DoGBench: The first user-facing docs generation benchmark. No model scores >50%
Documentation generation benchmark DoGBench Can agents meet expert standards for user-facing documentation? DoGBench evaluates agents that write and maintain user-facing software documentation in response to real repository events and reported documentation gaps. Each patch is scored with rubrics validated with project maintainers.
- ▪Documentation generation benchmark DoGBench Can agents meet expert standards for user-facing documentation?
- ▪DoGBench evaluates agents that write and maintain user-facing software documentation in response to real repository events and reported documentation gaps.
- ▪Each patch is scored with rubrics validated with project maintainers.
Hacker News (Front Page) files mainly under programming. We currently carry 2,385 of its stories. Top-voted stories on Hacker News.
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 | Dogbench |
| Canonical URL | https://dogbench.ai/ |
| Publication time | Thu, 01 Oct 2026 23:10:32 +0000 |
| Retrieval time | 2026-10-02T00:07:55.012Z |
| Last seen | 2026-10-02T00:07:55.012Z |
| 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 | U9Luf5q5H3da · 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
Documentation generation benchmark DoGBench Can agents meet expert standards for user-facing documentation? DoGBench evaluates agents that write and maintain user-facing software documentation in response to real repository events and reported documentation gaps. Each patch is scored with rubrics validated with project maintainers. The scores measure progress toward that standard, not performance relative to a human expert. View leaderboard Summary Paper GitHub / Code Dataset 10Systems evaluated7 local lanes, 3 cloud agents 117Held-out items 82Patch-needed items 54.8Highest composite scoreheld by a cloud agent Leaderboard Evaluation set Held-out · 117 items All items · 292 items Show systems Model + harness Cloud agents Promptless: This was the same production agent available to all…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Dogbench.
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