Tomosu, scores AI generated code against your repo's own incident history
Tomosu AI is the braking system, policy plane, and risk ledger: the layer every enterprise is about to require. Review tools comment on a diff; an AI code governance layer decides what reaches production, scores the risk, and keeps the evidence. More on the missing layer and why AI-generated code needs different pre-screening.
- ▪Tomosu AI is the braking system, policy plane, and risk ledger: the layer every enterprise is about to require.
- ▪Review tools comment on a diff; an AI code governance layer decides what reaches production, scores the risk, and keeps the evidence.
- ▪More on the missing layer and why AI-generated code needs different pre-screening.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,144 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 | Tomosu AI |
| Canonical URL | https://tomosu.ai/ |
| Publication time | Wed, 16 Sep 2026 11:42:32 +0000 |
| Retrieval time | 2026-09-16T11:53:41.588Z |
| Last seen | 2026-09-16T11:53:41.588Z |
| 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 | J1pRJcd8CXTa · 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
AI assistants are the gas pedal. Observability is the rear-view mirror. Tomosu AI is the braking system, policy plane, and risk ledger: the layer every enterprise is about to require. We call this category AI code governance. It is not what AI code review tools do. Review tools comment on a diff; an AI code governance layer decides what reaches production, scores the risk, and keeps the evidence. More on the missing layer and why AI-generated code needs different pre-screening. Not an AI code assistant Not a static analyzer Not an APM or logging tool Not a PR review chatbot Not a CI pipeline runner Not a ticketing or ITSM platform
Excerpt limited to ~120 words for fair-use compliance. The full article is at Tomosu AI.
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