Podcasts about Software development

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.

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:

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 of Supply Chain Connections, Brian Glick speaks with Pavel Kveten, CEO at Girteka Logistics, to dig into what it really takes to build and sustain culture at a major European asset-based trucking company. Pavel is one of those rare executives who spent his entire career at one company, and he has a lot to say about what that vantage point makes possible.Key topics discussed include: Why the gap between well-capitalized carriers and smaller operators is getting wider What the best supply chains do differently with carrier relationships, and why switching on price tends to backfire Girteka's operating model: control, discipline, and scale, and why scale alone isn't a competitive advantage Why culture is harder to fake in logistics than almost any other industry Brian's theory on what AI should actually change about shipment management, and whether Pavel agrees What Pavel says he's most afraid of (it's not making mistakes)Pavel Kveten is CEO of Girteka Logistics, a major European asset-based trucking and logistics company, with operations across the continent. He joined Girteka in 2011 and spent his entire logistics career there, moving through roles including COO and Chief Commercial Officer before becoming CEO in 2025. His focus today is on combining operational discipline with emerging technology to drive performance at scale.Discover Girteka LogisticsConnect with BrianFollow Chain.io on LinkedIn

In this episode of the Stress-Free Dentist Podcast, Dr. Eric Block sits down with Sergei Azernikov — Senior Vice President of Software Development at Glidewell Laboratories — whose path to dentistry ran through computer vision research at the Technion in Israel, a postdoc at the University of Michigan, and patient-specific device work on hearing aids and orthopedics at Siemens, before he joined Glidewell as the second member of a software team that now numbers around 200. The conversation traces Glidewell's early and unglamorous bet on artificial intelligence — a 2015–2017 collaboration with UC Berkeley, and founder Jim Glidewell personally reviewing crowns for hours a day to curate the training data — to where the company stands now: 100% of its crown designs are generated by AI, and a model update that once took months now takes about a week. Sergei and Dr. Block dig into the fast scan / fast mill chairside workflow, why crown proposals and margin detection keep improving, and the long-standing vision of a scan-to-seat process that ultimately becomes a single button click. The episode also looks ahead — to voice interfaces and virtual assistants in the operatory, to robotics and automated prepping (with a Tesla full-self-driving analogy for how trust builds over time), and to Sergei's bigger thesis: dentistry is missing a true software platform, a "Windows moment" or App Store that would let disconnected systems finally plug and play. They close with advice for the next generation — for dentists, "you cannot afford to stay"; for entrepreneurs, a historically underserved market that is wide open for anyone who can build the connective layer.

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.

Visit cupogo.dev for show notes, Patreon link, Swag, and more!

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.  

As the November 2nd UAD 3.6 mandate approaches, appraisers are facing important decisions about the tools they'll use moving forward. In this episode of the Appraisal Buzzcast, Hal sits down with Kim Angellone, Program Director at ACI, to discuss ACI Sky Workbench's recent verification by Fannie Mae and Freddie Mac for UAD 3.6 compliance. Kim shares insights into the verification process, what appraisers should know as the deadline nears, common misconceptions about UAD 3.6, and how technology is shaping the future of the appraisal profession. Don't miss this.Register for Valuation Expo here: https://www.valuationexpo.com/#registerAt The Appraisal Buzzcast, we host weekly episodes with leaders and experts in the appraisal industry about current events and relevant topics in our field. Subscribe and turn on notifications to catch our episode premieres every Wednesday!You can find the video version of this podcast at http://www.youtube.com/@TheAppraisalBuzzcast or head to https://appraisalbuzz.com for our breaking news and written articles. 

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 »

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 »

It's 2026. You're the CEO of a global bank or the Head of Surgery at a major hospital. An AI system looks at a complex set of volatile market data, or a patient's decade-long medical history, and gives you a directive. It doesn't just give you a percentage of probability. It tells you exactly what to do. But here is the catch: If that decision fails, "the machine told me so" won't hold up in court, in the boardroom, or at a patient's bedside. For a few years now, we've played a game of ‘black box' roulette, using AI that predicts the future based on the past. But in a world of sudden market shifts and unprecedented global change, the past is no longer a reliable map. We are entering the era of Automated Reasoning. This is the shift from AI that guesses to AI that proves. It's a market for explainable systems that is set to hit nearly ten billion dollars this year, doubling by 2032. Because today, leaders don't just need an answer; they need the logic behind it. They need a ‘glass box' they can trust. Scott Wiltamuth, Director of Software Development for Agentic AI and Automated Reasoning at AWS, alongside Mary Martin, Managing Director and Senior Partner at BCG and Varun Chitkara, Senior Vice President of Global Product & Technology at ADP join host Tom Parker. Sources: FT ResourcesThis content is paid for by AWS and is produced in partnership with the Financial Times' Commercial Department. The views and claims expressed are those of the guests alone and have not been independently verified by The Financial Times. Hosted on Acast. See acast.com/privacy for more information.

