🔗 Do larger PRs get merged faster?

I’m Vaishant, one of the co-founders of Greptile - an AI that does a first-pass review of pull requests with complete context of the codebase. Teams use it because it helps them review PRs faster and find more bugs and antipatterns. As a result, we spend a lot of time studying PRs. We study how long they tend to stay open, what affects how long they stay open, the size of a typical PR, etc.

Recently, I decided to study ~24,300 merged PRs from ~100 engineering orgs of different sizes, ranging from 10 to 500 engineers. I picked a fairly balanced sample so orgs of different sizes were equally represented. There were a handful of interesting patterns I observed and documented with some possible explanations here.

Some notes about this data sample:

Metric	Mean	25th %ile	50th %ile	75th %ile	Max
Changed Files	10.3	1	3	9	631
Additions	368	6	38	193	99.1k
Deletions	213	2	10	55	76.1k