AI has changed the speed of software development.
A developer can now ask for a feature, a refactor, or even a whole application, and get working code in minutes.
At first, this feels like pure productivity.
But there is another side.
The code can grow faster than our understanding of it.
A system may work, pass tests, and look complete, while the human responsible for it still does not fully understand its architecture, data flow, risks, or important design decisions.
This creates a new kind of bottleneck.
The problem is no longer only:
“Can we build this?”
It is also:
“Can we still understand what we built?”
That question became the starting point for makna.
Not because AI writes bad software.
But because faster software production needs a matching improvement in human understanding.