What can small language models teach us that the largest AI models cannot? Kelly and Julian are joined by Microsoft Cloud Advocate Gwyneth Peña-Sigüenza to explore why working with small language models (SLMs) may be one of the best ways to understand AI. Rather than relying on increasingly capable models that hide complexity, Gwyneth argues that constraints build stronger fundamentals. From prompt engineering and context management to deployment and security, SLMs force learners to think more carefully about how AI actually works. The conversation extends beyond AI models into learning itself. Gwyneth shares her self-taught journey from growing up on a remote farm in Ecuador with limited internet access to becoming a Microsoft Cloud Advocate and creator of the Learn to Cloud platform. Along the way, the group discusses productive struggle, mentorship, cloud engineering, Python, security, and what educators should prioritize as AI becomes part of every student's learning experience. The episode closes with a thoughtful discussion about AI dependency, judgment, and whether we would actually flip the switch and turn AI off if given the choice. Show Notes Wins of the Week Gwyneth celebrates the New York Knicks reaching the NBA Finals after more than 50 years. Julian shares that he has accepted a new role as a Fractional CTO. Kelly reflects on taking her first real vacation in over a year—and how stepping away from work sparked unexpected ideas. Small Language Models Why SLMs are valuable teaching tools Learning prompt engineering through constraints Running models locally on everyday hardware When local AI makes sense for classrooms Understanding tokens, context windows, and model limitations Why bigger models can sometimes hide important lessons Learning Through Constraints Learning to drive in an old manual pickup truck as a metaphor for learning AI fundamentals Why difficult learning experiences often create lasting understanding Building strong habits before relying on more capable tools Consistency versus constantly chasing the newest resource Self-Taught Learning Growing up without reliable internet in rural Ecuador Downloading YouTube playlists to learn programming offline Developing discipline through limited access The value of repetition and focused practice Why mentorship accelerates learning Python Journey Transitioning from cloud engineering to Python advocacy Learning Python beyond scripting Discovering what "Pythonic" really means Wrestling with list comprehensions and other advanced syntax Favorite learning resources: Fluent Python Effective Python Learn to Cloud Building an open-source cloud engineering curriculum Hands-on labs and automated verification AI-assisted assessment Supporting self-taught learners around the world Creating accessible technical education Cloud, AI, and Security Deploying AI applications to the cloud Containers, virtual machines, and serverless deployments Why operations and security deserve more classroom attention Introducing secure development practices early The importance of authentication, secrets management, and responsible deployment Teaching in the AI Era Helping students understand how AI works instead of simply using it Why productive struggle still matters The changing role of educators Balancing AI assistance with independent thinking Preparing students for a future where AI is always available Final Thoughts AI dependency versus capability Judgment as the skill that matters most Human connection in an AI-driven world Would we actually turn AI off? Finding balance between technological progress and intentional learning

Architectural Integrity in the Age of Algorithmic Code: Software Engineering and QA Governance with Konstantin KlyaginIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Konstantin Klyagin, the Founder of Redwerk, to deconstruct the operational liabilities introduced by the rapid adoption of AI-assisted coding tools. Konstantin, a veteran software architect with more than two decades of global technology experience spanning Ukraine, Western Europe, and the United States, shares a critical perspective on why speed should never be mistaken for stability in software delivery. This conversation provides an essential, engineering-focused blueprint for mid-market founders, enterprise product owners, and technical leaders who want to leverage advanced software automation while aggressively protecting their products against technical debt, architectural breakdown, and security vulnerabilities.The Code Optimization Paradigm: Mitigating Technical Debt with Rigorous Quality AssuranceThe widespread corporate directive to accelerate release cycles through generative artificial intelligence has inadvertently created an environment where companies routinely exchange long-term structural stability for immediate development speed. Konstantin Klyagin cautions that while algorithmic coding tools are highly effective for rapid prototyping and generating initial Minimum Viable Products (MVPs), they frequently output thousands of lines of bloated, inefficient, and brittle syntax that lacks any context regarding an enterprise's scaling requirements. When product teams deploy this machine-generated code directly into production environments without strict human review, they inherit severe administrative and technical debt that complicates future software updates and compromises system security. True enterprise scalability is achieved not by handing over core development to complete automation, but by enforcing rigid software architecture guardrails and treating artificial intelligence strictly as a baseline productivity assistant overseen by seasoned human engineers.Transitioning an organization out of reactive code patching requires an absolute commitment to formal Quality Assurance (QA) governance rather than treating software testing as a post-development afterthought. Many founders commit the costly mistake of using their own end-user base as the primary line of bug discovery, which introduces significant friction into customer-facing operations and quietly erodes long-term brand equity. Real-world capital optimization demands that software organizations build sophisticated internal or external manual and automated testing pipelines to evaluate edge cases, business logic compliance, and real-time drop-off analytics long before new features hit the market. For instance, rather than accepting automated outputs at face value, professional engineering teams systematically refactor code lines—frequently condensing massive, AI-generated structures into a few dozen clean, optimized scripts—ensuring the application remains stable under high user loads and protects its core margins.Furthermore, maintaining a premium digital footprint in a highly competitive market demands that corporate leaders balance software innovation with deliberate strategic focus and lifestyle resilience. Drawing from his global journey and personal dedication to demanding outdoor sports like kite surfing, Konstantin highlights that clear executive decision-making relies heavily on maintaining cognitive agility outside the office. When a technology enterprise pairs an advanced, multi-model tech stack with a transparent workplace culture and external diagnostic assessments—such as comprehensive, unbiased software audits—it successfully insulates its bottom line against changing algorithmic trends. Ultimately, permanent industry authority belongs to the organizations that treat software engineering as a strict corporate discipline, balancing backend automation loops with definitive human oversight to predictably scale enterprise value.About Konstantin KlyaginKonstantin Klyagin is the Founder of Redwerk and a premier global technology strategist with over 21 years of specialized experience in software architecture and legacy system modernization. Having successfully scaled complex development structures for international government agencies and award-winning enterprise clients, Konstantin now advises mid-market companies on technical execution and product management. He is a passionate advocate for continuous technical education and high-accountability engineering standards within the global developer ecosystem.About RedwerkRedwerk is an elite, full-service software development agency and technical advisory firm specializing in product engineering, legacy maintenance, and professional quality assurance for mid-market businesses. Operating with a dedicated team of over 90 technical professionals, the company bridges the gap between high-level business goals and technical execution across diverse markets. Through structured implementation playbooks and specialized software bug audits, Redwerk enables organizations to eliminate technical debt and predictably scale their digital infrastructure.Links Mentioned in This EpisodeRedwerk Official Website: redwerk.comKonstantin Klyagin on LinkedIn: linkedin.com/in/thekonstKey Episode HighlightsThe AI Bloat Trap: Understanding why over-reliance on generative coding tools introduces thousands of lines of brittle, unoptimized syntax into production environments.The Architecture Ownership Mandate: Why experienced human engineers must guide all core structural and scalability decisions independent of automated recommendations.The Failure of User-Led QA: Transitioning away from using your active client base as bug testers by installing internal manual and automated verification pipelines.Data-Driven Drop-Off Analytics: Utilizing behavioral tracking tools to precisely map user journeys and resolve technical bottlenecks within the application funnel.The Long-Tail Software Audit: Leveraging objective, third-party code reviews to identify hidden operational vulnerabilities and build credibility with investors.ConclusionThe conversation with Konstantin Klyagin reinforces that true software optimization is an intentional discipline built on clean engineering principles rather than automated volume. By standardizing internal corporate tech governance, enforcing rigorous human-in-the-loop quality assurance, and focusing ruthlessly on long-term architectural health, business leaders can transform a volatile software setup into a highly structured, self-sustaining corporate asset.More from The Thoughtful Entrepreneur

