ocrow
Joined 5 years ago
Joined 5 years ago
When a good programmer writes a new feature, they are looking for both existing and new abstractions that can be applied. They are considering their mental model of the whole system and examining whether it can be leveraged or needs to be updated. That's how they avoid compounding complications.
In order to take a big picture view like that, the LLM needs the right context. It would need to focus on what its system model is and decide when to update that system model. For now, just telling it what to write isn't enough to get good code. You have to tell it what to pay attention to.
The instinct for self preservation is strong. Knowing what will come requires foresight and clarity. You may lose the capacity for informed decision making before the point where it's clear that there's not much to live for.
Many of us lack the insight that Kahneman perhaps had that in order to take control of the end you may need to leave some good days on the table.
This is a mistake is because it puts the broad-scale modularization boundaries of a system in the wrong places and makes the system brittle and inflexible. A better approach is one where large scale system boundaries fall along computational capability lines, as exemplified by modern Entity Component Systems. Class hierarchies that rigidly encode domain categorizations don't make for flexible systems.
Some of the earliest writers on object encapsulation, e.g. Tony Hoare, Doug Ross, understood this, but later language creators and promoters missed some of the subtleties of their writings and left us with a poor version of object-oriented programming as the accepted default.