, to tech innovator with his software company.Discover the key principles driving Mark's unparalleled success, including a focus on quality customers and employees, a clear mission and goals, and efficient operations. Mark shares his unconventional strategy of paying top-dollar salaries to his team, revolutionizing the industry and contributing to his remarkable achievements. This conversation showcases Mark's commitment to integrity, fair business practices, and industry improvement.Mark Bradley co-founded LMN in 2009 based on his company's need for landscape software that simply didn't exist. Now the industry's best business management software, he credits LMN as a catalyst for helping him scale TBG Landscape from backyard business into one of the Top 100 landscape contractors in North America. Since his first lawn care customer in 1999, Mark has been passionate about educating the industry on best practices for building better businesses.Now a sought-after speaker and business coach, he regularly shares his insight at events including GIE+Expo, Snow and Ice Management Association (SIMA), the National Association of Landscape Professionals (NALP) and Landscape Ontario Horticultural Trades Association, to name a few. Having recently completed the transition from landscape business owner to tech entrepreneur, Mark is committed to transforming talented landscape professionals into better business owners through industry-leading software and learning opportunities.Time Stamps:[00:00] Introduction[00:35] Mark Bradley: TBG Landscaping Journey[01:38] Starting a Business: Mark's Story[07:34] Acquiring First Customers: Strategies[13:17] Business Evolution: Landscaping Today[14:03] Replicating Business Success: Insights[18:41] Targeting Ideal Customers[23:59] Maximizing Revenue Per Hour[27:15[ Mindset: Abundance vs Scarcity[29:33] Financial Management: Budgeting Tips[32:55] Crafting a Solid Business Plan[37:00] Preserving Company Culture During Growth[42:10] Leadership's Role in Business Success[46:06] Setting Strategic Business Goals[47:53] Implementing Goals Across Your Team[51:39] Earning Based on Results: A Business Philosophy[54:54] Transition from Landscaping to Software Development[57:20] Emphasizing the Role of Education in Business[1:00:18] Entering the Software Industry: A New Venture[1:06:48] Mindset Shifts for Software Business Success[1:07:27] Announcement: 2 Part Podcast Series[1:07:54] Future Podcast Topics Discussion[1:09:00] Finding Industry Mentors[1:10:33] Youthful Entrepreneurship: Learning the Ropes[1:12:12] Tailoring Advice to Fit Your Business[1:13:55] Closing Remarks and Contact InformationConnect with Dwayne KerriganFacebookInstagramLinked InWebsiteDisclaimer: The views, information, or opinions expressed by guests during The Dwayne Kerrigan Podcast are solely those of the individuals involved and do not necessarily represent those of Dwayne Kerrigan and his affiliates. Dwayne Kerrigan or The Dwayne Kerrigan Podcast is not responsible for and does not verify the accuracy of any of the information contained in the podcast series. The primary purpose of this podcast is to educate and inform. Listeners are advised to consult with a qualified professional or specialist before making any decisions based on the content of this podcast.

Wasim Osman: How Agile Teams Can Start Adopting AI in Software Development Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "It's like my own software has a voice now. It's telling me—okay, you're going to build me like this? Have you considered this?" - Wasim Osman   Wasim's biggest current challenge is one nearly every team shares: how AI is reshaping software development. He sees a clear split—developers rapidly adopting AI-driven development, and others "not downright rejecting it, but still taking their time." His warning is blunt: even when AI hallucinates and generates garbage code, it lets you deliver an order of magnitude faster, and the quality is only going to improve. The early adopters are heading somewhere the late adopters won't be able to reach. In practice, the resistance shows up as questions no one can answer: if I used to get every requirement nailed down before writing code by hand, what do I do with AI—just ask it for a one-liner and hope? Leadership often can't help, because they lack AI experience themselves. At Orkestra SCS, the head of engineering did holistic research into how companies (like AWS, with its AI-Driven Development Lifecycle) are reshaping the process, documented it, and shared it with every team. Feedback sessions and hands-on experiments followed, until they built a tailored version that fit how they actually work. The mindset shift that unlocked it: treat AI as a partner. Wasim describes his software "having a voice"—asking him questions he'd never think of, the way a pair-programming partner would, so the team explores the solution space instead of guessing at it.   Self-reflection Question: Is your team treating AI as a threat to write around, or as a pair-programming partner that surfaces the blind spots you'd never find alone?   [The Scrum Master Toolbox Podcast Recommends]

Today, we're joined by Alex Yakubovich, co-founder and CEO of Levelpath, the AI-native procurement platform transforming how global enterprises manage indirect spend. We talk about:If software apps must become autonomous to be successful in the futureUsing AI to help build softwareDoes SaaS have a future, or strictly AI as a service?Why the question, “Is SaaS dead” is mootHow some SaaS pricing models can feel icky

Go 1.26.6 & 1.25.13 pre-release announcementGo SF Meetup, Aug 26GopherCon Israel CFP extended through Aug 15Discussion: A more robust proposal processInterview with Kemal AkkoyunEpisode 44: Interview with Jon BodnerDatadog APMchecklocks ★ Support this podcast on Patreon ★

Today our hosts discuss two solo sets. Andy recently returned from Post Fest, where he played his first solo set in several years. He talks about how it went, the one technical difficulty he ran into, and the overall setup to create a visually and aurally compelling experience. Then Dan talks about prepping for his first solo set in a couple years, and the line between exploratory instrumental improvisation and simply singing the songs he's written. Then, some voice mails allow them to both give and take advice. If you don't feel like listening, just remember this: it's ok. The show will go on. You're doing great! Listen to the episode of Stompboxing referenced by Dan: https://youtu.be/-aWzA0b_hdM?si=I9aAg8Ej69IWdWYM Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @danfromdsf, @andyothling, @oldbloodnoise Leave us a voicemail at 505-633-4647!

Robin Heinze and Tyler Williams break down React Native's AppRegistry! From Expo and app entry points to brownfield apps and more, see what's happening under the hood and build mobile apps with even more confidence after this exciting episode.   Connect With Us! Robin Heinze: @robinheinze Tyler Williams: @coolsoftware.dev (Bsky) React Native Radio: @ReactNativeRdio   This episode is brought to you by Infinite Red! Infinite Red is a premier mobile app consultancy, especially focused on Expo and React Native, located fully remote in the US. We're a team of 30 with highly experienced mobile app developers and have been doing this for over a decade. We are also one of the first development teams to adopt agentic coding in a way that keeps high quality standards and aren't afraid to do things the old school way if we need to. If you're looking for mobile app or React Native or Expo expertise for your next project, hit us up at infinite.red/radio.

