How Often Will Your Team Actually Collide?
When multiple developers on a remote or distributed team edit the same module at the same time, merge conflicts happen. The probability doesn't scale linearly with team size — like the "Birthday Paradox," it grows exponentially as team size and average files edited per day increase, because the number of ways two people can end up touching the same file in a shared pool grows much faster than the team size itself.
This calculator takes the number of developers working concurrently, the file count in the shared module, and the average files each dev edits per day, then estimates the probability of at least one conflict happening in a given day. If that number comes out high, it's worth considering splitting code ownership by module, breaking frequently-overlapping files into smaller pieces, or committing and merging on a shorter cycle.
Frequently Asked Questions
It applies logic similar to the Birthday Paradox — as total files edited per day grows relative to the shared file pool, overlap probability rises exponentially.
Split code ownership by module, break frequently-overlapping files into smaller units, and adopt trunk-based development with short, frequent commits.