Tech Lead Journal

Why do 70% of change efforts fail — even when leadership is fully committed? The answer isn’t strategy or resources; it’s the hidden stories people unknowingly carry that silently block every initiative.In this episode, Ronica Roth, author of “Practice Makes Culture” and co-founder of The Welcome Elephant, shares a practical framework for creating lasting organizational change. Drawing on 25 years of experience helping teams and companies transform, she explains why culture declarations and vision speeches alone never work — and what leaders at any level can do instead. Ronica introduces the concept of “welcoming elephants” — the emotional, systems, and room elephants that surface whenever change is attempted — and why acknowledging them is the first step toward real progress. She also unpacks why most culture lives beneath the surface, in hidden stories that employees carry without realizing it, and how those stories quietly undermine even well-designed initiatives.The conversation covers how to build psychological ownership so people invest in change rather than just comply with it, and why small, intentional daily practices — not grand overhauls — are what actually shift culture. The discussion also touches on applying these principles to AI transformation, where the emotional stakes are especially high and the hidden stories especially loud.Key topics discussed:Why 70% of change efforts fail — and what to do about itThe three types of “elephants” blocking organizational changeHidden stories: the invisible force sabotaging your cultureWhy declaring a new culture is necessary but not sufficientHow to create psychological ownership (not just buy-in)Using meetings as a daily practice for cultural changeLeading AI transformation with vulnerability and structureThe WOOP method for making personal behavior change stickTimestamps:(00:00:00) Trailer & Intro(00:02:43) Why Ronica Write a Book About IT Culture?(00:05:14) What Are the Three Types of Elephants That Hold Organizations Back?(00:11:05) Why Do 70% of Change Efforts Fail?(00:15:45) How Does Ronica Define the Different Layers of Culture?(00:20:57) Why Is Declaring a New Culture Necessary But Not Sufficient?(00:23:12) What Are the Three Pillars of Your Cultural Transformation Framework?(00:39:28) How Can You Turn Meetings Into a Daily Practice for Cultural Change?(00:48:51) How Can Leaders Address the Emotional Elephant of AI Transformation?(00:56:13) Can You Apply These Culture Change Principles to Personal Growth?(01:02:06) What Are the Five Culture Hacks for Scaling Cultural Impact?(01:04:49) 3 Tech Lead Wisdom_____Ronica Roth’s BioRonica Roth is a transformation expert dedicated to revolutionizing how organizations work. As cofounder of The Welcome Elephant consultancy, she helps leaders build thriving cultures where both business results and human potential flourish. With deep expertise in product management, business agility, and organizational change, Ronica brings a unique perspective shaped by her certification as a Leadership Circle® practitioner and her distinguished background as a Certified Scrum Trainer Emeritus. Her approach is informed by an MS in Journalism from Northwestern University and enriched by her earlier career in newspapers, giving her exceptional skills in storytelling and communication crucial for effective organizational change.Follow Ronica:LinkedIn – linkedin.com/in/ronicaroth Practice Makes Culture – itrevolution.com/product/practice-makes-cultureThe Welcome Elephant – thewelcomeelephant.coPractice Makes Culture Substack - practicemakesculture.substack.comLike this episode?Show notes & transcript: techleadjournal.dev/episodes/261.Follow @techleadjournal on LinkedIn and Instagram.Buy me a coffee or become a patron.

(05:22) Brought to you by CyberhavenAI is exfiltrating your data in fragments. Not one big breach — a prompt here, a screenshot there, a quiet export into a shadow AI tool. Every week, AI makes your team faster and your data harder to see. Files are moved to new SaaS apps, models are trained on sensitive inputs, and legacy DLP is blind to the context that matters most.On February 3rd at 11 am Pacific, Cyberhaven is unveiling a unified DSPM and DLP platform, built on the original data lineage, so security teams get X-ray vision into how data actually moves — and can stop risky usage in real time.Watch the launch live at cyberhaven.com/techleadjournal.Did you know Singapore is one of the world’s top countries launching cyberattacks? Not as a victim, but as the source. Your routers, smart TVs, robot vacuums, or network-attached storage could be part of a massive botnet right now.In this eye-opening episode, Joseph Yap, founder of Otonata and cybersecurity expert, reveals the hidden cyber threat lurking in our homes. He reveals how everyday devices from routers to smart TVs become attack weapons. He explains why Singapore’s excellent infrastructure ironically makes it attractive for hackers and shares practical steps to protect your network. From residential proxies renting out your internet connection to teenagers running ransomware gangs, this conversation exposes the gap between our connected lives and our digital security practices.Key topics discussed:Why Singapore, Indonesia, and Vietnam are top cyberattack source countriesWhy Singapore’s infrastructure makes it attractive for hackersHow 700,000+ compromised devices launch 30 terabits per second DDoS attacksThe rise of residential proxies and dark web rental of home networksHow hackers exploit publicly disclosed vulnerabilities in outdated firmwareWhy AI is lowering the barrier to entry for hackersWhat makes executives and high-net-worth individuals attractive targetsPractical steps to audit and protect your home networkTimestamps:(00:00:00) Trailer & Intro(00:02:40) How Can I Apply Journalism Skills to Tech(00:06:14) Why is Curiosity Essential for Tech Leaders?