Proposal declined: drop gccgogaal — Keep skills in sync across AI agentsvscode-go 0.54.0 releasedgeneric methods in Go have been implementedNot everybody is happy about itInterview with Louis CeronaGenetec ★ Support this podcast on Patreon ★

Today our hosts tackle an all-timer of a question: what's the right number of knobs on a pedal? Stay tuned until the end to find out if they arrive at a definitive, unanimously agreed upon answer! They also talk a lot about Andy's exploration of the Chase Bliss Big Time, and take some listener calls. There's product development chat, time signature chat, listen it's just more chat from your favorite chatterboxes. 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!

Robin and Mazen unpack the rise of AI-powered security threats, from the TanStack breach to compromised React Native packages and GitHub supply chain attacks. Learn practical ways to secure your React Native apps, manage dependencies safely, and reduce risk in modern mobile development.   Show Notes Snyk: TanStack Compromised Wiz: Mini Shai-Hulud Strikes Again TanStack: Hardening Followup TanStack: Full Postmortem StepSecurity: Malicious RN Packages Metro4Shell CVE-2025-11953 JFrog: CVE-2025-11953 Deep Dive ReactCon Talk: Aleksandra Desmurs-Linczewska Matteo Collina: Why Trusted Publishing Can't Save Us npm Security Best Practices React Native Security Docs pull_request vs pull_request_target explained   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 episode 294 of our SAP on Azure video podcast we talk about Software Development Life Cycle at Microsoft with AI. I have always been pretty impressed by the way how Microsoft pushes the way how to develop forward. Especially when we look at the SAP world Microsoft is actually quite a big customer with hundreds of internal ABAP developers. In the past we already talked about how we do Software Development Life Cycle at Microsoft, but obviously AI is also becoming more and more important. So for today I am really happy to have Barb, Ryan, Tom and Joseph joining us today to tell us more how we do AI Powered SDLC at Microsoft!Find all the links mentioned here: https://www.saponazurepodcast.de/episode294Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Copilot #ABAP #SDLC

Gusto is betting that small businesses need more than another AI assistant. The company's new product, Gusto Cofounder, is designed to act as a proactive business partner that helps owners manage and grow their companies, drawing inspiration from the traditional mom-and-pop partnership that co-founder and CTOEddie Kimwitnessed growing up. Unlike reactive chatbots, Cofounder can take action across payroll, HR, benefits, scheduling, insurance, and accounting workflows by leveraging data already stored within Gusto. Users interact with the platform through text messages or Slack, while a consent framework ensures access to sensitive payroll and employee data remains tightly controlled. Businesses can grant explicit permissions and gradually increase autonomy as trust is established. The platform also integrates with third-party tools such as Google Workspace, enabling it to gather data, perform calculations, run payroll, and communicate results automatically. Kim said the product was built by a five-person team in just eight weeks using Claude Code, which he believes demonstrates how AI is expanding software creation beyond traditional engineering roles. Looking ahead, Gusto plans to add more integrations and eventually enable customers and developers to share reusable, industry-specific business automations. Learn more from The New Stack around how AI is expanding software creation beyond traditional engineering roles: How AI Is Reshaping Software Engineering: Key Takeaways From DeveloperWeek 2025 AI and the Future of Code: Developers Are Key The Engineer in the AI Age: The Orchestrator and Architect Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   

