Stop Vibe Coding: Building AI, Robots and Software the Boring Way

https://youtu.be/nKAaJ1NARng

https://www.backtier.comWaitlist for book "Agentic Coding, the Boring Way: A Disciplined Approach to AI in Legacy Systems":https://forms.fillout.com/t/iUWCb97oBbusBackTier | AI Visibility, SEO, and the Future of SearchFormer Amazon AI leader Krishna Kumaar Sharma joins Jason Todd Wade for a blunt conversation about the economics, hype and practical future of artificial intelligence.Krishna explains why Germany and much of Europe remain behind the United States in enterprise AI adoption, why rising token costs could erase many promised productivity gains, and why deploying hundreds of loosely controlled AI agents is often an expensive substitute for proper planning.The conversation explores Krishna’s work building Omokai, a voice-AI interface designed to let people command robots, drones and machine swarms using natural language. The goal is to eliminate complicated controllers and make physical AI usable across manufacturing, inspection, security, caregiving and defense applications.Krishna also introduces the central argument behind his forthcoming book, Agentic Coding the Boring Way: AI should be managed like an intern, not treated like an autonomous genius. Reliable AI development requires breaking projects into defined tasks, creating detailed plans and using competing models to review one another before code reaches production.Jason and Krishna also discuss Claude, ChatGPT, Amazon, Perplexity, Manus, Lovable, Base44, AI subscription fatigue, token maxing and the widening gap between impressive AI demonstrations and sustainable business value.In this episode— Why enterprise AI adoption remains slower in Germany— The hidden economics of AI usage and token consumption— Why “token maxing” and massive agent swarms can waste money— How Omokai converts spoken commands into robot and drone actions— Why physical AI may produce clearer ROI than software wrappers— The difference between vibe coding and controlled AI development— Using ChatGPT, Claude and Gemini as competing reviewers— Why planning remains essential even when AI writes the code— How technical research can create visibility for an emerging company— Where AI platforms may consolidate nextAbout Krishna Kumaar SharmaKrishna Kumaar Sharma is a Berlin-based AI executive, researcher and former Amazon Head of AI with more than 17 years of technology experience. He is building Omokai, a dual-use voice-AI platform that allows operators to command and control robots, drones and machine swarms through natural language. (LinkedIn⁠)His work focuses on physical AI, agentic software development and building reliable AI systems without uncontrolled complexity or excessive infrastructure costs. He is also developing Agentic Coding the Boring Way, a practical methodology for using AI to build software through structured planning, review and controlled execution.About Jason Todd WadeJason Todd Wade is the founder of BackTier and NinjaAI and host of the AI Visibility Podcast. He develops AI Visibility systems that help companies, professionals and ideas become understood, cited and recommended inside AI-generated answers.His work covers AI discovery, entity positioning, GEO, AEO, AI SEO and the infrastructure required to build durable authority across search engines, language models and recommendation systems.ConnectKrishna Kumaar SharmaLinkedIn: Krishna Kumaar Sharma — linkedin.com/in/krisberlinCompany: Omokai — linkedin.com/company/omokaiBook: Agentic Coding the Boring Way — waitlist link forthcomingJason Todd WadeBackTier: BackTier.comNinjaAI: NinjaAI.comPersonal site: JasonWade.comPodcast: AI Visibility by Jason Todd Wade