🎙️EP82 - The Last Mile: Why AI Adoption Isn't Enough

EZOps - Agentic-AI Deep Dive

Thiago Maior scaled from freelance developer to CEO of a 70-person infrastructure company with zero external funding. He lived the DevOps revolution. Now he's watching AI compress that same transformation into months. DevOps started in 2009. Thiago joined in 2014, five years late, and still built a thriving business. Companies that ignored DevOps for seven years caught up eventually. AI is different. It doesn't just change the technology; it changes the DNA of the organization. Hiring, pricing, project estimation, quality assurance, business models; everything shifts at once. Seven years of delay with AI could be fatal. In this episode, we explore: - Why project estimates are collapsing from 200 hours to 20 and what it means for every company selling engineering time - How organizations are adopting AI bottom-up through developers while leadership has no measurement framework - The layoff trap: companies cutting senior engineers, then discovering nobody can govern what AI produces - Why Thiago's team spent a full year taming AI's unpredictability through multi-agent architecture - The shift from vibe coding to engineering discipline as the last mile of AI transformation If you're a CTO or technology leader navigating AI adoption, this conversation maps the terrain you're walking right now. 🎙️ ABOUT THIAGO MAIER Thiago is the CEO of EZ Ops, a US-based infrastructure and software development company he built from the ground up over 10 years. Starting as a freelance developer in Brazil, Thiago scaled to a team of nearly 70 engineers, entirely self-funded. His team now develops AI-powered agents for infrastructure and software delivery, and his experience across both the DevOps and AI revolutions gives him a rare dual perspective on what technology leaders face today. 🎙️ ABOUT MICHELE BRISSONI Michele Brissoni brings 45+ years on the tatami (35+ years teaching, 6 black belts), 25+ years of TDD practice, and 25+ years developing the Software Craftsmanship Dojo® methodology. Through The Forge of Unicorns, he has conducted 130+ interviews and analyzed 52 unicorns and 100+ portfolios to understand what separates organizations that thrive with AI from those that stumble. Based in Slovakia, working globally, and co-creator with Alessandro Di Gioia of nwave.ai (🔗 https://nwave.ai), one of the most opinionated agentic-ai coding platforms, guested in the first episode of Dave Farley - AI Briefing as a groundbreaking in the enterprise software factory landscape. --- 🔗 LINKS & RESOURCES 📊 Free AI Readiness Assessment: https://ai-readiness.dev/ 📛 nWave: https://nwave.ai/ 🎧 Listen: - Spotify: https://go.brix.consulting/Spotify - Apple Podcasts: https://go.brix.consulting/ApplePodcast --- 📱 Connect: - Michele on LinkedIn: https://www.linkedin.com/in/michelebrissoni/ - Thiago on LinkedIn: https://www.linkedin.com/in/thiago-maior/ - Substack: https://theforgeofunicorns.substack.com/ - LinkedIn newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/ --- ⏱️ TIMESTAMPS 00:00 - Introduction 00:39 - From freelancer in Brazil to CEO of a 70-person company 04:39 - Why self-funded growth builds healthier organizations 07:13 - The AI wake-up call: what changed in the last 12 months 11:08 - When 200 hours becomes 20: the business model crisis 17:28 - Are organizations ready? Bottom-up adoption vs top-down readiness 22:08 - The layoff trap: firing the people who govern AI output 28:00 - Vibe coding vs engineering discipline: the line between speed and risk 34:04 - Taming AI's unpredictability: building Ace with multi-agent architecture 39:49 - AI needs humans; but superhumans who know the craft 41:44 - Deterministic execution and the future of spec-driven development 46:46 - Final thoughts: why this is the most exciting moment in tech #AIReadiness #TechLeadership #CTO #DevOps #AITransformation #SoftwareCraftsmanship #nwave #nwave.ai #softwarefactory #agenticcoding #AIcoding #vibecoding #specdriven ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🎙️EP82 - The Last Mile: Why AI Adoption Isn't Enough

