Show HN: Recast, an experimental Smalltalk app that repairs itself with an LLM
Recast A Smalltalk application that uses an LLM to repair itself while it runs. Recast wires an LLM into a running application's exception path. A failing call supplies the stack, method source, receiver state, and tests.
- ▪Recast A Smalltalk application that uses an LLM to repair itself while it runs.
- ▪Recast wires an LLM into a running application's exception path.
- ▪A failing call supplies the stack, method source, receiver state, and tests.
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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/rot13maxi/recast |
| Publication time | Mon, 05 Oct 2026 15:08:03 +0000 |
| Retrieval time | 2026-10-05T15:12:38.495Z |
| Last seen | 2026-10-05T15:12:38.495Z |
| 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 | PCzA_MhNpu6a · 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
Recast A Smalltalk application that uses an LLM to repair itself while it runs. Recast wires an LLM into a running application's exception path. A failing call supplies the stack, method source, receiver state, and tests. The model can propose a repair; a separate VM checks it before the application replaces the method in its live image. Subsequent calls use the new code, without a rebuild or restart. The working demo is a vending machine with a deliberately broken dispense method. With automatic repair enabled, an ordinary call triggers the whole loop—no lk heal command or manually written repair prompt. Here is a shortened transcript, after injecting the failure: $ ./lk eval "| vm | vm := VendingMachine make. vm insertCoin: 60.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.