WeSearch
What we owe reviewers in the age of AI

What we owe reviewers in the age of AI

Collin McNulty· ·2 min read · 0 reactions · 0 comments · 5 views
More from Hacker News (AI / LLM) ai Compare coverage Trending Talk Blindspots Daily Sources Live wire
TL;DR · WeSearch summary

In the age of AI, that problem has been supercharged, and now not only of the largest open source projects, but essentially every repo at every organization is receiving a deluge of pull requests of dubious quality. That means we all need to be working to make the reviewer’s job as easy as possible, even when it demands more time from us as the author.Remember that when you are opening a PR and asking for review, you are making request for the time and effort of a fellow human being, which I believe is a sacred act. In the past, you earned your claim on that time with every keystroke you spent writing the code.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 4,791 of its stories.

Original article
Hacker News (AI / LLM) · Collin McNulty
Read full at Hacker News (AI / LLM) →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherHacker News (AI / LLM)
Canonical URLhttps://carbonandsilicon.substack.com/p/what-we-owe-reviewers-in-the-age
Publication timeMon, 14 Sep 2026 12:26:38 +0000
Retrieval time2026-09-14T12:36:51.334Z
Last seen2026-09-14T12:36:51.334Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterZ_dUisrpwyl8 · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

What we owe reviewers in the age of AISpending a couple bucks on tokens does not entitle you to precious review timeCollin McNultySep 08, 202641Share(Adapted from my Lightning talk at Apache Airflow Summit 2026)For a long time in open source projects like Airflow, the limiting factor for improving the project hasn’t been the amount of people writing code, but the amount of people willing and able to review those changes to make sure they are sensible, high quality, and aligned with the goals of the project. In the age of AI, that problem has been supercharged, and now not only of the largest open source projects, but essentially every repo at every organization is receiving a deluge of pull requests of dubious quality.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments