Review economics
lerna/lerna
Read from the 100 most recently merged pull requests ·
Pull requests with attributed agent authorship took only 0.5× the reviews submitted of the rest.
≥7%
Attributed
a floor
5
Attributed PRs
95
Other PRs
100
Read
Attributed — the latest 5
#4402 feat(publish)!: use .sha-{SHA} prerelease identifiers for --canary
1 reviews · 1h to merge
#4397 chore(deps): bump js-yaml to 4.3.0 and tar to 7.5.20
1 reviews · 6.0d to merge
#4379 chore: consolidate dependency updates
0 reviews · 1h to merge
#4378 docs: add AGENTS.md with Cursor Cloud development setup notes
1 reviews · 0h to merge
#4294 chore(repair): update e2e snapshot
1 reviews · 0h to merge
The rest — the latest 5
#4407 chore(deps): bump ip-address from 10.2.0 to 10.4.0
0 reviews · 9h to merge
#4406 chore(deps): bump tar to 7.5.22
2 reviews · 6h to merge
#4403 chore: nx 23.1 floor instead of 23.0
0 reviews · 0h to merge
#4396 chore: upgrade website dependencies
0 reviews · 0h to merge
#4394 chore: update pkg.pr.new dev dep and run npm audit fix
0 reviews · 0h to merge
How this was measured
7% 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; 2 PRs came off an agent branch with no commit attribution, so the real share runs higher; reads 100 of 1078 merged PRs — the rest have not been analyzed yet.
Detected: Claude Code, OpenAI Codex, Cursor 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
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