In this episode of Software People Stories, Gayatri Kalyanaraman sits down with Rajshri Kidambi, CEO of Radus Software LLC, for an inspiring and deeply personal conversation. Rajshri shares her journey from arriving in the United States as an H4 dependent to building a successful software company serving federal agencies for over two decades. Together, they discuss entrepreneurship, motherhood, Agile transformation, government technology, resilience, AI, and the power of taking calculated risks. A thoughtful conversation about leadership, growth, and creating impact that lasts.Timestamped Show Notes00:00 – Welcome to Software People Stories - Gayatri introduces Rajshri Kidambi, CEO of Radus Software LLC, and sets the stage for a conversation spanning technology, entrepreneurship, leadership, and life.00:57 – From Electronics Engineering to Software Development. Rajshri shares her early journey—from studying Electronics & Telecommunications Engineering in India to arriving in the U.S. on an H4 visa and transitioning into software development during the tech talent boom of the 1990s.02:38 – The Birth of Radus Software. After nearly a decade at CACI Federal, Rajshri realized she could build a company of her own. She discusses the decision to launch Radus Software and the motivation behind becoming an entrepreneur.05:43 – Discovering a Passion Beyond Programming. Moving from coding to customer interactions, Rajshri explains how becoming a subject matter expert and presenting software solutions to military stakeholders revealed her aptitude for business development and sales.07:18 – Overcoming Language and Confidence Barriers. Growing up in a Kannada-medium school, Rajshri initially struggled with confidence in professional communication. She shares how experience helped her overcome those challenges.09:11 – The Turning Point: Why She Started Her Own Company. Rajshri discusses seeing the value she created for her employer, understanding government contracting economics, and making the leap into entrepreneurship while raising young twins.11:28 – Motherhood, Career Pivots, and Personal Choices. An honest discussion on balancing career ambitions with family priorities, and why every woman's professional journey follows a different path.14:49 – Wearing Every Hat in a Startup. Rajshri reflects on the early years of Radus Software, where she managed accounting, invoicing, operations, contracts, and business development while learning entrepreneurship from the ground up.17:31 – Building Software for the U.S. Federal Government. Rajshri discusses her work across agencies including the Department of Defense, FAA, GSA, and NNSA, and explains how government technology modernization differs from the commercial sector.19:19 – Digital Transformation, Data Governance & SAM.gov. A look into large-scale government modernization initiatives, Agile adoption, business process automation, and the evolution of digital government platforms.22:48 – Agile, SAFE Frameworks, and Government Transformation. Gayatri and Rajshri compare experiences implementing Agile practices in government organizations and discuss the challenges of cultural transformation.26:01 – Working with Multiple Vendors on Large Government Programs. Rajshri explains the realities of delivering federal programs alongside large consulting firms, balancing collaboration, competition, and customer expectations.37:19 – Building Credibility as a Small Business. The journey from subcontractor to trusted prime contractor and the importance of past performance, reputation, and persistence in federal procurement.38:45 – The Highs of a 25-Year Entrepreneurial Journey. Rajshri shares one of her proudest moments—co-presenting with SAFE creator Dean Leffingwell and showcasing Radus Software's Agile product innovation.41:18 – The Lowest Point: Losing a Contract She Loved A deeply personal reflection on losing a major FAA contract after years of investment and how family support and lessons from the Bhagavad Gita helped her recover.45:06 – The One CEO Responsibility She Will Never Delegate. Why customer relationships remain the foundation of business growth and long-term success.47:15 – Looking Ahead: AI, Automation, and Agentic Systems. Rajshri discusses the future of AI, how tools like ChatGPT and Gemini are already changing the way people work, and the importance of governance and guardrails.50:52 – Human Intelligence in an AI-Powered World. A conversation about preserving critical thinking while embracing AI-assisted productivity.53:30 – Final Advice for Aspiring Entrepreneurs. Rajshri's closing message: take calculated risks, build something you care about, stay resilient, and enjoy the journey.55:44 – Closing Remarks. Gayatri wraps up the conversation and thanks Rajshri for sharing her story and insights.Memorable Quotes"If I can do it, anybody can do it.""Take calculated risks.""Relationships are what give you business.""You should be passionate, but not too attached to the outcome.""The future belongs to people who can work with AI, not compete against it." (paraphrased from discussion)Rajashri (“Raj”) Sankavaram, CEO Radus Software LLC, is the driving force behind the company's culture of excellence, integrity, and continuous innovation. With a strong background in quality management, program delivery, and organizational leadership, she has built Radus into a trusted federal and commercial partner known for precision, transparency, and reliability. Raj is the evangelist behind the creation of Metronome Orchestrated Agile®️, the company's flagship platform that unites human-centric design, compliance automation, and AI-assisted orchestration to simplify complex software delivery. Under her leadership, Radus has achieved recognition for its federal contracting excellence, delivering mission-critical solutions for agencies such as the IRS, FAA, NNSA, and DHA. Her emphasis on collaboration, mentorship, and quality-driven growth continues to shape Radus as a company that not only delivers outcomes but also builds enduring relationships grounded in trust and accountability. can be contacted at https://www.linkedin.com/in/raj-sankavaram-0947427/ 

