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In my experience it seems like it finds one bug in an area then kind of gives up and goes somewhere else, and I wonder if it has to do with how training works; if they're deliberately setting up single bugs per area, so it acts most "efficiently" when it stops work in that area once it's found "the" bug.
You know you can just ask another unbiased agent to look for more bugs right?
In the context of "after the first pass with an agent, a second pass with the same agent will still find more bugs", how is that relevant?