AI Readiness Gap: Why 70-90% AI adoption with 30-50% readiness is costing billions. The Last Mile framework for CTOs to complete AI coding tool investments. The data is clear: companies are pouring millions into GitHub Copilot, Cursor, Claude Code, Windsurf. Adoption rates hit 70-90%. But organizational readiness sits at 30-50%. That 40-point gap is where ROI disappears and technical debt compounds at machine speed. GitClear 2024 reveals the damage: - 39.9% drop in refactored code - 17.1% YoY increase in code duplication - Enterprise app lifespan collapsing The human cost: - 77% developers disengaged - 40% experiencing burnout - Sick leave rising across the industry This isn't CTO failure. This is the AI readiness gap—a structural challenge at hypergrowth speed that no single leader can solve alone. After 3 years and 130+ interviews with people who built 52 unicorns, I'm making a strategic shift. Pressing pause on the weekly format to focus completely on the last mile: helping organizations close their AI readiness gap. In this episode: - Why AI adoption without readiness creates technical debt at machine speed - The "Last Mile" framework for completing AI investments - The 2026 vision: real companies facing real challenges + elite crafters from the trenches - How the free AI Readiness Assessment reveals your gaps - The win-win-win model: you close the gap, become the case study, the industry learns This is not an ending. This is an evolution. --- 🎙️ ABOUT MICHELE (MIKE) BRISSONI Host of The Forge of Unicorns and founder of the Software Craftsmanship Dojo®. 35+ years on the tatami, 25+ years practicing TDD, 20+ years building behavioral engineering methodologies for elite software teams. F1-inspired precision. Zero tolerance for mediocrity. 130+ interviews. 52 unicorns analyzed. One pattern: AI adoption without organizational readiness creates chaos. The mission now: help CTOs complete their AI investments through systematic behavioral engineering. --- 🔗 LINKS & RESOURCES 🎯 FREE AI Readiness Assessment (30 min): 👉 https://brix.consulting/free-ai-readiness-assessment/ 🥋 Software Craftsmanship Dojo®: 👉 https://swcraftsmanshipdojo.com/ 🎧 Listen on your platform: - Spotify: https://go.brix.consulting/Spotify - Apple Podcasts: https://go.brix.consulting/ApplePodcast - Acast: https://shows.acast.com/the-forge-of-unicorns 📝 Deep Dive Article and newsletter: - Substack: https://theforgeofunicorns.substack.com/ - LinkedIn: https://go.brix.consulting/ForgeOfUnicorns ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🎙️ EP81 - The AI Readiness Gap

97% of enterprise developers use AI coding tools. Trust crashed from 40% to 29% in one year. METR found experienced developers 19% slower while believing they were 20% faster. The 39-point perception gap exposes why your AI investment isn't delivering—and the 4-dimension framework that fixes it. 🎙️ EP81 - The AI Readiness Assessment | The Last Mile to 4X Results with AI Coding Tools You made the right investment. GitHub Copilot, Cursor, Claude Code—the tools work. But without readiness across 4 dimensions, AI amplifies dysfunction instead of excellence. This episode reveals the diagnostic framework and the pathway to turn your investment into exponential results. --- In this episode, Michele (Mike) Brissoni exposes the AI-readiness gap costing CTOs millions: the delta between how fast organizations adopt AI and how prepared teams are to supervise it, validate it, and integrate it. He introduces the AI Readiness Assessment framework measuring organizational capacity across four critical dimensions, reveals why spec-driven development unlocks AI for experienced developers, and demonstrates how behavioral engineering—not more tools—closes the last AI-mile. 💡 KEY INSIGHTS: - 97% of enterprise developers have used AI coding tools - Trust in AI accuracy dropped from 40% to 29% in just one year - 39-point perception gap: teams 19% slower while believing 20% faster - Experienced developers find traditional AI coding tools distracting without proper workflows - Spec-driven development expands AI's reach from 30% to full development lifecycle - AI readiness gap = delta between adoption speed and organizational capacity - The bottleneck is behavior, not infrastructure - Four dimensions determine AI success: focus, technical practices, product health, customer feedback - Miss one dimension and you stall, miss two and you suffer, miss four and you fail - Companies with strong fundamentals see 4X better AI results than those without - Elite XP teams correct mistakes in one week; canonical enterprises take a quarter - AI becomes an expensive accelerator for your failure without readiness 🗣️ KEY QUOTES: "They were 19% slower while believing they were 20% faster." "AI amplifies what you have in the company." "Driving a Ferrari Enzo at 200 mph with 45% brakes—that's your AI adoption gap." "If developers don't have the cognitive capacity to supervise AI, you're dead on arrival." "Spec-driven development turns AI into a real co-pilot." "Miss one dimension and you stall. Miss two and you suffer. Miss four and you fail." "Stop embracing AI blindly. Start being aware." --- 🎯 READY TO CLOSE THE GAP? Get your FREE AI-Readiness Assessment for your software team. One number showing where you stand across 4 dimensions. Zero cost. 👉 https://brix.consulting/free-ai-readiness-assessment/ ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🎙️ EP80 - The AI Coding Illusion: Why Speed Without Fundamentals Is a Death Spiral