OpenChoreo is an opinionated, “batteries included”, AI-native Kubernetes platform stack for Platform Engineers that combines GitOps, Observability, AI Agents, and Workflows into a custom K8s distribution “super pack” that is managed via Backstage, CLI, API, or MCP. Now a CNCF project.Check out the video podcast version here: 

What makes Chain React more than just another tech conference? Robin, Mazen, and Gant Laborde of Infinite Red share behind-the-scenes stories, community highlights, AI trends, and what React Native developers can expect at Chain React 2026.   Show Notes Chain React Conf 2026 (use code FRIENDS15) Food spots in Portland, OR   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.

In this episode, Python Developer Advocate and author Will Vincent joins the hosts to discuss the lasting appeal of Django, changes in how people learn web development, and the ways AI is reshaping software engineering. While modern AI tools can generate working code in seconds, Django's opinionated design and emphasis on maintainability help developers avoid many of the security and architectural problems that often emerge as projects grow. Drawing on his background as an educator, author, and Developer Advocate at JetBrains, Will shares his perspective on the challenges facing today's developers and computer science students. The conversation touches on "vibe coding," the misconception that a successful prototype automatically translates into a production-ready application, and the increasing burden AI-generated content is placing on open-source maintainers. Will also discusses the rise of specialized AI models, the importance of human trust in technical communities, and why foundational software engineering skills remain valuable despite rapid advances in AI tooling. Key Topics Covered Why Django Still Matters A look at why Django continues to be a strong choice for building production applications, even if it doesn't receive the same level of attention as newer frameworks. The Reality Behind "Vibe Coding" Exploring the gap between generating code with AI and understanding the systems, tradeoffs, and architecture required to build reliable software. Learning to Program as an Adult Will reflects on his path from book editing and startup leadership to becoming a self-taught programmer, educator, and author. AI and Programming Education A discussion about how AI changes the learning process, why fundamentals still matter, and how concepts like music theory can help explain the value of understanding code beneath the surface. The Growing Burden on Open Source How maintainers are dealing with an influx of low-quality AI-generated issues, pull requests, and content, and what that means for community-driven projects. Local and Specialized AI Models Why privacy concerns, lower inference costs, and better hardware may drive adoption of smaller, task-focused models rather than ever-larger general systems. Developer Concerns in the AI Era How engineers are responding to growing pressure from leadership teams eager to adopt AI, and what trends JetBrains is seeing across the developer ecosystem. Resources Mentioned LearnDjango, Will Vincent's platform for learning Django and web development. Hello World 5 Different Ways, a Django tutorial that introduces key concepts through practical examples. Django Chat, the podcast Will co-hosts covering the Django ecosystem and web development. Django News, a weekly newsletter highlighting updates from the Django community. JetBrains, the software development company behind tools such as PyCharm and IntelliJ IDEA.Special Guest: Will Vincent.

In this Mob Mentality Show episode, we join James Herr and Woody Zuill for a one-of-a-kind session James calls the "Hot Sauce Ensemble" — mob programming a video game from scratch in the Godot engine using AI, while eating escalating hot sauces every three-minute rotation. Fair warning to podcast listeners: this episode has a strong YouTube component. If things start sounding chaotic and spicy, that's because they are — jump over to YouTube to see what's happening on screen. James set up the session with Claude Code in VS Code (backed by Amazon Bedrock) and a blank Godot project containing only one asset: a hot sauce sprite generated by ChatGPT. From there, the mob navigated an AI coding agent through a real-time game build — adding player movement, landing explosions, and physics-based bell pepper enemies that scatter when stomped. The enemies were bell peppers specifically because Chris despises them. The hero is hot sauce. The logic is sound. Along the way, James introduced the "plate spinning" technique: opening multiple AI agents in parallel terminals so one prompt cooks while the mob drives another, keeping momentum even when AI responses run long. We dig into: How "Hot Sauce Ensemble" combines traditional mob rotations with escalating spicy food — and why it works as a team-building format Using Claude Code in VS Code with Godot to build a playable game from a blank project in real time The plate spinning technique: running multiple AI coding agents in parallel terminals to maintain flow Why the goal should be "effective," not "productive" — and how mob programming and AI tools both support that shift How AI procedurally generates game art assets (bell pepper sprites built from polygon shapes and shading) without any image generation tools Navigating an unfamiliar codebase and engine as a mob, using an AI agent as the technical guide What happens to your prompting quality when habaneros and The Last Dab are involved Hot sauce as a hero, bell peppers as villains: designing game mechanics around personal taste (literally) If you've ever wondered what mob programming looks like when applied to game development, AI-assisted coding, and competitive spice tolerance all at once, this episode delivers all three simultaneously — with physics.   References… James Herr's LinkedIn: [PASTE LINK] Woody Zuill's LinkedIn: [PASTE LINK] Godot Engine: https://godotengine.org/ Claude Code: https://www.anthropic.com/claude-code Mobster (mob timer): [PASTE LINK] Hot Sauces Featured… James: Hot Ones Apricot Sauce (#7), Hot Ones The Last Dab (#10) Woody: Taco Bell Hot Sauce, ~3 lbs pickled jalapeños (stuffed in a burrito) Chris: Fishwife Albacore in Spicy Olive Oil, Oni Yuzu Lemon Hot Sauce (Japan), Marie Sharp's Carrot & Habanero (2-habanero, 4-habanero Blazing Hot, and 5-habanero BEWARE) on a PB&J Thanks to G-SLiK (https://soundcloud.com/g-slik) for the intro and outro music. Chris Lucian and Austin Chadwick discuss all things #agile and product development from a #MobProgramming perspective. Chris Lucian is the Director of Software Development at Hunter Industries and a founder of mob programming. https://www.chrislucian.com/p/chris-lucian-biography.html Austin Chadwick is a Mob Programmer at Hunter Industries and is a passionate agilist and craftsman with experience in several roles (e.g. coach, developer, tester, scrum master, business analyst). https://www.linkedin.com/in/austin-chadwick-3a58151a4/ We would love your feedback and ideas for future episodes! Please add comments to the video or reach out to us on Twitter ( https://twitter.com/mob__mentality & https://twitter.com/ChristophLucian ). All statements and opinions expressed by Chris and Austin are solely their own and do not represent the views of any company. Chris and Austin are just sharing and not recommending ( https://justsharing.dev/ ).

In this episode of Zero to CEO, I speak with Technology and Operations Expert Issac Hicks about why most AI projects fail — and how entrepreneurs can be part of the small percentage that actually generate real returns. Issac breaks down the gap between AI marketing hype and operational reality, explains why nearly 95% of AI initiatives never make money, and shows what successful AI implementations really look like inside growing businesses. If you're tired of gimmicks and want to understand how AI can truly drive revenue, efficiency, and scale, this episode is a must-listen.

Join Tyler Wells, Co-founder and CTO of BrainGrid, for a forward-looking discussion on how artificial intelligence is rewriting the rules of product development. Boasting over 25 years of distributed systems engineering—including a foundational tenure at Skype building Facebook's first video-calling engine and 7+ years directing Video and global SRE at Twilio—Tyler has built infra where structural failure was not an option. In this episode, we explore why the traditional constraints of software engineering—headcount, timelines, and budgets—are dissolving, leaving a brand-new bottleneck at the front of the innovation cycle: human imagination.

Today our hosts talk about their favorite off-label uses for pedals: an Expression Ramper as an expression splitter, a trereo overdrive pedal as a lofi tape machine, a pedal with perfectly spaced knobs as a phone holder, etc. They take calls and some comments from the Discord, all focused around pedal usage that goes beyond the marketing and expectations of the user interface into unexpected sonic corners. Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @carolinegco, @danfromdsf, @andyothling, @oldbloodnoise Subscribe to OBNE on Twitch: https://www.twitch.tv/oldbloodnoise Leave us a voicemail at 505-633-4647!

Mazen and Robin welcome Gant Laborde of Infinite Red to discuss AI Triforce, a practical framework for AI-powered software teams. They explore agentic coding, governance, testing, code quality, and emerging engineering roles that help teams move faster with AI while maintaining scalability, reliability, and long-term maintainability.   Show Notes AI Triforce announcement   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.

In this episode of Elixir Wizards, hosts Charles Suggs and Emma Whamond sit down with Marek Šuppa, creator of the Missing GitHub Status page, a project that reconstructs GitHub's historical uptime data and reveals discrepancies between official status reporting and the platform's actual reliability. Marek tells us about his dev journey from open source contributor at DuckDuckGo to machine learning engineer at Cisco-acquired Slido. Then, we discuss GitHub's evolution from a hosted Git service into a critical developer tool. We cover reliability, transparency, AI-driven platform growth, developer workflows, and the challenges of balancing convenience with resilience. Along the way, we cover alternative platforms, self-hosted solutions, and whether recent outages are changing how developers think about ownership, dependency, and the future of software collaboration. Topics Discussed in this Episode: Why did Mr. Shu create the Missing GitHub Status Page? GitHub's reported uptime versus developer experiences How open source contributions shaped Marek's career The evolution of GitHub from tool to critical infrastructure Centralization risks in modern software development Git's distributed roots and today's platform-centric workflows Developer reactions to GitHub outages Transparency and accountability in status reporting AI's impact on developer platforms and infrastructure demands Microsoft's stewardship of GitHub Forgejo, Codeberg, and alternative Git hosting platforms Self-hosted Git solutions and tradeoffs Network effects and platform lock-in The social side of software collaboration Building resilience into developer workflows What GitHub outages teach us about infrastructure dependency Links Mentioned: The Missing GitHub Status Page https://mrshu.github.io/github-statuses/ Slido https://www.slido.com/ https://duckduckgo.com/ The official GitHub Status Page https://www.githubstatus.com/ Statuspage.iohttps://www.atlassian.com/software/statuspage Zig Leaves GitHub https://ziglang.org/news/migrating-from-github-to-codeberg/ Ghostty Leaves GitHub https://mitchellh.com/writing/ghostty-leaving-github GitLab https://about.gitlab.com/ Codeberg https://codeberg.org/ https://git.kernel.org/ Forgejo Lightweight Self-Hosting https://forgejo.org/ Former GitHub CEO Thomas Dohmke launches Entire https://entire.io/news/former-github-ceo-thomas-dohmke-raises-60-million-seed-round Update on Spain and LALIGA blocks of the internet https://vercel.com/blog/update-on-spain-and-laliga-blocks-of-the-internet

