{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6615400becab3b00160d90d9/69fc4a2a921510d4c1dbea36?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"EZOps - Agentic-AI Deep Dive","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6615400becab3b00160d90d9/1778141222965-a456d4e1-6cac-433d-b355-d91f3a7e45b0.jpeg?height=200","description":"<p>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.</p><p><br></p><p>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.</p><p><br></p><p>In this episode, we explore:</p><p>- Why project estimates are collapsing from 200 hours to 20 and what it means for every company selling engineering time</p><p>- How organizations are adopting AI bottom-up through developers while leadership has no measurement framework</p><p>- The layoff trap: companies cutting senior engineers, then discovering nobody can govern what AI produces</p><p>- Why Thiago's team spent a full year taming AI's unpredictability through multi-agent architecture</p><p>- The shift from vibe coding to engineering discipline as the last mile of AI transformation</p><p><br></p><p>If you're a CTO or technology leader navigating AI adoption, this conversation maps the terrain you're walking right now.</p><p><br></p><p>🎙️ ABOUT THIAGO MAIER</p><p><br></p><p>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.</p><p><br></p><p>🎙️ ABOUT MICHELE BRISSONI</p><p><br></p><p>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.</p><p><br></p><p>---</p><p><br></p><p>🔗 LINKS &amp; RESOURCES</p><p><br></p><p>📊 Free AI Readiness Assessment: https://ai-readiness.dev/</p><p>📛 nWave: https://nwave.ai/</p><p><br></p><p>🎧 Listen:</p><p>- Spotify: https://go.brix.consulting/Spotify</p><p>- Apple Podcasts: https://go.brix.consulting/ApplePodcast</p><p><br></p><p>---</p><p><br></p><p>📱 Connect:</p><p>- Michele on LinkedIn: https://www.linkedin.com/in/michelebrissoni/</p><p>- Thiago on LinkedIn: https://www.linkedin.com/in/thiago-maior/</p><p>- Substack: https://theforgeofunicorns.substack.com/</p><p>- LinkedIn newsletter: https://www.linkedin.com/newsletters/the-forge-of-unicorns-7184097792242458624/</p><p><br></p><p>---</p><p><br></p><p>⏱️ TIMESTAMPS</p><p><br></p><p>00:00 - Introduction</p><p>00:39 - From freelancer in Brazil to CEO of a 70-person company</p><p>04:39 - Why self-funded growth builds healthier organizations</p><p>07:13 - The AI wake-up call: what changed in the last 12 months</p><p>11:08 - When 200 hours becomes 20: the business model crisis</p><p>17:28 - Are organizations ready? Bottom-up adoption vs top-down readiness</p><p>22:08 - The layoff trap: firing the people who govern AI output</p><p>28:00 - Vibe coding vs engineering discipline: the line between speed and risk</p><p>34:04 - Taming AI's unpredictability: building Ace with multi-agent architecture</p><p>39:49 - AI needs humans; but superhumans who know the craft</p><p>41:44 - Deterministic execution and the future of spec-driven development</p><p>46:46 - Final thoughts: why this is the most exciting moment in tech</p><p><br></p><p>#AIReadiness #TechLeadership #CTO #DevOps #AITransformation #SoftwareCraftsmanship</p><p>#nwave #nwave.ai #softwarefactory #agenticcoding #AIcoding #vibecoding #specdriven</p>","author_name":"Michele Brissoni"}