AI can build it. But should you? 🤖 Konstantin Klyagin

Konstantin Klyagin has spent more than two decades building software for other companies, and lately he’s also been fixing more of what AI helps people build.Through his agencies Redwerk and QAwerk, he sees what happens after the prototype looks convincing and real users start doing things you didn’t expect. Something that worked perfectly in a demo can suddenly fail on basic workflows, from payments to duplicated bookings.That’s why Konstantin sees AI as a multiplier. It can help you build more, but it can also accelerate a bad decision before you’ve realised you misunderstood what people actually need. When almost anyone can turn an idea into working software, deciding what deserves to be built becomes more important.In this episode, we get into where vibe-coded products start to break, what still needs proper technical experience, and how to build a software business when AI is available to everyone. We also talk about bootstrapping, hiring behind demand, and what 21 years in business taught Konstantin about adapting when circumstances change underneath you.___⭐️ Episode sponsored by DataForSEO ⭐️Check how your business appears across AI answers and web search. DataForSEO is pay-as-you-go, and new users who sign up through the Millennial Masters get $5 in credits to try it.👉🏻 Check your visibility 🔎 https://l.dataforseo.com/3Uu7ksv___What we cover1️⃣ When AI accelerates the wrong decisionKonstantin explains why AI multiplies whatever thinking is already there. Strong judgement moves faster, but weak assumptions do too.2️⃣ The gap between a convincing demo and a reliable productVibe coding can get you surprisingly far, but real users expose problems that prototypes often hide.3️⃣ Knowing what deserves to be builtAs software gets easier to make, the bigger edge comes from understanding customers well enough to know which problems are actually worth solving.4️⃣ Where proper engineering still mattersAI can push back the point where you need senior technical experience. Once real users depend on the product, architecture and reliability become much harder to fake.5️⃣ Growing around the demand you actually haveKonstantin has spent 21 years building without outside funding and avoids hiring for a future version of the business that hasn’t arrived yet.Chapters00:00 Introduction to Konstantin Klyagin01:59 DataForSEO sponsor message03:21 More code doesn’t mean more progress05:27 Build what users actually need07:20 A prototype can look finished and still fail10:45 AI multiplies bad decisions too13:02 When you still need a CTO17:52 Don’t hire ahead of demand21:48 Understanding the customer becomes the edge25:51 DataForSEO sponsor message26:06 AI doesn’t belong everywhereGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netKnow someone vibe coding their next product? Send them this 🛠️ Get full access to Millennial Masters at millennialmasters.net/subscribe