GoConf, Sept 11 & Moscow, RussiaCFPProposalsAccepted: Formal GODEBUG removal policyNew: Allow explicit conversion from function to 1-method interfaceBlog: The 10 Go Error Handling Commandments by Preslav RachevLearn Logging & Observability in Go @ boot.dev, use code CUPOGO to save 25%Video: Practical Go Development with AI Agents by Miki TebekaBlog series: Understanding the Go Runtime by Jesús Espino ★ Support this podcast on Patreon ★

Kelly talks with Philip Guo, creator of Python Tutor, about how the tool helps students trace code and understand programming basics. They also discuss the challenges AI-generated code creates in the classroom and possible ways to support student learning. *Wins of the Week * Philip: Hiring a second undergraduate student for Python Tutor, including one focused on user experience research with K-12 teachers Kelly: Finishing a year of in-person teacher trainings and reflecting on how far the teachers have come *AI, Coding, and Classroom Understanding * Much of the conversation focuses on how AI-generated code affects student learning. Kelly describes using AI code with eighth graders and how difficult it can be for them to understand functions, parameters, returns, and other fundamentals when the code is generated all at once. Philip suggests that tools like Python Tutor may be useful for helping students trace code and understand what is happening behind the scenes. Python Tutor and Possible AI Features Philip explains that Python Tutor currently visualizes execution and has an AI chat feature that can answer questions about code and errors. They discuss possible future features, including simplified AI-generated examples, alternative execution views that show only the lines actually run, and more guided inline help tied to specific code or variables. Oral Explanations and Assessment Kelly describes using a Socratic-style code review with students, where they discuss code aloud in groups. They also talk about using spoken explanations or short oral assessments to check whether students can really explain what code is doing, rather than just copying or prompting AI-generated answers. Broader Research and “Beyond the Desk” Philip briefly discusses a new research direction with a PhD student focused on AI support for work beyond the desk, including physical and embodied tasks in science labs and fieldwork. He says this differs from desk-based AI work and involves activities that are harder for current AI systems to support. **Chapters **0:25 Python Tutor and AI Learning 1:55 Hiring Help for Python Tutor 4:07 Classroom Wins and AI Reflections 6:11 Teaching Code Through Python Tutor 9:03 AI Code and Student Confusion 14:11 Simplifying Execution Traces 17:19 Functions Are the Hard Part 20:25 Keeping Fundamentals in AI Era 24:25 Socratic Seminars for Code 26:27 Voice-Based Code Thinking 29:27 Learning Beyond Lockdown 36:10 Prompting as a New Skill 36:25 Hardware Troubles and NeoPixels 40:15 Beyond the Code Editor 45:01 New Research on Embodied AI 49:12 PyCon and Community Plans 50:42 Teacher Call to ActionSpecial Guest: Philip Guo.

Today our hosts welcome Philippe Herndon of Caroline Guitar Company. He talks about their latest pedal, a self-proclaimed normie pedal called the Aaron Graves Overdrive. We talk about specific design choices, the story of its namesake, and the importance of versatility even in a fairly fundamental pedal. Plus, we get the scoop on why they use pictures instead of labels, and Philippe has a surprise for us in lieu of the traditional object talk. It's basically a two parter, so fire it up and get listening! Check out the Aaron Graves Overdrive and other pedals from Caroline: https://carolineguitar.com/ Buy some Old Blood: https://oldbloodnoise.com/ Join the conversation in Discord: https://discord.com/invite/PhpA5MbN5u Follow us all on the socials: @carolinegco, @danfromdsf, @andyothling, @oldbloodnoise Subscribe to OBNE on Twitch: https://www.twitch.tv/oldbloodnoise Leave us a voicemail at 505-633-4647!

Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect) of RocketRide join the MLOps Community to walk through AIDE — the AI Integrated Development Environment. RocketRide is an open-source AI pipeline platform that lets developers build, debug, and run production-grade agentic AI workflows directly from their IDE, with support for 13+ LLM providers, 8+ vector databases, and full multi-agent orchestration.AI Is Fast. AI Projects Are Slow. Let's Fix That. // MLOps Podcast #378 with JRocketRide's Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect)A huge shout-out to  ⁨RocketRide⁩  for this collaboration!

