What is the best way to structure a GitHub pull request review process for a distributed engineering team across multiple time zones
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to structure a GitHub pull request review process for a distributed engineering team across multiple time zones
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
GitHub documentation pull request reviews CODEOWNERS required reviews merge protection draft pull requests Google ↗
Google engineering practices code review guidelines small changes review turnaround asynchronous collaboration Google ↗
- eng-practices/review/reviewer/speed.md at master · google/eng-practices · github.com
- eng-practices/review/reviewer/looking-for.md at master · google/eng-practices · github.com
- Speed of Code Reviews · google.github.io
- About code owners · docs.github.com
- docs/content/repositories/configuring-branches-and-merges-in-your-repository/managing-protected-branches/about-protected-branches.md at main · github/docs · github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
GitHub documentation pull request reviews CODEOWNERS required reviews merge protection draft pull requests OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Google engineering practices code review guidelines small changes review turnaround asynchronous collaboration OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |