Root Cause

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Everyone talks about the future of tech. Few talk about the consequences. ROOT CAUSE brings together senior operators. Engineers, DevOps leaders, founders, former CTOs. To dissect the real stories behind big technical decisions. What happens after the migration? After the pivot? After the AI integration? Our show is dedicated to answering what nobody tells you about scaling systems, what nobody tells you about leadership or the vicious hype cycles. If you’ve built, broken, fixed, and rebuilt systems at scale, this show is for you. Let’s root cause this.

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  1. 4 sa. önce

    Root Cause of Where You Are on the AI Spectrum

    In this episode of Root Cause we sit down with Evan Marshall, co-founder and CTO of Ito.ai, to get to the root cause of where the honest answer sits on the AI adoption spectrum, somewhere between the teams that won't let AI near their codebase and the ones that let it ship with barely a human in the loop. Most of us are somewhere in the middle, moving around and quietly wondering if we've got it right. This conversation is meant to help you gauge where you actually are, and where you want to be. Evan studied computer science at MIT and spent four years building privacy infrastructure for zero-knowledge blockchains, where a slipped bug is a disaster. That experience pushed him toward quality: he now builds a QA agent that actually runs your application and checks the code before it merges. We dig into the pressure on Bay Area companies to claim a "software factory" while their engineers might still be shipping like everyone else, why free code generation can at most double you if coding was half your job (and it never was), and the plastic age of coding, where code is generated to be thrown away. Evan shares what a sane monthly AI spend actually looks like and his advice for integrating AI into your software development lifecycle: treat the SDLC as an optimization problem, because once generation is free, the bottleneck moves to verification and quality control. And when someone says "I can just do that with Claude Code", the work that follows is environments that have to heal themselves, caching that breaks on the next migration, and memory layers. As Evan puts it: we spent the tokens so you don't have to. 00:00 Pre-show Banter and the Cats 00:59 Introduction of the Episode and the Guest 03:00 Is the Bay Area Really an AI Echo Chamber? 05:45 The Pressure to Claim a Software Factory 07:36 How Much Does AI Actually Speed You Up? 10:23 How Ito Uses AI in Its Own Engineering 14:13 The Plastic Age of Coding 15:53 Can the Software Factory Be Productized? 18:39 Subscriptions vs API: The Real Cost of Tokens 20:19 Open Models and Switching Between Them 21:25 Are the Models Plateauing? 22:59 "I Can Just Use Claude Code": Where the Hard Parts Hide 26:19 The Bottlenecks You Don't See: Environments, Caching, Memory 28:55 Will QA Engineers Be Replaced? 31:39 Replicators, Waymos, and 3D Printers: Why Change Takes Time 36:49 Why SaaS Isn't Dead and How Much You Should Spend 39:23 Advice for Integrating AI into Your SDLC 42:50 Question from Barry O'Reilly: Building a Computer in 1822 44:31 Shared Reality, Social Media, and Cooperation 50:25 Book Recommendations 53:54 Question for the Next Guest and Closing Find Evan at: • LinkedId: https://www.linkedin.com/in/evan--marshall/ • his startup - https://www.ito.ai/ Find me (Nune) at: LinkedIn: https://www.linkedin.com/in/nisabek/ Substack: https://www.thoughtfultechnologist.com/