In this episode of Teaching Python, Kelly and Julian welcome IBM Distinguished Engineer Jeff Crume to talk about teaching hard things simply. The conversation begins with Jeff's short, visually driven videos and the studio setup behind them, including the lightboard format, the editing process, and the amount of planning needed to turn a 15-minute explanation into something clear and usable. They then turn to the challenge of explaining complex ideas in a way that fits the audience. Jeff describes how he chooses topics from his work with clients, why he thinks teaching deepens his own understanding, and how he adapts for YouTube, classrooms, and conference talks. He emphasizes brevity, structure, and using visuals so viewers are not faced with a talking head and a blank background. A major part of the discussion focuses on AI, the humanities, and education. Jeff explains why he believes the humanities are essential for understanding meaning, purpose, truth, and context, and why those questions matter when using AI. He argues that AI should be treated as a tool to augment learning rather than something to exclude from classrooms. The conversation also covers cybersecurity and practical AI risks. Jeff discusses passwords versus passkeys, phishing, public chatbots, data privacy, cloud services, and the security concerns around agents and connected tools. He argues for private instances, stronger security practices, and doing security earlier in the process. Near the end, Jeff highlights communication, curiosity, and critical thinking as key skills for students. He also points listeners to IBM SkillsBuild and Coursera for training, and closes by encouraging lifelong learning in a fast-changing field.Special Guest: Jeff Crume.

Jason Gorman, a software development expert and founder of Codemanship, joins host Giovanni Asproni to explore how best to use AI in software development. They start by considering how established technical practices — test-driven development, modularization, continuous integration, and continuous reviews — become more important, not less, when working with AI assistance. These practices help address several key limitations of LLMs, including keeping context windows as small as possible. Looking at AI's impact on team productivity, Jason offers some practical advice for teams to introduce AI tools into their workflows. The episode also explores spec-driven development, agentic programming, and the importance of writing readable, understandable code — even when it's AI-generated. Finally, Jason and Giovanni look at emerging research into the cognitive downsides of over-reliance on AI, and what developers can do about it.

oapi-codegen v2.8.0 released with OpenAPI 3.1 support

Today our hosts chat with Zak Sherman of The Audio Cultivation Project. They talk about his entrance into pedal building coming at an early stage in his musical development, and how that leads to designs that come from an unexpected place. They also talk about the upcoming Midwest Pedal Fest, and why he and Alec Breslow chose to host it in Detroit. And of course, they talk about his chosen object: a particularly modded Telecaster that speaks to who he is as a player and pedal designer. They try to tackle the important questions, like what is a Telecaster, what is the midwest, and who in this room is a poser? Check out The Audio Cultivation Project: https://audiocultivationproject.bigcartel.com/ Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @danfromdsf, @andyothling, @oldbloodnoise, @audiocultivationproject Subscribe to OBNE on Twitch: https://www.twitch.tv/oldbloodnoise Leave us a voicemail at 505-633-4647!

"Back in the 1900s when I was crossing the Great Plains in a covered wagon, programming in the back, the cover headline was: Software Development is Dead."I talked with Anthony Jackson, a CTO with 30 years across healthcare tech and enterprise software and author of the Architecture Protocol series, on Startup Hustle this week. Anthony is the creator of LeadershipOS, a framework for building teams that keep running when the leader isn't in the room.Here's what you'll get out of it:⚡ Why "software development is dead" has been a headline for 30+ years, and why the human judgment layer never goes away⚡ Why the real gap isn't more engineers, it's product people (and engineers who think like them)⚡ What actually changes when you go from individual contributor to manager, and why almost no company trains you for it⚡ Why every line of code still needs a name attached to it, especially in regulated industries⚡ How "lossy compression" quietly ruins decisions as they filter up and back down through management⏱️ Episode Breakdown00:32 Introduction and Anthony Jackson's background02:13 Is software development dead again?03:14 The impact of AI on coding and human judgment04:07 The importance of responsibility in software development05:59 The challenge of product management and customer feedback10:18 Transitioning from individual contributor to manager11:36 Building effective teams and leadership culture14:41 Anthony Jackson's leadership OS book and approach18:26 The significance of company and team culture21:07 The impact of good and bad managers21:38 Anthony Jackson's newsletter and coaching23:14 Connecting software developers with customers25:06 Empathy for users and understanding their experience28:18 Where to find Anthony Jackson's resources and booksLinks & ResourcesConnect with Anthony Jackson on LinkedInAnthony Jackson's Website - https://technicaleader.coachWhat 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.

Scrub Design, WebZFS Updates, The Foundations role in the FreeBSD Ecosystem, and more... NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines If Scrubs Hurt, Your ZFS Design Is Broken WebZFS Updates Beta Announcement Why wont my pool export zfs iostat - Pictures so you can get a better idea of how it works News Roundup Understanding the Foundation Board's Role in the FreeBSD Ecosystem Monitor your devices with LibreNMS on FreeBSD Diskless Workstations Two Models Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Davi - BSDCan 2026 Follow up Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

In this episode, Conor and Jaeden explore the latest advancements in AI benchmarks, focusing on Mirror Code and its implications for software development and automation. They discuss how AI is increasingly capable of recreating complex software, solving friction points, and transforming productivity.Watch on YouTube: https://youtu.be/RqPuvAPN2LcGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Introduction to the New AI Benchmark: Mirror Code00:30 The Context: AI Watching and Learning from Human Actions00:57 Mirror Code's Emergence and Its Significance02:12 Claude Opus 4.7 Rebuilding Apple Software in 14 Hours03:12 What is the Mirror Code Benchmark? Testing AI's Rebuilding Capabilities03:41 Results: 17 of 25 Programs Recreated Perfectly04:10 Implications of AI Recreating Complex Software04:39 OpenAI GPT 5.5 and Opus 4.7 Reimplementing Software05:10 The Significance of Speed and Cost in AI Rebuilding Tasks05:39 Personal Use Cases: Building and Rebuilding Software with AI06:06 AI's Impact on Software Development and Productivity07:13 Conor's Journey into AI Agents and Coding07:41 The Role of Articulating Friction Points in AI Solutions09:01 Fixing Friction Points in Software Using AI09:30 Case Study: Rebuilding a Booking Engine with Claude10:26 Rebuilding Software and Features Faster with AI11:25 The Power of AI in Solving Real-World Problems12:00 AI as a Tool for Solving Friction Points in Business12:26 Introducing AI Box: Affordable Access to AI Models12:48 The Value of Solving Problems with AI13:12 Encouragement to Explore AI Solutions and Friction Points See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Adarsh Pandit (founder of Cylinder Digital, ex-Thoughtbot, ex-McKinsey) met Àlex 12 years ago in San Francisco when MarsBased was just getting off the ground. They catch up on a decade of building software agencies, navigating career shifts, and managing team dynamics.Adarsh shares the story behind firing a high-profile client who was verbally abusing his team, the panic of dropping a production database on Heroku, and how applying systems thinking changes how you look at code, sales, and business operations. They also touch on how AI and vibe coding are reshaping agency pricing, the return of fixed-bid contracts, and why human trust remains the most critical asset in tech.Support the show

Is vibe coding quietly draining the thing that makes teams effective: their shared understanding? Margaret breaks down her new “triple debt” model, and why cognitive debt might be the one nobody's tracking.In this episode, Margaret-Anne Storey, co-author of the SPACE framework and a leading developer experience researcher, returns three years after her first appearance to unpack her new “triple debt” model. She explains how technical debt is now joined by cognitive debt, the erosion of shared understanding across a team, and intent debt, the loss of the “why” behind decisions that agents also lack.Drawing on her Startup Studio course, where student teams built MVPs in minutes only to lose track of their own architecture weeks later, she walks through what pushed her to name these problems. The conversation covers cognitive surrender, developer fatigue from managing swarms of agents, and the warning signs leaders should watch for on their teams.Margaret also introduces Cognitive Tours, a tool inspired by sailing waypoints and log books, and the idea of strategic friction: deliberately slowing down to preserve understanding. She closes by revisiting the SPACE framework and why its five dimensions still hold up even as AI changes every question we ask about them.Key topics discussed:Why cognitive debt has always existed, just never namedThe triple debt model: technical, cognitive, and intentCognitive surrender: accepting AI output without understandingWarning signs leaders should watch for on their teamsWhy the SPACE framework still holds up in the AI eraTimestamps:(00:00:00) Trailer & Intro(00:02:42) How Has AI Transformed Software Development Over the Past Three Years?(00:05:14) What Inspired the Research on Cognitive Debt and AI-Assisted Development?(00:11:28) Why Is Cognitive Debt Accelerating Even Though It Isn't a New Problem?(00:14:24) What Exactly Is the Triple Debt Model in Software Development?(00:17:36) How Does Intent Debt Relate to Context Engineering and Intent Drift?(00:21:57) Can AI Be Used to Solve the Cognitive Debt It Created?(00:26:55) Why Does Using AI Make Developers Feel Fatigued and Stressed?(00:31:33) How Are AI Agents Affecting Human Relationships in the Workplace?(00:34:37) What Exactly Is Cognitive Surrender and What Are Its Risks?(00:39:38) How Can Leaders Spot Growing Cognitive and Intent Debt Within Their Teams?(00:41:02) Why Is ‘Tokenmaxxing' a Dangerous Productivity Metric?(00:42:49) What Is the Cognitive Tours Tool and How Does It Address Cognitive and Intent Debt?(00:48:19) How Do You Envision the Daily Workflow of Using This New Tool?(00:50:16) What Is Strategic Friction and How Can It Help Developers?(00:55:10) What Is the Danger of Relying More on AI Agents and Less on Humans?(00:58:26) Does the SPACE Framework Still Hold Up in the Age of AI?(01:04:22) 3 Tech Lead Wisdom_____Margaret-Anne Storey's BioMargaret-Anne Storey is a professor of computer science at the University of Victoria and a Canada research chair in human and social aspects of software engineering. She is coauthor of the SPACE framework and a leading researcher in developer experience (DevEx). Her research focuses on how developers and teams understand complex software systems and how tools, AI, and collaborative practices shape that understanding. Her recent work examines how generative AI is transforming software engineering by changing how understanding is created, shared, and maintained. She collaborates with industry partners including Microsoft and DX. She holds an honorary doctorate from Lund University.Follow Margaret:LinkedIn – linkedin.com/in/margaret-anne-storey-8419462/Website – margaretstorey.com The Triple Debt Model: From Technical Debt to Cognitive and Intent Debt – queue.acm.org/detail.cfm?id=3807966Like this episode?Show notes & transcript: techleadjournal.dev/episodes/264.Follow @techleadjournal on LinkedIn and Instagram.Buy me a coffee or become a patron.

ProposalsAccepted: testing: allow examples with any signatureAccepted: maps: add Identical funcAccepted: sync/atomic: add Max/Min operatorsNo proposal (!?): add algebraic enum typesLightning roundGoLand 2026.2 Is Now AvailableG#Interview with Peter DownsGitHubpgtestdbpgmigratePersonal web siteTwitterCloudXPocketBase ★ Support this podcast on Patreon ★

Robin Heinze and Tyler Williams of Infinite Red unravel Fabric, React Native's modern rendering system. No sewing required! They explain how Fabric speeds up mobile apps and unlocks concurrent React features for smoother software engineering. Connect With Us! Robin Heinze: @robinheinze Tayler Williams: @coolsoftwaredev React Native Radio: @ReactNativeRdio   This episode is brought to you by Infinite Red Infinite Red is a premier mobile app consultancy, especially focused on Expo and React Native, located fully remote in the US. We're a team of 30 with highly experienced mobile app developers and have been doing this for over a decade. We are also one of the first development teams to adopt agentic coding in a way that keeps high quality standards and aren't afraid to do things the old school way if we need to. If you're looking for mobile app or React Native or Expo expertise for your next project, hit us up at infinite.red/radio.