In this episode, Michele (Mike) Brissoni explores the challenges and realities of software development in the age of AI. He discusses the historical context of coding productivity, the impact of Agile and DevOps methodologies, and the effects of remote work on developer efficiency. Brissoni emphasizes the importance of fundamentals over tools, highlighting the silent killers of productivity such as multitasking and environmental noise. He uses the automotive industry as a case study to illustrate the consequences of neglecting software fundamentals and calls for a reevaluation of how organizations approach AI adoption and developer training. 💡 KEY INSIGHTS: - AI is revolutionizing software development but poses significant challenges - Developers spend minimal time actually coding, often less than 10% - Agile methodology, while promoting collaboration, can hinder productivity - Remote work has both benefits and drawbacks for developer focus - AI tools can exacerbate existing issues in coding practices - Mind wandering and multitasking significantly reduce developer productivity - Automotive industry exemplifies dangers of prioritizing speed over fundamentals - Strong organizational fundamentals lead to 4x better performance with AI - Companies must assess AI readiness and developer fundamentals - A shift from tools to foundational practices is essential for success 🗣️ KEY QUOTES: "Coding is NOT the bottleneck. Indeed devs spend 10 to max 39% of their time actually coding!" "We have destroyed them even before start coding." "We need AI free days to prevent skill atrophy." "Companies with strong fundamentals achieve almost four times the performance of companies without them when adopting AI." --- 🎯 READY TO FACE THE TRUTH? Get your FREE AI-Readiness Quick Scan for software teams. Clear data on where your team stands. Zero cost. 👉 https://brix.consulting/free-ai-readiness-assessment/ [https://brix.consulting/free-ai-readiness-assessment/] ⚠️ Only 3 spots remaining for Q4 2025 --- 📝 DEEP DIVE ARTICLE: Full written analysis drops Thursday on Substack & LinkedIn Subscribe: https://theforgeofunicorns.substack.com/ [https://theforgeofunicorns.substack.com/] --- ABOUT THE FORGE OF UNICORNS: Weekly insights for C-level executives, PE/VC leaders, and board members on building elite software organizations. 80+ episodes analyzing what really works in the AI era—backed by data from 130 people who built 52 unicorns. Host: Michele (Mike) Brissoni Background: F1-inspired behavioral engineering for software teams. 15+ years building the Software Craftsmanship Dojo. Engineer by training (robotics, telecom, software). Zero tolerance for mediocrity. Mission: Elevate software development to F1-level mastery through systematic behavioral engineering. 🔔 Subscribe for weekly episodes 📧 Join the newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/ [https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🎙️ EP79 - How to build the 1% Elite Developers!

Your $10M AI investment produces garbage code because you hired mediocre, trained badly, and blamed developers when production burned. Not their fault. Yours. This episode explores how leadership and organizational behavior shape software engineering teams—and why understanding the dynamics between teamwork, coding discipline, and behavioral transformation determines whether your software development succeeds or fails. I reveal the Software Craftsmanship Dojo, the behavioral transformation system that turns broken teams into 1% Elite performers—using the same neuroscience that transforms terrified kids into confident martial artists. 🥋 THE 6 PARALLELS: → Repetition creates instinct (not compliance) → Fundamentals before frameworks (or 3 AM calls never stop) → Sparring = pair programming (safe failure builds mastery) → Belt system = KBI progression (measurable transformation) → Sensei = cultural rewiring (mirror neurons & role model) → Respect → Ownership (discipline builds elite mindset) 💡 KEY INSIGHTS: - Why Key Behavioral Indicators predict team failure before production burns - The hostile environment paradox: build the 1% without executive buy-in - How grassroots transformation works when leadership won't act - Why AWS certifications and Agile workshops fail (training ≠ transformation) - The neuroscience of identity shift through deliberate practice 🎯 WHO THIS IS FOR: - CTOs tired of being told it's a "people problem" - Engineering leaders drowning in production incidents - VPs watching AI investments produce zero ROI - Anyone building software teams in hostile environments --- 🎯 READY TO FACE THE TRUTH? Get your FREE AI-Readiness Quick Scan for software teams. Clear data on where your team stands. Zero cost. 👉 https://brix.consulting/free-ai-readiness-assessment/ [https://brix.consulting/free-ai-readiness-assessment/] ⚠️ Only 3 spots remaining for Q4 2025 --- 📝 DEEP DIVE ARTICLE: Full written analysis drops Thursday on Substack & LinkedIn Subscribe: https://theforgeofunicorns.substack.com/ [https://theforgeofunicorns.substack.com/] --- ABOUT THE FORGE OF UNICORNS: Weekly insights for C-level executives, PE/VC leaders, and board members on building elite software organizations. 77+ episodes analyzing what really works in the AI era—backed by data from 130 people who built 52 unicorns. Host: Michele (Mike) Brissoni Background: F1-inspired behavioral engineering for software teams. 15+ years building the Software Craftsmanship Dojo. Engineer by training (robotics, telecom, software). Zero tolerance for mediocrity. Mission: Elevate software development to F1-level mastery through systematic behavioral engineering. 🔔 Subscribe for weekly episodes 📧 Join the newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/ [https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.