    Root Cause of Where You Are on the AI Spectrum

  2. 13 Tem

    Root Cause of Architectural Thinking

    In this episode of Root Cause we sit down with Barry O'Reilly, 25 years in software architecture, former chief architect at Microsoft, startup CTO, and the creator of Residuality Theory, to get to the root cause of what senior architects actually do when they say they run on gut feeling. When Microsoft asked Barry to teach junior architects how he did his job, he discovered he couldn't describe his own methods, and neither could any of the senior architects he asked. That frustration turned into two books and a PhD in complexity science. We dig into why a random simulation of stress produces architectures that survive events nobody predicted, why equirements and risk management quietly limit the very thinking they were supposed to support, why our industry spreads ideas through charisma instead of scientific proof, and whether an LLM can ever produce an architecture. If you've ever been told "that's just experience," this episode puts words on it. 00:00 Cold Open: The Architect vs the Implementer 02:06 Guest Introduction: Structuring the Magic 03:00 Pure Mathematics: Help or Trap? 06:20 Think Less, Do More? The Industry's Thinking Problem 09:09 Why Software Isn't Developing as a Science 12:26 Pop Culture, Gurus, and the Hype Machine 15:09 "My Industry Is Low Stakes": Why Quality Still Pays 17:54 Two Books That Decide If You're an Architect 22:09 Creativity vs Craft: Naming the Magic 25:39 Residuality Theory: The Marbles Analogy 31:59 How to Start: The Naive Architecture and Random Stress 36:35 Attractor States: Why Stressing Works 39:30 All Architecture Is Stress 44:14 The Trouble with Non-Functional Requirements 48:49 Should Architects Become Domain Experts? 52:02 Does This Apply to Small Systems and Startups? 57:36 Answering the Critics: "We've Always Done This" 01:01:28 Stressor Analysis: Architecture Never Stops 01:04:57 Shared Language and Reflective Practice 01:07:04 Has AI Made Code Cheaper? 01:12:54 Can LLM Agents Do Residuality? 01:18:43 The Walk Around the Problem Is the Point 01:20:40 First Steps into Residuality 01:25:18 Book Recommendations 01:29:39 A Benign Pride: Fly Fishing at 34 Meters 01:32:01 Question for the Next Guest and Closing Find Barry at: • LinkedIn: https://www.linkedin.com/in/barry-o-reilly-b924657/ • Barry’s first book: https://leanpub.com/residuality • Barry’s second book: https://leanpub.com/architectsparadox • The intro talk you should watch: https://www.youtube.com/watch?v=_MPUoiG6w_U Find me (Nune) at: * LinkedIn: https://www.linkedin.com/in/nisabek/ * Substack: https://www.thoughtfultechnologist.com/

    Root Cause of Architectural Thinking

  3. 29 Haz

    Root Cause of a Healthy Team

    In this episode of Root Cause we sit down with Eric Lubow, a CTO who treats organizations like distributed systems, which means the root cause of a broken team is usually a design problem, not a people problem. Eric has spent more than 20 years building and repairing teams and platforms, from co-founding SimpleReach to running engineering through dozens of acquisitions at Thrasio, and he is now Chief Product and Technology Officer at Mapp. He is also a jiu-jitsu coach, and that shapes how he leads. We get to the root cause of what actually makes a team healthy, why becoming a manager means changing your definition of done, and why ceding control is the part nobody warns you about. We talk about leading AI agents the way you would lead a person, why silent heroes quietly turn into silent burnouts, and how to hire into a team instead of into a vacuum. Honest and specific, with none of the leadership-content platitudes, including the lonely parts of the job most people at the top never say out loud. 00:00 Introduction: What Makes a Healthy Team 03:05 Jiu-Jitsu, Languages, and a Healthy Ego 08:23 Martial Arts, Balance, and "Everything Is Maintenance" 13:12 Teams as Distributed Systems and Conway's Law 16:38 The IC-to-Manager Transition: Ceding Control 19:10 Delegation and a New Definition of Done 22:24 Giving Away Your Legos 23:49 Can You Learn to Be a Manager? 25:21 Don't Just Become the Opposite of Your Bad Manager 27:54 Leading AI Agents Like You Lead People 31:55 Will AI Replace People? Force Multiplier, Not Replacement 36:45 What Actually Makes a Team Healthy 38:56 Adoption Curves and Why Teams Mimic Leaders 42:06 A Culture of Sharing vs Shadow IT and Shadow AI 47:41 The Hero Problem: Silent Heroes, Silent Burnout 53:20 Burnout, Boundaries, and Trusting the Team 55:33 Hiring Into a Team, Not a Vacuum 1:02:15 The Loneliness of Leadership 1:06:48 Why "I Don't Know" Is a Sign of Strength 1:09:13 Book Recommendations: Sci-Fi and Leadership 1:13:49 What Eric Would Tell His Younger Self 1:15:45 The Most Benign Thing You're Proud Of Find Eric at: • Linkedin: https://www.linkedin.com/in/eblubow/ • His blog: https://eric.lubow.org (which heavily influenced this episode) • Beyond the Belt podcast: https://www.youtube.com/@beyondthebeltpod Find me (Nune) at: LinkedIn: https://www.linkedin.com/in/nisabek/ Substack: https://www.thoughtfultechnologist.com/

