Imagine a company that fires its software engineers, replaces them with AI-generated code, and then sits back, expecting everything to just work. This is like firing your entire fire department because you installed more smoke detectors. It’s fine until the first real fire happens.
Sure but they’re not going to fire all of them. They’re going to fire 90% then make 10% put out the fires and patch the leaks while working twice as many hours for less pay.
The company will gradually get worse and worse until bankrupt or sold and the c-suite bails with their golden parachutes.
I don’t know. I look at it like firing all your construction contractors after built out all your stores in a city. You might need some construction trades to maintain your stores and your might need to relocate a store every once in a while, but you don’t need the same construction staff on had as you did with the initial build out.
Sure but they’re not going to fire all of them. They’re going to fire 90% then make 10% put out the fires and patch the leaks while working twice as many hours for less pay.
The company will gradually get worse and worse until bankrupt or sold and the c-suite bails with their golden parachutes.
I don’t know. I look at it like firing all your construction contractors after built out all your stores in a city. You might need some construction trades to maintain your stores and your might need to relocate a store every once in a while, but you don’t need the same construction staff on had as you did with the initial build out.
In my experience, you actually need more people to maintain and extend existing software compared to the initial build out.
Usually because of scalability concerns, increasing complexity of the system and technical debt coming due.
While true, that is a weak analogy. Software rots and needs constant attention of competent people or shit stacks.