In the final episode of Season 15, Charles Suggs and Emma Whamond are joined by James Gray, co-author of Designing Elixir Systems with OTP, to talk about what has changed in software development and what still holds true. Years after the book's release, many of its core ideas around architecture, boundaries, supervision, and system design remain deeply relevant, even as AI tools reshape how developers learn, build, and collaborate. James brings a unique perspective to the conversation: he is an experienced Elixir and OTP educator who only recently began using LLMs in his own workflow. He shares what surprised him, where the tools have been useful, where they have created risk, and what happened when Claude accidentally wiped his local development database. The conversation explores how AI can speed up parts of the work while making foundational knowledge, code review, testing, and clear system boundaries even more important. To close the season, James and the hosts reflect on what developers should hold onto as the stack continues to shift. They discuss responsible LLM usage, the changing role of pair programming, who owns the mental model when AI helps write code, and why Elixir's long-standing strengths may matter even more in an AI-assisted development world. James is scheduled to speak at ElixirConf 2026, September 10–11 in Chicago, and the Elixir Wizards will be there too! Join us and the broader Elixir community, and use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Key topics discussed in this episode: James Gray's work on Designing Elixir Systems with OTP What still holds true in Elixir system design Layered architecture and durable software fundamentals Functional core, imperative shell in modern applications Supervision trees as application lifecycle maps Why boundaries still matter in AI-assisted development What AI changes about learning and building software What AI does not change about software design James' first month using LLMs When Claude erased a local development database Trust, verification, and responsible LLM usage The risk of AI-generated boundary violations Pair programming, mental models, and developer judgment Ethical and legal questions around AI tools Why OTP concepts still matter in distributed systems How Elixir thinking applies to AI agent workflows What developers should preserve as the stack shifts James' upcoming ElixirConf talk Links mentioned: Java Programming Language https://www.java.com/en/ Perl Programming Language https://www.perl.org/ Ruby Programming Language https://www.ruby-lang.org/en/ Best of Ruby Quiz by James Gray https://www.google.com/books/edition/Best_of_Ruby_Quiz/bMggAQAAIAAJ Designing Elixir Systems with OTP https://pragprog.com/titles/jgotp/designing-elixir-systems-with-otp/ RubyConf talk: Boundaries by Gary Bernhardt https://youtu.be/yTkzNHF6rMs Book: Real-World Event Sourcing by Kevin Hoffman https://pragprog.com/titles/khpes/real-world-event-sourcing/ Broadway Library https://elixir-broadway.org/ Supervision Trees https://elixir.hexdocs.pm/supervisor-and-application.html PostgreSQL https://www.postgresql.org/ ClickHouse https://clickhouse.com/ GenServer https://elixir.hexdocs.pm/GenServer.html Programming as Theory Building by Peter Naur https://pages.cs.wisc.edu/~remzi/Naur.pdf “A computer can never be held accountable, therefore a computer must never make a management decision.” – IBM Training Manual, 1979 Oban https://oban.pro/ Anthropic Claude Fable https://www.anthropic.com/claude/fable Claude Design https://claude.com/product/design Tidewave Agentic Dev Environment for Phoenix and Rails https://tidewave.ai/ 2x – nine months later: We did it https://ideas.fin.ai/p/2x-nine-months-later James Gray's Blog https://programmersstone.blog/about/ ElixirConf https://elixirconf.com/ ExMex https://exmexconf.com/Special Guest: James Gray.

"I need to stop using Opus. This doesn't work." That was Heitor Lessa's conclusion after a refactor cost him 200 million tokens, and it forced him to rebuild the entire agent workflow now available for 1400 engineers. Heitor spent 11 years at AWS, built Lambda Powertools to 230 billion API calls a week, and in this episode he walks through the full SDLC workflow on screen, from discovery to merge check.In this episode, we cover:The product loop: discovery, whiteboarding, and the /roadmap commandSpec-driven development with Open Spec and why vanilla setups failThree model tiers: SOTA for planning, mid-tier for implementation, cheap models for reviewsMerge checks with adversarial reviewers and attestations that catch agents fabricating test resultsThe /retro command: using the Socratic method to make your workflow more deterministicIf you're an engineer figuring out how to work with agents at team scale without losing trust in your codebase, this is the workflow to steal. This is also the first Beyond Coding episode with visuals on screen, so let me know what you think of the format.Timestamps:00:00:00 - The Math Doesn't Add Up00:00:43 - Amazon Hypergrowth: 11 Years, 8 Different Roles00:03:29 - Learning From the Trenches as a Technical Account Manager00:08:38 - Developer Identity and the Birth of Lambda Powertools00:10:20 - The Hard Parts of Working in Public00:13:12 - How Powertools Hit 230 Billion API Calls a Week00:16:42 - Career Advice: Learn Adjacent Roles, Not More Tech00:19:37 - When Leadership Decisions Don't Make Sense to You00:23:21 - The Product Loop Starts With Discovery00:25:22 - From Whiteboard to /roadmap00:27:37 - Why Humans Plan First and Agents Come Second00:30:33 - Commands vs Skills Across 32 Different Models00:33:38 - Adversarial Reviewers on Every Plan00:36:07 - The Socratic Method, Explained00:40:29 - Why He Only Takes Paper Notes00:44:43 - The Five-Line Paper Trick for High-Stakes Meetings00:48:18 - /new-work: Capturing Scope Creep Without Derailing00:54:03 - The Dev Loop Begins: Open Spec Explore00:56:34 - Three Model Tiers: SOTA, Mid, Cheap00:57:43 - The $5,000/Month Per Engineer Question00:58:57 - Guardrails vs Autonomy for 1,400 Engineers01:04:22 - Auto-Sizer: Does This Task Even Need a Spec?01:07:26 - Decision Fatigue and Why Frameworks Win01:09:10 - The Plan Phase: Specs, Design, Formal Verification01:13:07 - The Refactor That Cost 200 Million Tokens01:15:11 - When Agents Forge Evidence They Ran Your Tests01:17:27 - Local-First Architecture Explained01:23:04 - The Apply Phase: Fully Autonomous Loops01:24:30 - Coding Was Never the Bottleneck01:26:39 - Why This Workflow Is an Investment01:27:39 - Decision Logs and the /onboarding Command01:29:06 - Running Agents Locally With Enterprise Governance01:32:42 - Hooks: Making Quality Gates Deterministic01:36:02 - Merge Checks: 15 Adversarial Reviewers Per Change01:38:30 - /retro: Interviewing Yourself to Improve the Loop01:43:12 - Trust, Loss of Trust, and Recovery With Agents01:48:02 - Experience, Scars, and Critical Thinking01:49:32 - Why Right Now Is the Time to Experiment01:52:04 - Conviction Comes From Being in the Loop#softwareengineering #aiagents #aws

As artificial intelligence continues to reshape government technology, National Endowment for the Arts CIO and Chief AI Officer Jim Tunnessen said the technology has significant potential to accelerate modernization, streamline software development and improve operational efficiency. Tunnessen pointed to AI-assisted development as a fundamental shift in how agencies build applications, enabling smaller teams to deliver capabilities faster than through traditional development methods. He said agencies must balance those gains with strong governance, transparency and cybersecurity guardrails. At the NEA, Tunnessen views AI as a tool for enhancing back-office operations while ensuring human judgment remains central to evaluating artistic work.

