My favorite kind of graphs are ones where an entire axis is unlabeled:
You see this a lot with marketing graphs. They say nothing, but they’re designed to convince you that the graphs mean something.
Anyway, it’s neat they found and fixed, supposedly, some real bugs. I’m curious how many fake reports they had to sift through to find any real ones.
He writes 100 and that he did not yet sift through them.
But I am wondering the same. How often he had to run the same command and how long to find the right prompt
This would be meaningful if the findings were not produced by the corp trying to sell you the product being hyped. Big tech has a history of “faking it till you make it” and I can’t help but doubt that this is really just Claude Code mostly autonomously finding issues.