Podcasts about Software development

Control Plane CEO Doron Grinstein joins me to discuss how they've created an AI-native cloud API that virtualizes multi-cloud and hybrid cloud to simplify management and ship faster.Watch the video of this episode.

In this episode, we dive into how AI is changing e-commerce apps and online shopping. Garry Egan, founder of Interlinks Development and 25-year software developer, shares why single-task apps are disappearing and how the best apps will become AI wrappers. He reveals strategies for specialized workflows, why deep technical expertise matters for developers, and how AI alters the buyer journey.InterLinks: For Shopify stores, automatically create internal links that increase conversions, boost click-through rates, and drive more page views. Get 500 FREE Extra Keyword Automations here: https://tinyurl.com/538jfhknTopics discussed in this episode:  How AI changes e-commerce software usage.What makes low-hanging single task apps obsolete.Why store owners prefer GUI buttons over prompt lines.How specialized apps evolve into AI wrappers.What types of complex workflows survive AI.Why high-risk compliance stores need custom tools.How LLMs alter the product discovery journey.What store owners need to know about AEO.Why full-stack skills matter more for developers.How expert developers build faster with AI tools.Links & Resources Website: https://getinterlinks.com/Shopify App Store: https://apps.shopify.com/interlinksLinkedIn: https://www.linkedin.com/in/garryeganGet access to more free resources by visiting the show notes at https://tinyurl.com/443tzjyy______________________________________________________ Our Sponsors Xero is cloud-based accounting software that helps small businesses, including ecommerce sellers and DTC brands - manage invoicing, cash flow, bank reconciliation, and reporting from one place, on any device. Get 90% off for 6 months. Learn more at https://referrals.xero.com/ecb - T&Cs apply.Bizrate Insights: Star ratings tell you how customers feel. Bizrate Insights reveals what's driving those ratings, helping ecommerce brands create smoother shopping journeys, inspire confident purchases, and build lasting loyalty. Turn verified shopper feedback into clear priorities and better customer experiences. Learn more at bizrateinsights.com/coffee ______________________________________________________LOVE THE SHOW? HERE ARE THE NEXT STEPS!Follow the podcast to get every bonus episode. Tap follow now and don't miss out!  Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts   Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/   Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

What if zirconia could look even more like natural teeth? According to Dr. Ed McLaren, “Of all the zirconia's he's tested, the optical properties of Ivoclar's e.max zirconia are the closest to natural teeth.” (And I second that with everything I've see – if Barb does the read) Discover what's redefining the possibilities with IPS e.max Zirconia. Join Dr. Ed McLaren for Zirconia Reimagined—an informative webinar exploring the latest advancements, clinical insights, and practical applications of zirconia in modern dentistry. October 5th @ 7:00 pm. Register today at Vivalearning.com 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. What happens when you combine a family-run software company, decades of dental laboratory experience, and a mission to make labs run smarter? You get Magic Touch Software. In this episode, Elvis sits down with Dan Sinclair and Amir Bagheri to dig into the history, philosophy, and technology behind Magic Touch and find out why they believe a laboratory management system should do a whole lot more than just track cases through production. Dan shares his unexpected journey back to Magic Touch after leaving the company, while Amir takes us all the way back to the 1990s and the origins of the software, including how his father, Gary, helped develop what would eventually become the foundation of Magic Touch through his work with Glidewell. The conversation dives into the evolution from production-focused LMS platforms to complete business management systems that bring customer management, accounting, inventory, automation, digital case entry, integrations, reporting, and production workflows together in one place. We also get into one of the biggest challenges facing modern dental labs: digital case entry and the ever-growing pile of scanner portals and inboxes. Amir and Dan explain how Magic Touch can automate that process, reduce manual entry, minimize missed cases and errors, and give lab teams more time to actually work on cases instead of hunting them down. And if you've ever wondered how much time and money a lab can lose by having a collection of disconnected systems, this conversation makes a pretty compelling case for consolidation. But perhaps the biggest theme of the episode is that Magic Touch doesn't want to be just another software vendor. Their approach is built around implementation, consultation, process improvement, and helping labs understand what they actually want their business to look like before configuring the system to get them there. From breaking old habits to building super users, testing changes before they go live, and using data to identify where a lab needs to improve, the goal is to create a system that grows and changes with the business. Hey, listeners—ever wonder what Elvis is doing when he's not recording Voices from the Bench? He's a client rep for Derby Dental Laboratory, out in the field every day doing chairside visits and building relationships. His job is simple—keep doctors happy and keep them coming back. And he couldn't do it without iCortica. Right from his phone, Elvis can see sales, remake rates, account notes, risks, and cross-sell opportunities—even before he walks through the door. No spreadsheets. No surprises. Just the info he needs to grow accounts. Stop digging for data and start taking action. Head to icortica.com and schedule your demo today. Dental lab owners and managers — are you spending too much time chasing paperwork, checking portals, tracking cases, and answering doctors asking, “Is my crown done yet?” You didn't start a dental lab to become a full-time paperwork wrangler. LabNCloud is the all-in-one, cloud-based platform built by techs, for techs, with 90+ features to streamline your entire lab — from case tracking and invoicing to shipping, time tracking, doctor portals, and automatic digital file routing. Stop managing chaos and start managing your lab. Visit LabNCloud.com to book your free personalized demo. And mention “Elvis is Handsome” to get your first month free. LabNCloud — the operating system for dental labs. Built by techs, for techs.Special Guests: Amir Bagheri and Dan Sinclair.

