🧱 The Lego Effect: Full Vibe!

I still remember the feeling of proudly showing my mother the Lego castle I had spent all afternoon building. Towers, a drawbridge, a small dungeon. Even if the proportions were off and the colors chaotic, it was mine. I had built it. That feeling, I know today, has a name and a neurobiology. It is not childhood nostalgia. It is one of the strongest intrinsic motivators known to research.

What has occupied me in recent months is an observation: Vibe Coding: developing software through natural language instructions to AI agents: triggers exactly this feeling in people. Not in developers. In everyone who seriously tries it. This is not coincidence. It is mechanism. And this mechanism has a consequence that most have not yet understood: The result is not necessarily worse than what professional developers deliver. It can be better.

Thesis 1: The urge to build is biologically anchored. AI has lowered the barrier to zero.

Behavioral psychology calls it Effectance Motivation: the intrinsic drive to effectively shape one's environment. Not for a reward. Not for praise. But because seeing one's own result activates the brain's reward system. Dopamine. The same thing triggered by the first click of one Lego brick onto another.

This is exactly what Vibe Coding delivers. In minutes, a first draft emerges: a functioning website, a small tool, a data analysis. Something that two years ago would have cost months of development time is suddenly tangible in hours.

Those who know which questions to ask get results from AI tools today that many professional developers cannot deliver.

Thesis 2: The first 70 percent is play. The last 30 is work. And at a certain point, you need professionals.

Anyone who has seriously worked with Vibe Coding knows the pattern. The first hours are exhilarating. Idea in, result out, new idea, new result. That is Minecraft. The free building that researchers describe as particularly conducive to creativity and learning motivation. The flow state is real.

And then come the last 30 percent. The edge cases. The errors that look plausible but are wrong. The architecture questions where the agent takes the wrong direction. The boundary runs between projects where the domain knowledge of the client suffices, and those where deep technical architecture decisions must be made.

Thesis 3: Tokens work like Lego bricks. When the box is empty, the fun is over.

The economics of AI models follows a logic familiar to anyone who played with Lego as a child. A token is a building block. The context window is the box. The competition among models is not just about intelligence. It is about who delivers the fullest box at the best price.

The competition among models is not just about intelligence. It is about who delivers the fullest box at the best price.

Thesis 4: Every democratization of tools has written the same story. We are in the middle of it.

Vibe Coding is this wave for software. 63 percent of people who actively use it today are not developers. They are people with an idea and the will to realize it. Some will fail. Some will build something that changes the world. It has always been this way.

Thesis 5: The most dangerous thing about Vibe Coding is not that it overpromises. It is that you unlearn understanding.

A study by the Anthropic Research Team in 2026 measured what happens when developers intensively use AI assistance: They score significantly worse on comprehension tests for the generated code than developers working without assistance. The code works. But whoever wrote it no longer fully knows why.

The feeling of being faster is real. The question is whether you also understand what you built.

Thesis 6: Flow in complex systems is possible. But only with real domain knowledge.

The answer is not more prompting experience. The answer is deep domain knowledge. AI knows the patterns. But who decides which patterns apply here is the human in the loop. Domain knowledge becomes more valuable, not more obsolete.

AI knows the patterns. Who decides which ones apply here is the human in the loop. Domain knowledge becomes more valuable, not more obsolete.

The Lego Effect is not a metaphor. It is a mechanism that explains why people work for hours on something that does not feel like work. AI tools have transferred this mechanism into a domain previously reserved for specialists. This is not a technological footnote. It is a societal shift that is just beginning.