Review economics
CorentinJ/Real-Time-Voice-Cloning
Read from the 51 most recently merged pull requests ·
Not enough merged pull requests on both sides yet to compare how they land in review.
—
Attributed
0
Attributed PRs
51
Other PRs
51
Read
The rest — the latest 5
#1370 Fix librosa.load TypeError with newer librosa versions
0 reviews · 41h to merge
#1364 GH compliant License file
0 reviews · 0h to merge
#1349 Migrate to uv: one-command install (`uv sync`) + CI smoke test
1 reviews · 5.9d to merge
#1030 Updated link of synthesizer to original drive file
1 reviews · 17h to merge
#961 Major maintenance update
0 reviews · 0h to merge
How this was measured
No commit in this window carries agent attribution, so there is no AI-authored share to read here — which is not evidence there is none; tools that only complete code inline leave no commit trail, so the unattributed side includes AI-assisted work.
“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 CorentinJ/Real-Time-Voice-Cloning 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 CorentinJ/Real-Time-Voice-Cloning — 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