    Root Cause of a Healthy Team

  4. 22 Haz

    Root Cause of Solopreneur Success: Before, During, and After AI

    In this episode of Root Cause we sit down with Orel Zilberman, the solo builder behind WriteStack, the biggest tool out there for Substack creators. Orel spent 599 days shipping around ten products that made zero dollars, then picked one thing, stuck with it for six months, and turned it into a six-figure business. He has lived three versions of solo building in three years: before the current AI tooling, as it arrived, and now. We get to the root cause of what AI actually changed for one-person companies and what it didn't. Building got faster, but knowing what to build, and sticking with it long enough to find out if it works, is exactly as hard as it always was. Honest and unfiltered, including the messy parts most "become an entrepreneur" content leaves out. 00:00 Introduction to Root Cause and Solo Building 04:57 The Journey of Building WriteStack 06:42 What is SubStack and WriteStack? 09:28 "Why Bother" if the platform / big players will replace you 13:14 "Why bother" if AI will replace all SaaS 14:46 Knowing WHAT to Build and How to Distribute 18:30 Finding the Right Idea to Stick With 23:22 Learning from Opportunities and Failures 26:10 Navigating the Cold Start Problem 28:10 Leveraging AI Tools for Productivity 30:49 The Future of Software Engineering in the Age of AI 33:53 Advice for Aspiring Entrepreneurs 37:20 Being Better Than Most 38:49 Book Recommendations and Lifelong Learning 41:04 Reflections on Education and Career Choices Find Orel at: • His product - https://www.writestack.io/  • His journey - https://theindiepreneur.substack.com/  • Substack notes analysis - https://thewritingedge.substack.com/ • Substack profile - https://substack.com/@orelzilberman Find me (Nune) at: LinkedIn: https://www.linkedin.com/in/nisabek/ Substack: https://www.thoughtfultechnologist.com/

    Root Cause of Solopreneur Success: Before, During, and After AI

  5. 9 Haz

    The Root Cause of Wanting to Learn

    In this episode of Root Cause we sit down with Ia Mg - seasoned engineer, former CS and digital literacy teacher at the Free University of Tbilisi, and the author of the blog Bits Complicated - to get to the root cause of learning itself, and whether the machines we've built are about to make us better at it or worse. We dig into why everyone should understand technology even if they never write code, why domain knowledge has always mattered more than programmers wanted to admit, and what happens to learning when the answer is always one prompt away. Along the way: tech debt as a tax instead of a failure ("legacy as a service"), the "learning debt" that builds every time you accept a ready-made answer, why conversation-based coding is a process problem and not just an output problem, and why learning might be the most rebellious thing you can still do for yourself. 00:00 Guest intro and episode goal 02:45 Teaching Programming to Non-Coders 04:13 The Importance of Technology Literacy 09:41 AI and the Future of Programming 16:10 AI as a Teacher of Programming 22:16 Evaluating AI Responses in Learning 26:49 Concerns About the Next Generation 30:08 AI as an Abstraction in Programming 33:40 Conversational Development vs. Traditional Coding 37:34 Understanding Tech Debt 42:09 Learning Debt in the Age of AI 45:06 AI is the next social network? 46:47 Embracing the Chaos of Innovation 47:59 The Joy of Coding vs. AI 53:22 Navigating the Job Market in Tech 57:30 Book Recommendations 01:02:08 Summary of the Discussion 01:02:41 Learning as a Rebellious Act 01:04:09 Practical Recommendation on using AI consciously 01:06:21 Engineering is more than coding Find Ia at:  Blog: https://iyamg.com/bitscomplicated/LinkedIn: https://www.linkedin.com/in/ia-mgvdliashvili-0b459768/  Find me (Nune) at: Blog: https://www.thoughtfultechnologist.com/ LinkedIn: https://www.linkedin.com/in/nisabek/

