Review economics
BurntSushi/ripgrep
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.
≥0%
Attributed
a floor
1
Attributed PRs
99
Other PRs
100
Read
Attributed — the latest 1
The rest — the latest 5
#3502 ignore,globset: increase pool capacity
0 reviews · 0h to merge
#3501 ci: fix binary discovery
0 reviews · 0h to merge
#3248 Fix compression tests in QEMU cross-compilation environments
1 reviews · 0h to merge
#3495 ci: attest build provenance for release archives
0 reviews · 1h to merge
#3490 index: remove incorrect README
0 reviews · 0h to merge
How this was measured
0% 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 571 merged PRs — the rest have not been analyzed yet.
Detected: 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
The badge reads this repo’s current report, so it follows the number.
Tell me when this moves
We re-read BurntSushi/ripgrep weekly and email only when the number changes materially.
Read your own repos
This one is public. For a private repo, run the same read locally through your own GitHub credentials — nothing is installed and nothing is sent to us.
npx @ambera/review-taxWant this continuously on BurntSushi/ripgrep — each pull request paired to the task it came from, and the work graded from its review loop rather than its diff size? Claim this repo in Forge
Browse every repo people have read · Read a different repository