The survival rate metric is the one I find most telling — how much of what Claude wrote actually made it past code review unchanged. In practice it hovers aroun

The survival rate metric is the one I find most telling — how much of what Claude wrote actually made it past code review unchanged. In practice it hovers around 30-40% for anything non-trivial, which reframes the whole cost calculation. Have you noticed patterns in which types of tasks have the highest token burn but lowest line survival? Curious if it's test generation or refactoring that kills the ratio most.