    The Root Cause of Wanting to Learn

  6. 26 May

    The Root Cause of Never Learning

    In this episode of Root Cause we sit down with Adrian Hornsby — former AWS Principal Engineer, founder of Resilium Labs, and author of Why We Still Suck at Resilience — to get to the root cause of what's quietly breaking inside engineering organizations as AI absorbs more of the thinking. We dig into the gap between how we imagine our systems work and how they actually work, why that gap is where all the real learning lives, and what happens to a team when the thinking itself gets delegated to something that sounds confident but doesn't know which walls are load-bearing.  00:00 Pre-show Banter and the Dog 01:08 Introduction of the Episode and the Guest 05:00 What's Wrong with the Name of the Show 07:35 The Importance of Learning from Successes 09:53 Defining Work as Imagined and Work as Done 13:43 Leading vs Being Hands-On 28:49 Learning From the Gap 30:39 Chaos Engineering 31:31 Load Testing 32:50 Game Days 34:00 ORRs - Operational Readiness reviews 34:41 Learning From the Incident 36:25 How AI has Affected the Gap 41:57 Navigating the Complexity of AI Delegation 43:45 Skill Atrophy and the New Generation of Engineers 47:12 Building Tools That Keep You Smart 52:18 We Need a Crisis to Slow Down 58:30 Building Intuition in AI-Driven Systems 01:03:17 The Human Touch in Technology 01:07:32 Facing Fears and Embracing Change 01:16:28 Question for the Next Guest and Closing Adrian has generously decided to run a discount with the promocode “rootcausebynune” - for the first 30 copies you can buy his book for as low as 14.99 - that’s over 70% discount over the suggested price! https://leanpub.com/whywestillsuckatresilience/c/rootcausebynune  Find Adrian at: Resilium Labs: resiliumlabs.comLinkedIn: https://www.linkedin.com/in/adhorn/ Substack: https://newsletter.resiliumlabs.com/Find me (Nune) at: LinkedIn: https://www.linkedin.com/in/nisabek/ Substack: https://www.thoughtfultechnologist.com/

    The Root Cause of Never Learning

  7. 11 May

    Who's Speaking for the Experts?

    In this very first episode of Root Cause we sit down with Marc Babin - an award-winning digital marketing professional and creator of over a dozen of podcasts - to get to the root cause of personal branding - why it matters more than ever and how a busy professional who doesn't like the empty talks can survive the content noise and still make themselves visible. 00:00 Show and Guest Introduction 02:54 The Value of Authentic Content in a Noisy World 06:18 AI and Content: Good Authentic Content is King 09:47 Reel-Thinking vs Podcast Creation 13:57 Creating Engaging Content in Niche Markets 18:14 Sales vs. Marketing: Building Trust Through Content 22:02 The Long Game in Content Creation 25:48 Personal Branding in the Digital Age 28:28 Setting Up for Success in Content Creation 33:05 Overcoming Perfectionism in Content Creation 38:27 Embracing the Silence of Early Content 43:29 Navigating Privacy and Online Presence 48:36 The Discomfort of Starting 53:14 The Root Causes of Expert Silence 57:53 How to Start Creating Content 01:00:30 Question for the Next Guest and Closing Follow Marc Babin: LinkedIn - https://www.linkedin.com/in/babinmarc/ The Podcast Blueprint Website - https://www.yourpodcastblueprint.com/ The Podcast Blueprint LinkedIn Page - https://www.linkedin.com/company/podcast-blueprint/ Additional Material mentioned in the episode: The Podcast Consumer 2025 report from Edison Research - https://www.edisonresearch.com/wp-content/uploads/2025/07/The-Podcast-Consumer-2025-revised-FINAL.pdf Read People Like a Book: How to Analyze, Understand, and Predict People’s Emotions, Thoughts, Intentions, and Behaviors By Patrick King - https://www.goodreads.com/en/book/show/56199402-read-people-like-a-book

    Who's Speaking for the Experts?
  • 7 Bölüm

Hakkında

Everyone talks about the future of tech. Few talk about the consequences. ROOT CAUSE brings together senior operators. Engineers, DevOps leaders, founders, former CTOs. To dissect the real stories behind big technical decisions. What happens after the migration? After the pivot? After the AI integration? Our show is dedicated to answering what nobody tells you about scaling systems, what nobody tells you about leadership or the vicious hype cycles. If you’ve built, broken, fixed, and rebuilt systems at scale, this show is for you. Let’s root cause this.

Bilgi

  • Yaratıcı
    Nune
  • Aktif Yıllar
    2026
  • Bölümler
    7
  • Sınıflandırma
    Uygunsuz
  • Telif Hakkı
    © 2026 Nune
  • Şovun Web Sitesi
    Root Cause