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In the #curl project, we are picking up new commit authors and contributors to the project faster than the code base is growing...
Yes, here's a new graph!
Lines of code per author + contributor
@bagder I have a hard time understanding what this graph actually shows or which point it proves.
Naturally with many new contributors the average numbers per contributor decreases.
To prove your claim wouldn't you share a graph of total LOC versus number of contributors? For #curl I believe the contributor counts grows faster than the codebase.
@dboehmer that graph literally is exactly LOC versus number of contributors (and commit authors)