I just ignore it all, its just a bunch of useless cruft that nobody needs that people are throwing out there to seem AI-relevant.
If you need to know "Should we migrate to GraphQL?" (the example on the site) and your brain is already AI-mushed to the point where you can't deduce this yourself, just ask the model directly, it doesn't need 9 layers of slop-built bullshit stacked on top to answer this question.
I broadly agree with you but if you use claude code you should give this a try, the website doesn't really do it justice but wheat really solves for a lot of pain points when using claude for longer sessions
I only stay on this particular variant of one of the 5 site designs every LLM spits out for long enough to check that - yes - it has the annoying thing where content fades in as you scroll, before closing the tab.
Evals let us agree on the baseline, measurement, etc, and compare if simple things others do perform just as well. For same reason, instead of 'works on my box' and 'my coding style', use one of the many community evals vs making up your own benchmark.
That helps head off much of many of the unfalsifiable discussions & claims happening and moves everyone forward.
a rust version of that compiler (that the project runs on) ran at 480k claims/sec and it was able to deterministically resolve 83% of conflicts across 1 million concurrent agents (also 393,275x compression reduction @ 1m agents on input vs output, but different topics can make the compression vary)
natively claude (and other LLM) will resolve conflicting claims at about 51% rate (based on internal research)
the built in byzantine fault tolerance (again, in the compiler) is also pretty remarkable, it can correctly find the right answer even if 93% of the agents/data are malicious (with only 7% of agents/data telling us the correct information)
basically the idea here is if you want to build autonomous at scale, you need to be able to resolve disagreement at scale and this project does a pretty nice job at doing that
My question was on claims like "5x productivity boost in merged PRs (lots of open PR & merge rate goes down, but net positive)", eg, does this change anything on swe-bench or any other standard coding eval?
The ecosystem is 8 tools plus a claude code plugin, the unlock was composing those tools (I don't regularly use all 9). The 5x claim was from /insights (claude code)
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