Rust-lang/rust is adopting an LLM policy
Recently, five teams in the Rust project adopted a policy that I originally authored, governing how Large Language Models can be used when contributing to the rust-lang/rust monorepo. Notably, the new policy is not an official stance on LLMs, and does not apply everywhere in the Rust project. I wrote it for a very specific purpose, described below.
- ▪Recently, five teams in the Rust project adopted a policy that I originally authored, governing how Large Language Models can be used when contributing to the rust-lang/rust monorepo.
- ▪Notably, the new policy is not an official stance on LLMs, and does not apply everywhere in the Rust project.
- ▪I wrote it for a very specific purpose, described below.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,626 of its stories.
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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 | Rust-lang |
| Canonical URL | https://blog.rust-lang.org/inside-rust/2026/08/05/rust-langrust-is-adopting-an-llm-policy/ |
| Publication time | Wed, 05 Aug 2026 05:52:24 +0000 |
| Retrieval time | 2026-08-05T06:05:44.630Z |
| Last seen | 2026-08-05T06:05:44.630Z |
| 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 | cG0rZyMgMLeM · 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
Recently, five teams in the Rust project adopted a policy that I originally authored, governing how Large Language Models can be used when contributing to the rust-lang/rust monorepo. Notably, the new policy is not an official stance on LLMs, and does not apply everywhere in the Rust project. I wrote it for a very specific purpose, described below. This post talks about why we created that policy, what it says, and how this will affect contributors. The policy affects the following groups of people: People who review or moderate PRs on rust-lang/rust. People who author PRs with LLM-generated code on rust-lang/rust. People who discover issues using LLMs and post them on rust-lang/rust. People who write issues or comments that directly quote an LLM on rust-lang/rust.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Rust-lang.
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