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 David Soria Parra co-created the Model Context Protocol (MCP), the standard that now underpins most AI agent integrations, and, before that, spent years as a core contributor to Mercurial and on Meta's internal source control team. He got into programming at 13, writing a PHP guestbook for a gaming website with friends, and hasn't really stopped building since. This conversation goes straight to the thing every CTO is quietly building right now: their own agent harness. David makes a surprisingly blunt case that harness writing itself isn't the hard part: "give it a bunch of tools, a bunch of execution steps, be a little smarter about context selection, and go," and that most companies would be better off configuring a strong existing harness than building their own from scratch. He and Tobi also dig into why the "MCP vs. CLI" debate is largely manufactured, how Meta and Anthropic both run on almost no prescribed process, and how David's own workflow has quietly shifted from local Claude Code sessions to Slack threads over the past six months. CTOs will walk away with a clear-eyed, unhyped view of harness-building from the person who literally created the interoperability standard. Everyone argues about when building your own is worth it, what to check for in a vendor contract, and where to actually put your attention instead of endlessly optimizing your setup. What's covered: - David's path from a PHP guestbook at 13 to Mercurial core contributor to Meta's source control team - Biggest lessons from Meta, and how Anthropic runs on even less internal process - His personal setup: a handful of skills, a few MCP connectors, and why he's a "vanilla" tool user - Why his day-to-day workflow moved from Claude Code sessions into Slack threads with Claude - The real MCP-vs-CLI debate — and why it was never actually a debate - Should every CTO or engineer build their own agent harness? - What's still defensible in software engineering as agents get stronger

Our conversation with Adam Engst continues with an exploration of  how AI can help non-programmers build sophisticated software by following professional development practices. Adam explains using specifications, architecture documents, and AI-guided decisions to create reliable apps, then examines the approach his app, SetShot, takes to macOS settings, privacy, security, user feedback, Cloudflare, GitHub, and minimizing sensitive data collection.  MacVoices is supported by Take Control Books. Expert advice from leading tech authors. Visit TakeControlBooks.com and start your library today. Show Notes: Chapters: 00:00 Adam Engst on AI-assisted software development00:11 Take Control Books00:24 Learning to build software with AI01:23 Professionalizing AI-assisted development01:53 When a simple script doesn't need a specification02:14 Why serious applications should start with a spec02:55 Creating an architecture document with AI03:31 Letting AI recommend technologies and explain tradeoffs03:46 Why AI should ask one question at a time04:07 Building an architecture through an AI interview04:30 Maintaining architectural consistency as software evolves05:03 How guardrails prevent bugs, performance, and security problems05:35 Security and privacy considerations05:55 Understanding SetShot's potential privacy concerns06:05 How SetShot snapshots and compares macOS settings06:35 Trusting software with access to computer data06:58 SetShot's online knowledge base07:39 Submitting unrecognized settings08:10 Using Claude to create human-readable descriptions08:38 Sending user feedback safely09:06 Text replacements and potentially sensitive information09:48 Minimizing the collection of personal information10:11 Using Cloudflare Workers to protect user identity10:41 Sending submissions to GitHub11:05 What identifying information is actually transmitted11:15 Addressing the perception of privacy risk11:47 Understanding the scope of SetShot12:13 Sensitive information in text replacements Links: Decades After HyperCard, AI Is Democratizing Development Again by Adam Engst in TidBITS SetShot by Adam Engst SetShot Tracks macOS Settings Changes - TidBITS Guests: Adam C. Engst is the publisher of TidBITS, one of the oldest and most respected Internet-based newsletters, distributed weekly to tens of thousands of readers. He has written numerous technical books, including the best-selling Internet Starter Kit series, and many magazine articles—thanks to Contributing Editor positions at MacUser, MacWEEK, and Macworld. His innovations include the creation of the first advertising program to support an Internet publication in 1992, the first flat-rate accounts for graphical Internet access in 1993 (with Northwest Nexus for Internet Starter Kit for Macintosh), and the highly successful Take Control electronic book series. In addition, he has collaborated on several educational videos on the Internet and has appeared on various internationally broadcast television and radio programs. His tireless support of the Macintosh community and commitment to helping individuals have resulted in numerous awards and recognition at the highest levels. In the annual MDJ Power 25 survey of industry insiders, he ranked as the second (2000), third (2001, 2002), fourth (2003), fifth (2004), and third (2005/2006) most influential person in the Macintosh industry. He has also been included on the MacTech 25 list of influential people in the Macintosh technical community for 2006 and 2007, and he was named one of MacDirectory's top ten visionaries. And how many industry figures can boast of being turned into an action figure? Support: Become a MacVoices Patron on Patreonhttp://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web:http://macvoices.com Twitter:http://www.twitter.com/chuckjoinerhttp://www.twitter.com/macvoices Mastodon:https://mastodon.cloud/@chuckjoiner Facebook:http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:http://www.facebook.com/macvoices/ MacVoices Group on Facebook:http://www.facebook.com/groups/macvoice LinkedIn:https://www.linkedin.com/in/chuckjoiner/ Instagram:https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunesVideo in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss

Plus: Oil continues to move higher. And cybersecurity stocks fall after Palo Alto Networks posts quarterly loss. Imani Moise hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How can constraints make software development assistants more efficient? Carl and Richard talk to Don Demcsak about his work on getting LLMs to build higher-quality software with fewer resources. Don talks about how domain-driven language techniques help to define and constrain language around a given application problem space, but that largely hasn't been applied to coding agents so far. And as powerful as domain-driven is, it has challenges when it comes to building applications - and, more importantly, testing them. That's where behavior-driven approaches have advantages, which can also be applied to agents. Applying techniques of the past to tools of the future can accelerate development even further!

Our conversation with Adam Engst continues with an exploration of  how AI can help non-programmers build sophisticated software by following professional development practices. Adam explains using specifications, architecture documents, and AI-guided decisions to create reliable apps, then examines the approach his app, SetShot, takes to macOS settings, privacy, security, user feedback, Cloudflare, GitHub, and minimizing sensitive data collection.  MacVoices is supported by Take Control Books. Expert advice from leading tech authors. Visit TakeControlBooks.com and start your library today. Show Notes: Chapters: 00:00 Adam Engst on AI-assisted software development 00:11 Take Control Books 00:24 Learning to build software with AI 01:23 Professionalizing AI-assisted development 01:53 When a simple script doesn't need a specification 02:14 Why serious applications should start with a spec 02:55 Creating an architecture document with AI 03:31 Letting AI recommend technologies and explain tradeoffs 03:46 Why AI should ask one question at a time 04:07 Building an architecture through an AI interview 04:30 Maintaining architectural consistency as software evolves 05:03 How guardrails prevent bugs, performance, and security problems 05:35 Security and privacy considerations 05:55 Understanding SetShot's potential privacy concerns 06:05 How SetShot snapshots and compares macOS settings 06:35 Trusting software with access to computer data 06:58 SetShot's online knowledge base 07:39 Submitting unrecognized settings 08:10 Using Claude to create human-readable descriptions 08:38 Sending user feedback safely 09:06 Text replacements and potentially sensitive information 09:48 Minimizing the collection of personal information 10:11 Using Cloudflare Workers to protect user identity 10:41 Sending submissions to GitHub 11:05 What identifying information is actually transmitted 11:15 Addressing the perception of privacy risk 11:47 Understanding the scope of SetShot 12:13 Sensitive information in text replacements Links: Decades After HyperCard, AI Is Democratizing Development Again by Adam Engst in TidBITS SetShot by Adam Engst SetShot Tracks macOS Settings Changes - TidBITS Guests: Adam C. Engst is the publisher of TidBITS, one of the oldest and most respected Internet-based newsletters, distributed weekly to tens of thousands of readers. He has written numerous technical books, including the best-selling Internet Starter Kit series, and many magazine articles—thanks to Contributing Editor positions at MacUser, MacWEEK, and Macworld. His innovations include the creation of the first advertising program to support an Internet publication in 1992, the first flat-rate accounts for graphical Internet access in 1993 (with Northwest Nexus for Internet Starter Kit for Macintosh), and the highly successful Take Control electronic book series. In addition, he has collaborated on several educational videos on the Internet and has appeared on various internationally broadcast television and radio programs. His tireless support of the Macintosh community and commitment to helping individuals have resulted in numerous awards and recognition at the highest levels. In the annual MDJ Power 25 survey of industry insiders, he ranked as the second (2000), third (2001, 2002), fourth (2003), fifth (2004), and third (2005/2006) most influential person in the Macintosh industry. He has also been included on the MacTech 25 list of influential people in the Macintosh technical community for 2006 and 2007, and he was named one of MacDirectory's top ten visionaries. And how many industry figures can boast of being turned into an action figure? Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss

How can constraints make software development assistants more efficient? Carl and Richard talk to Don Demcsak about his work on getting LLMs to build higher-quality software with fewer resources. Don talks about how domain-driven language techniques help to define and constrain language around a given application problem space, but that largely hasn't been applied to coding agents so far. And as powerful as domain-driven is, it has challenges when it comes to building applications - and, more importantly, testing them. That's where behavior-driven approaches have advantages, which can also be applied to agents. Applying techniques of the past to tools of the future can accelerate development even further!

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.

Gant Laborde returns to the podcast for a recap of all things Chain React! Robin and Mazen chat with Gant about the trends he saw at Chain React this year — from Expo's keynote to AI's growing role in software development — as well as why in-person conferences are still at the center of what motivates us as a community. Show Notes Chain React Recap Video Connect With Us! Gant Laborde: @gantlaborde 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.

Can AI Really Make Developers 100 Times Faster? Artificial intelligence is changing software development at an incredible pace, but the biggest breakthroughs aren't coming from AI replacing developers. They're coming from giving AI the right tools, the right knowledge, and the right plan. In this episode of 10 Minute Tech Talks, Jonathan Kersting of the Pittsburgh Technology Council sits down with Chris Bannon of MESCIUS to explore how AI-powered coding assistants are transforming the way software is built. From intelligent development tools and MCP servers to smarter planning techniques, Chris explains why the future belongs to developers who know how to work with AI instead of simply asking it to write code. You'll discover why spending more time planning can dramatically reduce development time, how AI can eliminate days of frustrating API work, and why human expertise remains the secret ingredient behind great software. You'll learn: Why AI coding assistants are making developers dramatically more productive. How MCP servers give AI the knowledge it needs to generate better code. Why planning before coding leads to faster, higher-quality software. How experienced developers are becoming even more valuable in the AI era. The surprising lesson a plate of AI-generated county fair food teaches us about trusting artificial intelligence. Whether you're a software developer, startup founder, technology leader, or simply curious about where AI is taking software engineering, this conversation offers practical insights into one of the biggest shifts happening in technology today. Hit play and discover why the future of coding isn't just artificial intelligence. It's intelligent collaboration between humans and AI. Produced by the Pittsburgh Technology Council, this is a podcast for tech and manufacturing  entrepreneurs exploring the tech ecosystem, from cyber security and AI to SaaS, robotics, and life sciences, featuring insights to satisfy the tech curious.

In which Jonathan and Shay dig through the top highlights of Go's new release, Go 1.27!Release notesInteractive release notes"If you use this package, you will go straight to hell."Visit cupogo.dev for our website which has various hyperlinks to other websites and is made of mostly 1s and 0s. ★ Support this podcast on Patreon ★

This episode is sponsored by C1.ai! Thanks C1.ai for hosting the podcast and the meetup. C1.ai is hiring!Thanks James Heller for co-hosting

Today our hosts are joined once again by Shelby Pollard of Black Bobbin. He and Dan had some good conversations at Fretboard Summit in Chicago this past weekend, which meant it was high time for round two of Object Worship! They talk about the history of guitar manufacturing in Chicago, revisit the conversation of what makes a tele, discuss the symbiotic relationship between player and engineer, and Shelby encourages any and all of us to use these tools to make art in whatever form that takes. It's another good one full of facts Andy and Dan had never heard - hop on in! Check out the Black Bobbin Flat Iron: https://blackbobbin.com/collections/black-bobbin-flat-iron Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @blackbobbinchicago, @danfromdsf, @andyothling, @oldbloodnoise Leave us a voicemail at 505-633-4647!

