
What we owe reviewers in the age of AI
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.
- ▪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
- ▪In the past, you earned your claim on that time with every keystroke you spent writing the code.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,791 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
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 publisher | Hacker News (AI / LLM) |
| Canonical URL | https://carbonandsilicon.substack.com/p/what-we-owe-reviewers-in-the-age |
| Publication time | Mon, 14 Sep 2026 12:26:38 +0000 |
| Retrieval time | 2026-09-14T12:36:51.334Z |
| Last seen | 2026-09-14T12:36:51.334Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Z_dUisrpwyl8 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).