Review economics
allegro/bigcache
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.
—
Attributed
0
Attributed PRs
100
Other PRs
100
Read
The rest — the latest 5
#429 Fixed `go test -race -bench=. .` when running in parallel systems to prevent data races
2 reviews · 6h to merge
#223 Reset full to false when pop from bytes queue
2 reviews · 12h to merge
#181 Go defaults to "0"" so in case we want to return
2 reviews · 2311.4d to merge
#420 Optimize map capacity allocation during shard initialization. #419
1 reviews · 10h to merge
#403 Revert change to how expiration timings to calculated.
2 reviews · 475.6d 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; reads 100 of 171 merged PRs — the rest have not been analyzed yet.
“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 allegro/bigcache 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 allegro/bigcache — 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