Hello, Voices of the Bench community. This is Casey Baldwin with Ivoclar. If you've been curious about fast-firing zirconia to improve efficiency but aren't convinced it can deliver predictable, high-quality results, I'd encourage you to connect with us. Our new IPS emax Zirconia, offers multiple fast-fire protocols designed to help you save valuable production time while maintaining consistent outcomes. Time is money in every lab. Don't wait. Reach out today and discover how IPS emax Zirconia can help streamline your workflow. As full-arch dentistry continues to grow, so do the demands on today's dental laboratories. That's why Knight Dental recently launched SimplyARCH Studio, a dedicated production environment built exclusively for full-arch restorations. To support this specialized workflow, Knight invested in an XTCERA milling system and carefully evaluated multiple CAM software solutions before choosing hyperDENT. The decision came down to exceptional milling quality, minimal hand finishing, and impressive production efficiency. But what truly set hyperDENT apart was the implementation process. From the very beginning, the team provided more than software training—they shared the knowledge and experience needed to build an optimized workflow for complex full-arch cases. With proven expertise in advanced milling strategies and laboratory production, hyperDENT helped ensure SimplyARCH Studio was designed for long-term success from day one. This week, Elvis and Barb are coming to you from the FDLA Symposium at the GPS Digital RPD booth with two conversations that prove one thing: dental technology never stops evolving. First up, Chris Bradley from SmileLine USA returns to the podcast alongside technician, educator, and lab owner Richard Wodzinski, with Dawn Roniger from GC America joining the discussion. What starts as a conversation about "sexy brushes" quickly turns into a deep dive into one of the most intriguing shade-matching workflows you'll hear about. Richard explains how the OptiShade camera and Matisse software work together to create incredibly accurate shade recipes for everything from monolithic zirconia to layered ceramics and even gingiva. They also discuss the latest Creation Magic Color system, hands-on education, custom shade appointments, and why reducing remakes isn't just good for labs—it's better for doctors and patients too. Add in some FDLA leadership talk and a shared passion for education, and you've got a conversation packed with practical ideas and plenty of laughs. Then Elvis and Barb sit down with Kaveh Shams, Branch Manager for Zirkonzahn Canada, whose journey into digital dentistry spans London, Italy, and Canada. Kaveh shares how his admiration for Enrico Steger and Zirkonzahn eventually led to his dream job, while also offering a fascinating look into the company's history, philosophy, and commitment to education. From the origins of Exocad and custom CAM strategies to modular milling systems, open architecture, and Zirkonzahn's incredible Military School program that trains the next generation of technicians, this conversation is full of insight into what makes one of dentistry's most respected digital companies tick. It's an inspiring story of passion, persistence, and why great technology always starts with great technicians.Special Guests: Chris Bradley, Dawn Roniger ​​​​, Kaveh Shams, and Rich Wodzinski.

Today our hosts welcome back one of the finest minds in Objects: Jesse Honig of 29 Pedals and Believable Audio. They discuss his recent video on the differences between preamps, and our hosts experience a freewheeling wonderment of knowledge. Subjects include capturing the spirit in the room, leaning into the noises, letting an idea be fully explored on its own, a hot take involving acoustic treatment, and how the five percent difference only matters when it matters to you and your creative process. Watch "Side quest for mic pre skeptics": https://youtu.be/4pJk9laRR1c?si=ZUwceWD8P2smWCRs Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @danfromdsf, @andyothling, @oldbloodnoise, @29pedals Subscribe to OBNE on Twitch: https://www.twitch.tv/oldbloodnoise Leave us a voicemail at 505-633-4647!

Robin and Mazen tackle a listener Q&A covering React Native, AI, mobile development, Expo Router, Flutter, performance, consulting, and code quality. They share practical engineering insights, real world stories, and why React Native continues to thrive in the age of AI.   Connect With Us! Robin Heinze: @robinheinze Mazen Chami: @mazenchami React Native Radio: @ReactNativeRdio   This episode is brought to you by Infinite Red! Infinite Red is a premier mobile app consultancy, especially focused on Expo and React Native, located fully remote in the US. We're a team of 30 with highly experienced mobile app developers and have been doing this for over a decade. We are also one of the first development teams to adopt agentic coding in a way that keeps high quality standards and aren't afraid to do things the old school way if we need to. If you're looking for mobile app or React Native or Expo expertise for your next project, hit us up at infinite.red/radio.

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Zach Daniel, creator of the Ash Framework and Igniter, VP of Engineering at Remedy Meds, and upcoming ElixirConf keynote speaker, to talk about what sits between an LLM and useful engineering work. Zach reflects on how much has changed since his last appearance on the podcast in October 2024, moving from Igniter, code generation, and project patching into AI agents, context layers, and custom engineering workflows. The conversation explores how deterministic tools and probabilistic LLMs can work together, and why the most useful AI systems often depend on the structure built around the model. We also discuss why teams should be careful about outsourcing the systems that hold their organizational knowledge and decision-making. He shares his perspective on owning the AI stack, building internal knowledge systems, training junior developers in an AI-augmented world, avoiding vendor lock-in, and why Elixir may be especially well-suited for safer agentic workflows. Zach will be a keynote speaker at ElixirConf 2026, September 10–11 in Chicago, and the Elixir Wizards will be there too! Join us and the broader Elixir community, and use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Key topics discussed in this episode: Zach Daniel's work with Ash, Igniter, and AI tooling How software development has changed since 2024 Deterministic code generation vs. LLM-generated code Combining structured tools with AI agents What it means to own your AI stack Organizational knowledge as an engineering “spinal column” Context layers, documentation, and internal workflows Building custom agentic systems Security, vendor lock-in, and open source LLMs Junior developers and apprenticeship in the AI era Why Elixir and the BEAM fit agentic workflows Links mentioned: Ash Framework https://ash-hq.org/ Igniter https://igniter.hexdocs.pm/ Phoenix Framework https://www.phoenixframework.org/ Remedy Meds https://remedymeds.com/ Keynote: Code Generators are Dead. Long Live Code Generators - Chris McCord | ElixirConf EU 2025 https://www.youtube.com/watch?v=ojL_VHc4gLk https://phoenix.hexdocs.pm/Mix.Tasks.Phx.Gen.Live.html LSP https://en.wikipedia.org/wiki/Language_Server_Protocol Claude Code https://claude.com/product/claude-code GitHub Actions https://github.com/features/actions Harness Engineering https://en.wikipedia.org/wiki/Agent_harness
Claude SDK https://code.claude.com/docs/en/agent-sdk/overview Zach's Twitter https://x.com/ZachSDaniel1 ElixirConf https://elixirconf.com/ AshConf https://luma.com/wz4z0iz6 Goatmire https://goatmire.com/Special Guest: Zach Daniel.

