ABOUT THIS EPISODE
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.
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⭐️ Episode sponsored by DataForSEO ⭐️
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What we cover
1️⃣ When AI accelerates the wrong decision
Konstantin 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 product
Vibe coding can get you surprisingly far, but real users expose problems that prototypes often hide.
3️⃣ Knowing what deserves to be built
As 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 matters
AI 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 have
Konstantin has spent 21 years building without outside funding and avoids hiring for a future version of the business that hasn’t arrived yet.
Chapters
00:00 Introduction to Konstantin Klyagin
01:59 DataForSEO sponsor message
03:21 More code doesn’t mean more progress
05:27 Build what users actually need
07:20 A prototype can look finished and still fail
10:45 AI multiplies bad decisions too
13:02 When you still need a CTO
17:52 Don’t hire ahead of demand
21:48 Understanding the customer becomes the edge
25:51 DataForSEO sponsor message
26:06 AI doesn’t belong everywhere
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