(00:08:48) Why is Singapore a Top Source for Cyber Attacks?(00:12:11) What Makes Singapore Attractive for Cyber Attacks?(00:16:39) How Many Devices in Singapore are Already Compromised?(00:20:40) How Can I Tell if My Home Network is Compromised?(00:30:13) Which Devices are Hackers’ Favorite Entry Points?(00:33:18) What is a Residential Proxy and Why Should I Care?(00:36:27) How do Hackers Actually Break into My Network?(00:47:47) Why are Executives and High-Net-Worth Individuals Prime Target?(00:55:12) Why isn’t Singapore’s Cyber Attack Problem in the News?(00:59:26) Can Internet Providers Stop These Attacks?(01:02:16) What Can I Do to Protect My Home Network?(01:05:19) How Do I Protect My Network-Attached Storage (NAS)?(01:10:41) How is AI Changing the Cyber Attack Landscape?(01:17:35) How Can Otonata Help Protect My Home Network?(01:23:39) What are Real-World Examples of Home Network Compromises?(01:28:20) 3 Tech Lead Wisdom_____Joseph Yap’s BioWith 20+ years in Operations and Supply Chain, Joseph Yap founded Otonata (https://otonata.com) after realizing how vulnerable home networks are to security breaches. Otonata brings corporate-grade cybersecurity to homes using digital hygiene and lean management principles, protecting dozens of households from growing threats posed by AI, smart devices, and expanding attack surfaces.Follow Joseph:LinkedIn – linkedin.com/in/-joseph-yapOtonata – https://otonata.com/Free Hack Check – https://otonata.com/hack-checkLike this episode?Show notes & transcript: techleadjournal.dev/episodes/245.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

Why are tech companies really laying off developers? The uncomfortable truth has nothing to do with AI efficiency and everything to do with running out of ideas.In this episode, Stephan Schmidt, CTO coach and author of “The Amazing CTO’s Missing Manual,” shares a perspective on AI adoption that most tech leaders aren’t talking about. Developer layoffs aren’t about AI replacing jobs; they reveal a deeper problem. Product management has become a bottleneck, creating shallow features just to keep developers busy rather than driving meaningful innovation. When AI accelerates development, this bottleneck becomes impossible to ignore.Stephan explains why architecture must be AI-ready before teams can benefit from AI tools, how CTOs can manage unrealistic business expectations, and why junior developers actually have a massive opportunity right now. He also challenges the common belief that vibe coding will democratize software development, explaining why you need to be a strong developer to prompt effectively.Key topics discussed:Why AI layoffs reveal companies ran out of good ideasArchitecture must be AI-ready for real productivity gainsVibe coding only works if you’re already a strong developerProduct engineering roles will replace traditional developersMCP connections unlock AI value beyond code generationJuniors have huge advantage as AI-native engineersIterate on plans, not prompts, when using AI toolsCTOs can finally “rise and shine” using AI strategicallyTimestamps:(00:00) Trailer & Intro(03:19) How do companies become truly AI-first?(04:13) How should CTOs manage unrealistic AI velocity expectations?(08:35) AI Use Cases Beyond Code Generation(12:04) What is MCP and how does it unlock AI value?(15:04) Why Developers Resist AI Adoption(18:35) Are AI layoffs caused by a lack of product innovation?(21:22) What is the future for junior developers in the age of AI?(24:36) Critical Thinking and Moving Up the Abstraction Layer(27:24) Vibe Coding: Benefits and Pitfalls(31:59) What is the difference between a Developer and a Product Engineer?(35:59) Building an Effective AI Adoption Strategy(38:06) AI Adoption Strategy for Development Teams(40:44) Avoiding the AI Tech Zoo(44:48) How do tech leaders handle AI data privacy and security?(50:31) How is the CTO role changing in 2026?(57:23) 3 Tech Lead WisdomLike this episode?Show notes & transcript: techleadjournal.dev/episodes/243.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

