[Cort3z]

As far as i understand, this is not +-300ms. It is 300ms vs. 10 sec or something. That is a huge difference. I personally find the time to wait for these larger models a limiting factor. It’s also probably a resource waste for fairly simple task like this. (Compared to the general function approximation of the llms)

But I honestly feel like the task of smartly applying edits falls somewhat within traditional coding tasks. What about it is so difficult it could not be done with a smart diffing algorithm?

[bhaktatejas922]

it's a bit unclear why a model works best here. in short - smart diffing is edge case hell and you'll never capture all of them

[deepdarkforest]

you misunderstood. its 300ms just for the apply model, the model that takes your coding models output (eg sonnet) and figures out where the code should be changed in the file. Cursor has its own, and claude uses a different technique with strings as well. So its 10sec vs 10sec +300ms using your analogy

[Cort3z]

Their selling point is to be a more open version of what cursor has. So the alternative is to use a full llm. So it is 10s+ 10s vs 10s+ 300ms

[bhaktatejas922]

yep!

[bravesoul2]

For someone not heavy in this space. I use GH copilot at work. I might switch to cursor. I am not into the details of the tools just care does it help me or not. For us it might be worth having an easier to understand value proposition.

It may take a bit if explaining and that's OK. But the big question is as someone doing my enterprise microservice who isn't heavy into AI why do I switch to you.