#365: A bad engineer with a laptop is much worse than a bad engineer with a calculator. Now hand that engineer AI. DORA's ROI report puts it politely - AI without engineering excellence just scales your problems. Except it's not more of everything. It's more of whatever you were already doing, and there's a statistical chance that what you're doing is bad. Your agent already read your flaky tests and decided that's the house style. So what do you measure now? Viktor's answer: every technical metric you've got is gamed.   ROI of AI-assisted Software Development report https://dora.dev/ai/roi/report/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

How does React Native handle touch gestures? Robin and Tyler unpack PanResponder's callbacks, gesture state, and JavaScript-thread performance, plus why you'll still reach for React Native Gesture Handler.   Connect With Us! Robin Heinze: @robinheinze Tyler Williams: @coolsoftware.dev (Bsky) React Native Radio: @ReactNativeRdio   This episode is brought to you by Infinite Red! We're a fully remote team of 30 across the US. We've been building mobile apps for over a decade, with deep expertise in React Native and Expo. We adopted agentic coding early and use it where it meets our standards. When it isn't the right fit, our engineers rely on proven methods.  Working on something mobile? Tell us about it at infinite.red/radio.

How do entrepreneurs turn daily headaches into solutions that benefit an entire industry? In the world of angel investing, even the most tech-savvy find themselves wrangling gruesome spreadsheets and chasing down lost documents—begging the question: why are investors, of all people, stuck managing chaos with outdated tools? This episode features Zach Holman, one of GitHub's earliest team members and a prolific angel investor. After years of advising top startups and investing in hundreds of companies, Zach found himself wrestling with the same messy tracking problems plaguing countless others. Drawing on his unique background at the intersection of engineering, advising, and investing, he set out to build Signed—a modern platform purpose-built for angel investors to organize, analyze, and make sense of their portfolios. Listeners will hear firsthand how frustration with the status quo inspired Zach to create a tool he originally built just for himself, and which is now helping the broader investing community. From tracking investments and importing documents to handling the perennial headaches of taxes and K1s, the conversation dives into the nuts and bolts of managing a dynamic investment portfolio. This episode is a must-listen for anyone interested in the evolution of angel investing, practical founder stories, and the tangible ways entrepreneurship can transform pain points into much-needed innovation.   To get the latest from Zach Holman, you can follow him below! https://www.linkedin.com/in/zachholman/ https://signed.com/   Sign up for Marcia's newsletter to receive tips and the latest on Angel Investing! Website: www.marciadawood.com Learn more about the documentary Show Her the Money: www.showherthemoneymovie.com And don't forget to follow us wherever you are! Apple Podcasts: https://pod.link/1586445642.apple Spotify: https://pod.link/1586445642.spotify LinkedIn: https://www.linkedin.com/company/angel-next-door-podcast/ Instagram: https://www.instagram.com/theangelnextdoorpodcast/ TikTok: https://www.tiktok.com/@marciadawood

AI agents are moving from experimentation to execution, but what does that actually mean for the future of work? In this episode of That Tech Pod, Laura and Kevin sit down with Raj Chandrasekar, Chief Technology and Innovation Officer at Consilio, returning to the show after more than two years to discuss how the AI conversation has evolved from "Can we trust AI?" to "Can AI actually do the work?"Raj shares his perspective on the current state of AI agents, what separates true agentic systems from advanced chatbots, and why successful AI adoption depends as much on people and processes as it does on technology. The conversation explores the challenges organizations face as AI becomes more autonomous, including human oversight, hallucinations, AI governance, and the emerging question of whether AI agents will eventually need other AI agents to validate their work.They also revisit predictions from their previous conversation, discuss how AI is changing software development, and explore how leaders can determine when an AI agent is the right solution versus when traditional automation is the better answer.You can listen to Raj's previous episode here: https://podcasts.apple.com/us/podcast/this-valentines-day-fall-in-love-with-consilio-and-ai/id1559586772?i=1000645127580Raj Chandrasekar is Chief Technology and Innovation Officer of Consilio where he oversees Consilio's technology and innovation functions – merging Development and Engineering, Infrastructure, Security, Product Management, Business Intelligence, and Corporate Services functions.  In his role, Raj frequently interfaces with clients to understand and accommodate processing, security and uptime needs and is also responsible for the day-to-day operations of their industry-leading eDiscovery and legal industry software solutions.Raj has over 25 years of experience in the field of Software Development and Infrastructure Management and has held technology leadership positions in various large corporations.

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

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.

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 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.