(04:00) Brought to you by UnleashUnleash is a private, flexible, and scalable feature flag system that lets teams decouple deployments from releases. It reduces the risk of shipping new features and gives organizations real-time control over what reaches production. And as AI accelerates development, Unleash helps engineering teams move fast and stay stable with safe rollouts and instant kill switches. Start a free trial of Unleash at ⁠getunleash.io/pricing⁠.Why do so many software projects still fail despite modern tools? The answer often lies in the psychology of the team, not the technology stack.Software development is often viewed purely as a technical challenge, yet many projects fail due to human factors and cognitive bottlenecks. In this episode, Adam Tornhill, CTO and Founder of CodeScene, shares his unique journey combining software engineering with psychology to solve these persistent industry problems. He explains the concept of “Your Code as a Crime Scene,” a method for using behavioral analysis to identify high-risk areas in a codebase that static analysis tools often miss.Adam covers the tangible business impact of code health, specifically how it drives predictability and development speed. He explains why 1-2% of our codebase accounts for up to 70% of our development work, and how focusing on these hotspots can make our team 2x faster and 10x more predictable. Adam also provides a critical reality check on the rise of AI in coding, exploring whether it will help reduce technical debt or accelerate it, and offers strategies for maintaining quality in an AI-assisted future.Key topics discussed:Combining psychology and software engineeringWhy predictability matters more than speedTreating your codebase as a crime sceneBehavioral analysis vs. static analysisThe hidden danger of the “Bus Factor”Will AI help or hurt code quality?Why healthy code helps both humans and AIEssential guardrails for AI-generated codeTimestamps:(00:00) Trailer & Intro(02:36) Career Turning Point: From Developer to Psychologist(07:43) Why Engineering Leaders Need Psychology Knowledge(09:29) The Root Cause of Failing Software Projects(11:37) Why Code Abstractness Makes Quality Hard to Measure(12:58) Aligning Code Quality with Business Outcomes(14:15) Code Health: 2x Speed, 10x Predictability(17:06) Why Predictability is Undervalued in Software(19:53) TDD and Practices That Drive Code Quality(21:57) Benchmarking Code Health Across the Industry(24:06) Introducing “Your Code as a Crime Scene”(26:30) Behavioral Code Analysis: Hotspot Analysis vs Static Code Analysis(29:40) Behavioral Code Analysis: Understanding Change Coupling(31:33) Dealing with God Classes(33:14) Behavioral Code Analysis: The Social Side of Code(36:48) Why Developers Aren’t Interchangeable(39:14) Introduction to CodeScene(42:06) Will AI Help or Hurt Code Quality?(43:06) Essential Guardrails for AI-Generated Code(45:54) Using CodeScene to Maintain Quality in the AI Era(48:32) How AI Accelerates Technical Debt at Scale(50:42) Why AI-Friendly Code is Human-Friendly Code(54:31) The Reality Check: Future of Software Development with AI(58:27) 3 Tech Lead Wisdom_____Adam Tornhill’s BioAdam Tornhill is the founder and CTO of CodeScene and the best-selling author of Your Code as a Crime Scene. Combining degrees in engineering and psychology, Adam helps companies optimize software quality using AI-driven methodologies. He is an international keynote speaker and researcher who enjoys retro computing and martial arts in his spare time.Follow Adam:LinkedIn – linkedin.com/in/adam-tornhill-71759b48CodeScene – codescene.com Your Code as a Crime Scene – pragprog.com/titles/atcrime2/your-code-as-a-crime-scene-second-editionLike this episode?Show notes & transcript: techleadjournal.dev/episodes/241.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

(06:06) Brought to you by JellyfishAI tools alone won’t transform your engineering org. Jellyfish provides insights into AI tool adoption, cost, and delivery impact – so you can make better investment decisions and build teams that use AI effectively. See for yourself at jellyfish.co/platform/ai-impact.Why do organizations constantly complain about having too much technical debt? Because they’re solving the wrong problem.In this episode, Dr. Andrew Brown, author of “Taming Your Dragon: Addressing Your Technical Debt,” reveals a profound insight: technical debt isn’t fundamentally a technical problem. It’s a trade-off problem rooted in human bias, organizational systems, and economic incentives. Through his innovative “Technical Debt Onion Model,” Andrew shows how decisions about code quality happen across five interconnected layers, from individual cognitive biases to wicked problem dynamics.Andrew explains why the financial debt analogy is dangerously misleading and, more importantly, how others can rack up debt you’ll eventually pay for. Drawing from behavioral economics, systems thinking, and organizational theory, he reveals why our emotions, not logic, drive most technical decisions, and how to work with this reality rather than against it.Key topics discussed:Why technical debt is a trade-off problem, not technicalHow emotions override logic in critical decisionsThe Technical Debt Onion Model framework explainedPrincipal-agent problems sabotaging your codebaseExternalities: who pays for shortcuts taken today?Why burning down debt is already too lateUlysses contracts for managing future obligationsSystems thinking applied to software developmentWicked problems: why different teams see different solutionsAI’s impact on technical debt creationTimestamps:(00:00:00) Trailer & Intro(00:02:24) Career Turning Points(00:06:06) The Importance of Skilling Up in Tech(00:06:49) The Definition of Technical Debt(00:09:08) The Broken Analogy of Technical Debt as a Financial Debt(00:09:58) The Role of Human Bias and Organization Issues in Technical Debt(00:12:41) Tech Debt is a Trade-off Problem(00:13:07) Building a Healthier Relationship with Technical Debt(00:15:15) The Technical Debt Onion Model(00:18:17) The Onion Model: Trade-Off Layer(00:25:10) The Ulysses Contract for Managing Technical Debt(00:33:03) The Onion Model: Systems Layer(00:36:32) The Onion Model: Economics/Game-Theory Layer(00:41:50) The Onion Model: Wicked Problem Layer(00:48:10) How Organizations Can Start Managing Technical Debt Better(00:52:03) The Al Impact on Technical Debt(00:56:16) 3 Tech Lead Wisdom_____Andrew Brown’s BioAndrew Richard Brown has worked in software since 1999, starting as an SAP programmer fixing Y2K bugs. He realized the biggest problems in software development were human, not technical, and has since helped teams improve performance by addressing these issues.Andrew coaches organizations on software development and quality engineering, focusing on technical debt, risk in complex systems, and project underestimation. He investigates how cognitive biases drive software problems and applies behavioral science techniques to solve them. His research has produced counterintuitive insights and fresh approaches. He regularly speaks at international conferences and runs a growing YouTube channel on these topics.Follow Andrew:LinkedIn – linkedin.com/in/andrew-brown-4b38062YouTube – @behaviouralsoftwareclub705Email – brownsensei@hotmail.com Taming Your Dragon – https://www.amazon.com/Taming-Your-Dragon-Addressing-Technical/dp/B0CV4TTP32/Like this episode?Show notes & transcript: techleadjournal.dev/episodes/239.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

Can decades-old management philosophy actually help us tackle AI’s biggest challenges?In this episode, John Willis, a foundational figure in the DevOps movement and co-author of the DevOps Handbook, takes us through Dr. W. Edwards Deming’s System of Profound Knowledge and its surprising relevance to today’s most pressing challenges. John reveals how Deming’s four-lens framework—theory of knowledge, understanding variation, psychology, and systems thinking—provides a practical approach to managing complexity.The conversation moves beyond theoretical management principles into real-world applications, including incident management mistakes that have killed people, the polymorphic nature of AI agents, and why most organizations are getting AI adoption dangerously wrong.Key topics discussed:Deming’s System of Profound Knowledge and 14 Points of Management—what they actually mean for modern organizationsHow Deming influenced Toyota, DevOps, Lean, and Agile (and why the story is more nuanced than most people think)The dangers of polymorphic agentic AI and what happens when quantum computing enters the pictureA practical framework for managing Shadow AI in your organization (learning from the cloud computing era)Why incidents are “unplanned investments” and the fatal cost of dismissing P3 alertsTreating AI as “alien cognition” rather than human-like intelligenceThe missing piece in AI conversations: understanding the philosophy of AI, not just the technologyTimestamps:(00:00:00) Trailer & Intro(00:02:27) Career Turning Points(00:05:31) Why Writing a Book About Deming(00:12:53) Deming’s Influence on Toyota Production System(00:19:31) Deming’s System of Profound Knowledge(00:28:12) The Importance of Systems Thinking in Complex Tech Organizations(00:31:43) Deming’s 14 Points of Management(00:44:17) The Impact of AI Through the Lens of Deming’s Profound Knowledge(00:49:56) The Danger of Polymorphic Agentic AI Processes(00:53:12) The Challenges of Getting to Understand AI Decisions(00:55:43) A Leader’s Guide to Practical AI Implementation(01:05:03) 3 Tech Lead Wisdom_____John Willis’ BioJohn Willis is a prolific author and a foundational figure in the DevOps movement, co-authoring the seminal The DevOps Handbook. With over 45 years of experience in IT, his work has been central to shaping modern IT operations and strategy. He is also the author of Deming’s Journey to Profound Knowledge and Rebels of Reason, which explores the history leading to modern AI.John is a passionate mentor, a self-described “maniacal learner”, and a deep researcher into systems thinking, management theory, and the philosophical implications of new technologies like AI and quantum computing. He actively shares his insights through his “Dear CIO” newsletter (aicio.ai) and newsletters on LinkedIn covering Deming, AI, and Quantum.Follow John:LinkedIn – linkedin.com/in/johnwillisatlantaTwitter – x.com/botchagalupe AI CIO – aicio.ai Attention Is All You Need – linkedin.com/newsletters/attention-is-all-you-need-7167889892029505536 Profound – linkedin.com/newsletters/profound-7161118352210288640 Rebels of Uncertainty – linkedin.com/newsletters/rebels-of-uncertainty-7359198621222719490Like this episode?Show notes & transcript: techleadjournal.dev/episodes/237.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.