In this episode, Kelly Schuster-Paredes speaks with Mahmoud Harding about his work in data science education and the way he thinks about teaching Python, R, and statistics. Mahmoud explains that he is the instructional design director at Data Science for Everyone, where the goal is to make data science available to more students and to connect it to meaningful, real-world contexts. A major part of the conversation focuses on how students learn best through curiosity and project-based work. Mahmoud describes the ADAPT model, including its emphasis on project-based learning and common learning elements, and he argues that students should begin working with their own data early in a course. Kelly and Mahmoud discuss how choosing their own datasets helps students become more engaged, notice mistakes, and ask better questions. The discussion also compares R and Python as tools for data science. Mahmoud explains that R was designed by statisticians for statistical analysis, while Python became popular as a general-purpose language that later grew into a strong data science ecosystem through libraries like NumPy and pandas. He also describes Jupyter Everywhere, a browser-based notebook environment designed to reduce barriers for schools and allow students to use R or Python without complicated setup. Later, the conversation turns to judgment, nuance, and the role of data in learning. Mahmoud argues that students need domain knowledge and human judgment to interpret data responsibly, and that data projects can help them develop those skills. Kelly extends this idea to other subjects, suggesting that books, history, and other classroom materials can also be treated as data for analysis and discussion. The episode closes with Mahmoud sharing ways to connect with him through Data Science for Everyone and with mention of an upcoming Data Science Education K–12 event in Atlanta in February.Special Guest: Mahmoud Harding.

In this episode of the Microsoft Threat Intelligence Podcast, host⁠ ⁠⁠Sherrod DeGrippo is joined by co-authors Michael Howard, Lee Holmes, and Shawn Hernan for a discussion on their new book, Threat-Driven Software Development: Defending Online Services from Modern Threat Actors.   Together, they explore how security teams and software developers can build more resilient systems by understanding how real-world threat actors operate. From threat modeling and operational security to the evolving role of AI in both cyber defense and cybercrime, the conversation examines lessons learned from major security incidents and why secure design must be a priority from the earliest stages of software development.  In this episode you'll learn:       Why security should be driven by real-world threat actor behavior  How developers can reduce risk through better design and operational practices  The role of threat modeling in modern software development  Some questions we ask:      How did the idea for Threat-Driven Software Development come about?  Why is operational security just as important as application security?  What do you hope readers take away from this book?  Resources:   View Lee Holmes on LinkedIn   View Michael Howard on LinkedIn   View Shawn Hernan on LinkedIn   View Sherrod DeGrippo on LinkedIn     Related Microsoft Podcasts:                    The BlueHat Podcast  Uncovering Hidden Risks      Discover and follow other Microsoft podcasts at microsoft.com/podcasts     Get the latest threat intelligence insights and guidance at Microsoft Security Insider    The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network. 

David is a veteran cybersecurity executive with more than 30 years of experience and currently serves as Chief Information Security Officer after previously leading Oracle's SaaS Cloud Security organization. David has held leadership roles at Microsoft and Google Cloud, helping build and secure some of the world's largest cloud platforms. He's also a former U.S. Navy electronic warfare specialist, an inventor with more than 30 security patents, and now serves as both a Chief Information Security Officer and Venture Partner.00:00 Intro02:50 Our Guest05:50 The Evolution of Technology and Coding10:55 AI's Role in Software Development and Security16:07 DevSecOps and Cloud Security Architecture18:35 The Future of Vulnerabilities and Human Factors in Cybersecurity21:22 The Value of Veterans in Cybersecurity22:21 Maturing Organizations in Cybersecurity23:20 Understanding Risk and Maturity Models24:51 Simplicity in Cybersecurity Practices25:27 Challenges for Small and Medium Enterprises27:05 Adopting AI in Organizations29:58 Data Leakage Prevention Strategies32:01 Third Party Risk Management35:02 Concerns with Embedded Systems37:50 Emerging Threats in Cybersecurity39:58 The Future of Cyber Threats43:27 Leveraging AI for Enhanced Capabilities

Go 1.26.5 and Go 1.25.12 are releasedEpisode 54:

Today our hosts spread the worship around, focusing on a few topics that touch on many objects. Andy has a new amp, Dan has some experiences looking at noise relationships when multiple pedals get involved, each of them gets excited about playing a solo show, and they take an unprompted voicemail. Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @danfromdsf, @andyothling, @oldbloodnoise Subscribe to OBNE on Twitch: https://www.twitch.tv/oldbloodnoise Leave us a voicemail at 505-633-4647!

