Review economics
microsoft/SkillOpt
Read from the 90 most recently merged pull requests ·
Pull requests with attributed agent authorship took 1.3× the reviews submitted of the rest.
≥35%
Attributed
a floor
25
Attributed PRs
65
Other PRs
90
Read
Attributed — the latest 5
#184 feat(sleep): group mined tasks by skill hint with catch-all fallback
3 reviews · 5.1d to merge
#134 feat(adapters): Superpowers skill evaluation adapter
1 round · 15 reviews · 14.0d to merge
#173 fix(sleep): surface silent rule-judge and edit failures
2 reviews · 7h to merge
#165 fix(sleep): keep all-test batches out of consolidate train/val
1 reviews · 14h to merge
#135 Fix #117: include .md prompt files in wheel + handle Windows temp-dir cleanup
0 reviews · 5h to merge
The rest — the latest 5
#83 feat(sleep): add Pi transcript source and CLI backend
5 reviews · 40.3d to merge
#196 fix(sleep): avoid mutating tasks while grouping
1 reviews · 0h to merge
#193 fix(sleep): harden Copilot transcript harvesting
1 reviews · 0h to merge
#183 feat(sleep): propagate harvested skill hints into mined tasks
1 round · 4 reviews · 4.0d to merge
#191 feat(sleep):Support harvest from Vscode copilot sessions
5 reviews · 31h to merge
How this was measured
35% 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; 7 PRs came off an agent branch with no commit attribution, so the real share runs higher.
Detected: Devin, GitHub Copilot coding agent, Claude Code, Cursor agent, OpenAI Codex.
“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
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