That is right, it is a tool. But how useful will it be as a tool once it will be sold by token at real costs, where every mistake that tool makes costs money and we are talking here maybe about 10 times higher costs than people currently pay for Claude, at the minimum.
Add to that the question how the use of LLMs affects the career pipeline from junior dev to senior dev.
There not so many tool analogies where the tool is especially good at making things look good, even if they aren’t when you dig deeper.
I also think there still hasn’t been a study showing consistent long term significant(!) productivity gain for coders. (Other than lines of code in total, but that alone is a poor measure.) The amount of new hidden bugs and other issues seem to outweigh most of the perceived gains.
The key question is if total costs along the pipeline, from requirements definition down to the final quality controlled fully debugged product can be reduced, at real LLM costs (not with the currently vastly subsidised costs).
Well i can’t disagree with that take. Skill still plays a role. You still can’t suggest people keep writinga and reviewing solely by hand. That ship has sailed.
That is right, it is a tool. But how useful will it be as a tool once it will be sold by token at real costs, where every mistake that tool makes costs money and we are talking here maybe about 10 times higher costs than people currently pay for Claude, at the minimum.
Add to that the question how the use of LLMs affects the career pipeline from junior dev to senior dev.
There not so many tool analogies where the tool is especially good at making things look good, even if they aren’t when you dig deeper.
I also think there still hasn’t been a study showing consistent long term significant(!) productivity gain for coders. (Other than lines of code in total, but that alone is a poor measure.) The amount of new hidden bugs and other issues seem to outweigh most of the perceived gains.
I would argue that adding lines of code is the worst thing a developer can do.
The key question is if total costs along the pipeline, from requirements definition down to the final quality controlled fully debugged product can be reduced, at real LLM costs (not with the currently vastly subsidised costs).
I agree. And from the data I’ve seen so far, it doesn’t look convincing at all.
In part because AI seems to be phenomenally unintelligent.
Well i can’t disagree with that take. Skill still plays a role. You still can’t suggest people keep writinga and reviewing solely by hand. That ship has sailed.
Says who, that we can’t suggest that?