I'm pretty pragmatic and resist AI hype. However, I am in the camp that the tools we've built do not maximize the potential of the LLMs we have today.
I see 2 things happening in parallel.
1) Tools on existing LLMs continue to improve (cursor -> claude code).
2) The LLMs themselves improve which makes existing tooling better and results in new tooling to take advantage of the improvements.
I'm not sure when I see either of these slowing down and they've been accelerating at a very rapid pace. Perhaps when the funding dries up.
I think that's the question but I believe if we don't have any more LLM improvements that we still have a couple years of tooling improvements using what's there today.
I'm sort of surprised that coding is a leading use case but do not see any reason it would not spread to other industries (what the OP is saying).
I see 2 things happening in parallel.
1) Tools on existing LLMs continue to improve (cursor -> claude code).
2) The LLMs themselves improve which makes existing tooling better and results in new tooling to take advantage of the improvements.
I'm not sure when I see either of these slowing down and they've been accelerating at a very rapid pace. Perhaps when the funding dries up.
I think that's the question but I believe if we don't have any more LLM improvements that we still have a couple years of tooling improvements using what's there today.
I'm sort of surprised that coding is a leading use case but do not see any reason it would not spread to other industries (what the OP is saying).