In this episode of Elixir Wizards, hosts Charles Suggs and Emma Whamond sit down with Saša Jurić, Elixir mentor and author of Elixir in Action, to discuss software craftsmanship in the age of AI. As AI coding tools become increasingly capable, Saša argues that the real challenge isn't generating code, it's maintaining quality, clarity, and shared understanding within a codebase. We explore the difference between correct code and good code, and why code is more than a set of instructions for a machine to execute. Code is also documentation, communication, and a long-term investment that future developers must be able to understand and maintain. Saša shares his concerns about the growing "theater of pull requests," where teams go through the motions of code review without creating meaningful opportunities for learning, feedback, or knowledge sharing. The hosts and Saša talk about practical ways to work effectively with AI, including taking smaller steps, carefully reviewing AI-generated code, and using AI as a collaborative tool rather than an autonomous developer. Throughout the discussion, Saša challenges the industry's obsession with speed and makes the case that the principles of good software development (incremental progress, clear communication, and human judgment) remain important in the age of AI. Key Topics Discussed The difference between correct code and good code Code as communication, documentation, and shared understanding The "theater of pull requests" and ineffective review practices How AI is changing software development workflows Using AI as a collaborator rather than a replacement Why smaller, incremental changes lead to better outcomes Human oversight in AI-assisted development Balancing development speed with maintainability Pull request size and review effectiveness Commit history as a tool for storytelling and context The risks of accumulating technical debt faster with AI Testing and validating AI-generated code Refactoring AI-generated solutions for clarity Applying agile principles to AI-assisted workflows The role of experience and judgment in software design Why software craftsmanship still matters in the age of AI Links mentioned Code Complete by Steve McConnell https://khmerbamboo.wordpress.com/wp-content/uploads/2014/09/code-complete-2nd-edition-v413hav.pdf Harness AI for DevOps, Testing, and AppSec https://www.harness.io/ Claude Code https://claude.com/product/claude-code Claude Code GitHub https://github.com/anthropics/claude-code Pull Request for Oban https://github.com/oban-bg/oban/pull/331 SMPP https://en.wikipedia.org/wiki/Short_Message_Peer-to-Peer OpenAI Codex https://chatgpt.com/codex/ Opus AI https://opus.ai/ Tidewave https://tidewave.ai/ Credo Static Code Analysis https://github.com/rrrene/credo https://smartlogic.io/podcast/elixir-wizards/s11-e09-static-code-analyzer-elixir-credo-ruby-rubocop/ Link to Sasa's X post https://x.com/sasajuric/status/2029522378196238503 Saša Jurić “Tell Me A Story” at Goatmire https://www.youtube.com/watch?v=GOrKfCs-mr0 https://meks.quest/blogs/the-theatre-of-pull-requests-and-code-review Looks Good to Me: Constructive Code Reviews by Adrienne Braganza https://www.manning.com/books/looks-good-to-me Towards Maintainable Elixir: Testing https://medium.com/very-big-things/towards-maintainable-elixir-testing-b32ac0604b99 TDD, Where Did It All Go Wrong (Ian Cooper) https://youtu.be/EZ05e7EMOLMSpecial Guest: Saša Jurić.

AI is everywhere. A lot of companies are not only providing AI to their developers, they are forcing their developers to use AI constantly. This puts your career in extreme danger. So, how can you protect your career? How can you ensure that AI doesn't ruin your career? 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/

Brent Peterson and Paul Byrne discuss the near future of AI, particularly its implications for software development and coding. Paul shares insights from his new book 'Adapt or Die', focusing on the different types of AI learning, the importance of human oversight in AI applications, and the challenges faced in integrating AI into development processes. They explore the democratization of coding through AI tools, the economic implications for software agencies, and the future trajectory of AI technology.TakeawaysAI is currently limited to type one learning, which is reactive.Type two learning in AI requires reflective thinking and goal-seeking capabilities.Human oversight is crucial in AI applications to handle exceptions and ensure quality.AI tools can significantly speed up development processes but cannot replace human developers.The democratization of coding allows non-technical individuals to engage in software development.AI's limitations can lead to wasted resources if not properly understood.The economic model for software development may shift towards fixed pricing due to AI efficiencies.AI can handle tedious tasks, freeing up developers for more complex work.The future of AI may involve running models on local machines for better control and privacy.Continuous adaptation to AI advancements is necessary for developers and agencies.Chapters00:00 Introduction to AI and E-commerce02:46 Understanding AI Learning Types05:27 AI in Development: Tools and Use Cases07:58 The Role of Humans in AI Workflows10:59 Challenges and Limitations of AI13:50 Future of Software Development with AI16:17 The Democratization of Coding19:07 Economic Implications of AI in Development21:51 Closing Thoughts and Book Promotion

In this episode, Rob Moffat, author of Risk-First Software Development and chief technical architect at the FinTech Open Source Software Foundation (FINOS), speaks with host Brijesh Ammanath about how all of software development is actually risk management. Rob introduces the concept of 'risk-first software development,' which sits in the context of existing methodologies like scrum and kanban. Showcasing multiple real-world project patterns to illustrate how things can go wrong when risk is ignored, he makes the case for why risk should be the primary lens behind every development decision, from architecture to prioritization. Through various examples, he shows how every developer action can be viewed as a risk trade-off and why making that explicit can lead to better outcomes. The conversation takes a deep dive into the risk-first framework and how teams can apply it in their existing processes.