Review economics
TheAlgorithms/Python
Read from the 100 most recently merged pull requests ·
Not enough merged pull requests on both sides yet to compare how they land in review.
≥1%
Attributed
a floor
0
Attributed PRs
100
Other PRs
100
Read
The rest — the latest 5
#14993 [pre-commit.ci] pre-commit autoupdate
1 reviews · 0h to merge
#14936 fix: raise ValueError in encode() for non-lowercase input
1 reviews · 16.9d to merge
#14982 Upgrade ruff in pre-commit
1 reviews · 8h to merge
#14906 [pre-commit.ci] pre-commit autoupdate
2 reviews · 1h to merge
#14924 Improve docstrings in sorts/bubble_sort.py
1 reviews · 18.4d to merge
How this was measured
1% of merged commits carry agent attribution — a floor, not the share; tools that only complete code inline leave no commit trail, so the unattributed side includes AI-assisted work; reads 100 of 3088 merged PRs — the rest have not been analyzed yet.
Detected: GitHub Copilot coding agent.
“Attributed” means a commit carried an agent’s signature — a co-author trailer, an agent commit identity, or an agent bot account. Tools that only complete code inline leave no such mark, so the other column is “rest”, not “human-written”. Full method and its limits
The badge reads this repo’s current report, so it follows the number.
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