[Szpadel]

of course, but to evaluate or train better LLM you need to have first some framework/application like gh spark working. just look at aider and how well it's able to estimate llm coding performance. like with everything in the past we need first to build something that is helpful for some cases and then improve it every generation.

I believe spark will be great for some internal tooling or some personal side projects, you don't have to handle every corner case in such application