Not for everyone, but it radically changed how I build. Senior engineer, 10+ years
Now it's trivial to run multiple projects in parallel across claude sessions (this was not really manageable before using wheat)
Genuinely don't remember the last time I opened a file locally
Not sure how it works under the hood, probably a better question for them
Perhaps you are misunderstanding the entire premise of this project, this is not an LLM
Evals apply not just to LLMs but to skills, prompts, tools, and most things changing the behavior of compound AI systems, and especially like the productivity claims being put forth in this thread.
The features in the post relate directly to heavily researched areas of agents that are regularly benchmarked and evaluated. They're not obscure, eg, another recent HN frontpage item benchmarked on research and planning.
we are still benchmarking the compiler at scale and the LLM tools that were made were created as functional prototypes to showcase a single example of the compiler's use case
since much of the unlock here is finding different applications for the compiler itself, we simply don't have the bandwidth to do much benchmarking on these projects on top of maintaining the repos themselves
all the code is open source and there is nothing stopping anyone from running their own benchmarks if they were curious
btw