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Flora Petterson, a self-taught Elixir developer, speaker, and maker, to talk about what happens when software systems forget and how developers can design for recovery. Flora shares her unconventional path to programming, from puppetry and creative work to discovering Elixir through Nerves and hardware projects. The conversation centers on her talk, “After the Crash,” which uses forgetting as a way to think about failure in software systems. Flora and the hosts explore process crashes, lost state, GenServer lifecycle, supervision, “let it crash,” and the difference between preventing failure and building systems that know how to recover. The episode also expands from software memory to team memory. Flora discusses documentation, institutional knowledge, mentorship, storytelling, and the challenge of preserving both what a system does and why decisions were made. Along the way, she shares how creative, low-stakes projects can help developers build deeper technical understanding and how the Elixir community can continue supporting new and self-taught engineers. Key topics discussed in this episode: Learning through experimentation with Nerves, hardware, and animatronics What it means for software systems to “forget” Failure, recovery, and lost state in the BEAM GenServer lifecycle and process recovery The nuance behind “let it crash” What supervision trees can and cannot protect Designing systems to recover from failure Deciding when state should be recovered or abandoned Documentation as organizational memory Capturing the “why” behind technical decisions Tests, docs, and examples as living knowledge Mentorship for self-taught and junior developers Storytelling as technical communication Creative projects as a path to deeper learning AI's impact on new developers Community, curiosity, and growth in Elixir Join us and the broader Elixir community at ElixirConf in Chicago this September 10-11. Use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Links mentioned: Embedded Elixir Nerve https://nerves-project.org/ Gig City Elixir Conference https://www.gigcityelixir.com/ Strange Loop Conference https://www.thestrangeloop.com/ Elixir Wizards S15E05 The State of Code Quality with Saša Jurić http://bit.ly/EWS15E05 One Art by Elizabeth Bishop https://www.poetryfoundation.org/poems/47536/one-art "Systems that run forever self-heal and scale" by Joe Armstrong (2013) https://www.youtube.com/watch?v=cNICGEwmXLU Conway's Law https://en.wikipedia.org/wiki/Conway%27s_law Dunning–Kruger effect https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect Elixir Wizards S15E10 Bruce Tate http://bit.ly/EWS15E10 Designing Elixir Systems with OTP by James Gray & Bruce Tate https://pragprog.com/titles/jgotp/designing-elixir-systems-with-otp/ GenServer Behavior https://elixir.hexdocs.pm/main/GenServer.html IEx https://iex.hexdocs.pm/IEx.html Domain Driven Design by Eric Evans https://www.domainlanguage.com/ GDPR General Data Protection Regulation https://gdpr-info.eu/ https://blog.cleancoder.com/uncle-bob/2017/02/23/NecessaryComments.html Living Documentation by Cyrille Matraire https://www.oreilly.com/library/view/living-documentation-continuous/9780134689418/ Exciting ExDoc talk by Flora Petterson 2025 CodeSync https://www.youtube.com/watch?v=tLr9FOARwzQ ExDoc https://ex-doc.hexdocs.pm/ The AI Coding Crisis Blog Series https://grox.io/blog/series/the-ai-coding-crisis/ Build Animatronics with Nerves talk https://www.youtube.com/watch?v=4Ulurej4NTg Sam Aaron Sonic Pi https://sonic-pi.net/ https://scratch.mit.edu/ https://www.scratchfoundation.org/learn Nerves LiveBook https://github.com/nerves-livebook/ Hardware for Embedded Systems https://www.raspberrypi.com/ Goatmire Conference https://goatmire.com/

Is waterfall or agile better? How long should a standup be? Are story points the right way to evaluate developer time? Why is spec driven development not a good thing? These are the questions we will answer in today's episode of DevQuestions.Website: https://www.iamtimcorey.com/  Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

In this episode I talk with Dave Thomas about the rapid changes in technology and the importance of returning to software development fundamentals. We discuss the pitfalls of relying solely on AI-generated code and the value of elegance, simplicity, and deep understanding in software design.Links:- Renaissance Code- RubyConf- Nonsense Monthly

Jonathan and Shay talk about the show itself; a bit of context and history, what they like, what they don't like, and how it will change in the future.The main thing is it's still a short, focused, Go news program! But we discuss ways to improve it and increase its reach.Shoutout to My First Million's episode: "We hit record on our private strategy session" for the idea. ★ Support this podcast on Patreon ★

In this episode, Elixir Wizards Charles Suggs and Emma Whamond are joined by Bruce Tate, founder of Groxio and longtime Elixir educator, to discuss career growth and mentorship in the age of AI. Bruce reflects on Elixir's evolution and explores how AI coding agents are changing the way developers learn, work, and advance. He explains his “anti-vibe coding” philosophy and recommends practices for maintaining code quality, arguing that many struggles attributed to junior developers are really failures of training and mentorship. Rather than using AI productivity gains to eliminate entry-level roles, Bruce challenges teams to reinvest that time in educating juniors to support their long-term career path. Bruce will expand on this conversation at ElixirConf 2026, September 10–11 in Chicago, and the Elixir Wizards will be there too! Join us and the broader Elixir community, and use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Topics discussed in this episode: The evolution of the Elixir ecosystem from conception to now Rethinking career growth and mentorship in the age of AI What “anti-vibe coding” means Functional core and imperative shell design OTP fundamentals and architectural literacy Managing AI-generated code and pull requests Mentorship beyond code review Developing engineering judgment API design as a core skill AI as a force multiplier for junior developers Reinvesting AI productivity gains in people Links mentioned: https://grox.io/ Seven Languages in Seven Weeks by Bruce Tate https://pragprog.com/titles/btlang/seven-languages-in-seven-weeks/ Programming Phoenix LiveView https://pragprog.com/titles/liveview/programming-phoenix-liveview/ BASIC Programming Language https://www.purebasic.com/ C++ Programming Language https://cplusplus.com/ COBOL Programming Language https://www.ibm.com/think/topics/cobol Fortran Programming Language https://fortran-lang.org/ Bitter Java by Bruce Tate https://www.amazon.com/Bitter-Java-Bruce-Tate/dp/193011043X Slashdot Effect https://en.wikipedia.org/wiki/Slashdot_effect Slashdot https://slashdot.org/ Java Programming Language https://www.java.com/en/ Ruby Programming Language https://www.ruby-lang.org/en/ Lisp Programming Language https://lisp-lang.org/ Haskell Programming Language https://www.haskell.org/ Erlang Programming Language https://www.erlang.org/ Eric Meadows-Jönsson https://github.com/ericmj Machine Learning in Elixir by Sean Moriarity https://pragprog.com/titles/smelixir/machine-learning-in-elixir/ The AI Collective https://www.aicollective.com/ Elixir Pipe Operator https://operator.hexdocs.pm/readme.html Phoenix Framework https://www.phoenixframework.org/ Phoenix LiveView https://phoenix-live-view.hexdocs.pm/Phoenix.LiveView.html Broadway https://hex.pm/packages/broadway Designing Elixir Systems with OTP by James Edward Gray & Bruce Tate https://pragprog.com/titles/jgotp/designing-elixir-systems-with-otp/ The AI Coding Crisis Blog Series https://grox.io/blog/series/the-ai-coding-crisis/ Groxio Live https://grox.io/liveSpecial Guest: Bruce Tate.

AI didn't just speed up the development of Basecamp 5, it changed how it was built. This week, Jason Fried and David Heinemeier Hansson break down how much of a role AI played in building their latest product, where it shines, and how 37signals had to adjust its process to keep their code base clean.Key Takeaways00:11 – How much of a role AI played in building Basecamp 509:55 – Where the intelligence technology truly excels14:42 – The new challenge of saying no when features become easier to build16:19 – Why a leaner product roadmap still matters18:32 – Staying "easy to use" while competitors focus on AI features20:44 – Why AI deserves both the hype and the skepticism25:12 – Token spend, productivity, and staying profitableLinks and ResourcesAI Agents welcome in BasecampRecord a video question for the podcastWatch The REWORK podcast on YouTubeBasecamp is the no-nonsense project management system. Sign up for free at Basecamp.comHEY is a fresh take on email. Sign up for a 30-day free trial at HEY.comFizzy is a modern spin on kanban. Sign up for free at fizzy.doBooks by 37signalsJason Fried on XDavid Heinemeier Hansson on X

Hey there Voices of the Bench community, this is Trish Jones with Ivoclar. If you've been curious about fast-firing zirconia to improve efficiency but aren't convinced it can deliver predictable, high-quality results, I'd encourage you to connect with us. Our new IPS Emax Zirconia offers multiple fast-fire protocols designed to help save you valuable production time while maintaining consistent results. Time is money in every lab. Don't wait. Reach out to your local Ivoclar rep today and discover how IPS Emax Zirconia can help streamline your workflow. At exocad Insights in beautiful Mallorca, we finally caught up with Felix from Imagine USA—and the timing couldn't have been better. As an exocad dealer on the front lines of digital dentistry, Felix shared his excitement about the strong turnout, the familiar faces, and most importantly, the innovation coming from exocad. What stood out most? The new exocad Hub and its cloud-based capabilities, along with powerful AI-driven tools inside DentalDB designed for efficient batch processing. For Felix and the Imagine team, it's not just about seeing what's new—it's about putting it to the test. By running new features through their own production facility first, they ensure real-world performance before bringing solutions to their customers. While at Exocad Insights in Mallorca, Elvis and Barb sit down with Beth Collington, President of Exocad America, to talk about the growth of digital dentistry and how Exocad continues to evolve to meet the needs of technicians, laboratories, and clinicians. Beth shares her thoughts on education, accessibility, and the importance of creating tools that help bring more people into digital workflows while maintaining the flexibility that has made Exocad a favorite throughout the industry. Then Josh Jakson and Robert Norton join the podcast to discuss their roles as Exocad educators, trainers, and laboratory professionals. The conversation covers some of the biggest announcements from Exocad Insights, including AI Crown, Crown Finalization, and ExoHub, and what these developments could mean for the future of laboratory workflows. They also share how real-world production experience influences the way they teach, why Exocad's flexibility remains one of its greatest strengths, and how the software is being used for everything from high-volume crown production to custom grills, jewelry, and even automotive parts. It's a fun conversation filled with practical insight, industry perspective, and a glimpse into where digital dentistry is headed next. Special Guests: Beth Collington, Joshua Jakson, and Robert Norton.

Carson Gross, computer science professor at Montana State and creator of htmx, joins the show to cut through the noise around AI and programming. He explains why the jump from high-level languages to LLMs is fundamentally different from past transitions, why junior developers who skip writing code risk being at the mercy of a stochastic system, and why systems architecture and managing code complexity are the skills that will matter most. A grounded, rational take on the future of software development jobs. Resources Yes,and...: https://htmx.org/essays/yes-and/ We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters 00:00 Introduction — Carson Gross and the "Yes, And…" Blog Post 01:45 Why Carson Felt Compelled to Write About AI and Coding 03:30 The Assembly-to-High-Level Analogy — and Why It Falls Apart 06:00 Juniors Must Write Code to Be Able to Read Code 08:15 The Sorcerer's Apprentice Trap 10:30 Could AI Actually Increase Demand for Programmers? 12:45 Why "SaaS Is Dead" Is Shortsighted 15:00 Systems Architecture as the High-Value Skill Going Forward 17:30 Essential vs Accidental Complexity — The No Silver Bullet Framework 20:00 How LLMs Break the Natural Feedback Loop of Bad Code 23:00 Will AI Change How We Think About Testing? 26:30 Abstraction, Paradigms, and Human-Readable Code 29:00 How Much Has AI Actually Boosted Carson's Own Productivity? 32:00 The Mental Health Cost of the AI Hype Cycle 35:30 Final Thoughts — Give Yourself (and Others) a BreakSpecial Guest: Carson Gross.

Always Be Prospecting Today on THINK Business, I sat down with Gabe Lullo, CEO of Alio, a company that makes 11 million cold calls a year. Yes, 11 million. We dug into something every business needs to hear: Momentum is not a strategy. Prospecting is. Too many teams slow down once the pipeline gets full. They rely on inbound. They wait. They hope. Whether business is good, bad, or booming, the companies that keep hunting stay relevant, stay sharp, and stay growing. We also talked first impressions, SDR training, the power of simple questions, and why the best salespeople never sound "salesy"—they sound human. AI is accelerating the game, no doubt. But one thing still separates leaders from laggards: Pick. Up. The. Phone. People are getting fewer calls today because everyone else is afraid to make them. That's an advantage for anyone willing to act. 3 Takeaways for Your Business Outbound is not optional. First impressions fuel conversions. The phone is your unfair advantage. People buy from people. A call breaks through the noise faster than any email sequence ever will. --- Gabe Lullo's expertise in sales, marketing, recruiting, and management began when he started his own business after graduation from the Barney School of Business at the University of Hartford. He owned and operated his own sales, training, and marketing firm for more than a decade. Gabe excelled in training sales and marketing professionals, and additionally, has had a successful career in executive recruiting. Gabe has been instrumental in expanding the company's search and placement for IT, Software Development, Sales, Customer Success, Marketing, and Executive leaders. Gabe's most recent success has been with us here at Alleyoop. For many years, he has been working to build and grow the company by focusing on its culture, environment, customer success, and sales. Connect with Jon Dwoskin: Twitter: @jdwoskin Facebook: https://www.facebook.com/jonathan.dwoskin Instagram: https://www.instagram.com/thejondwoskinexperience/ Website: https://jondwoskin.com/LinkedIn: https://www.linkedin.com/in/jondwoskin/ Email: jon@jondwoskin.com Get Jon's Book: The Think Big Movement: Grow your business big. Very Big! Connect with Gabe Lullo:Website: https://alleyoop.io LinkedIn: https://www.linkedin.com/in/lullo *E - explicit language may be used in this podcast.  

AI can generate working code quickly. Building reliable software to run infrastructure platforms is still a multi-year engineering challenge. In this sponsored episode, BlueCat chief strategy officer Andrew Wertkin joins John Burke and Scott Robohn to talk through the difference between code generation and enterprise software development, and the challenges and opportunities of engineering reliability... Read more »

AI can generate working code quickly. Building reliable software to run infrastructure platforms is still a multi-year engineering challenge. In this sponsored episode, BlueCat chief strategy officer Andrew Wertkin joins John Burke and Scott Robohn to talk through the difference between code generation and enterprise software development, and the challenges and opportunities of engineering reliability... Read more »