AI Changes the Economics of JIT Compilers
The economics of Just-In-Time (JIT) compilers have changed with the introduction of Artificial Intelligence (AI). AI makes it easier to write JIT compilers with fast compile times by directly targeting assembly. This change brings new opportunities for databases to improve their performance and efficiency.
- ▪Historically, writing a fast JIT compiler required knowledge of assembly language.
- ▪Most production-ready databases use LLVM or generate C/C++ code, which suffers from high compile times.
- ▪AI assistance has made it easier to implement JIT compilers, as seen in the development of pgrust.
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| Original publisher | malisper.me |
| Canonical URL | https://malisper.me/how-ai-changes-the-economics-of-jit-compilers/ |
| Publication time | Tue, 11 Aug 2026 17:03:51 +0000 |
| Retrieval time | 2026-08-11T17:10:44.258Z |
| Last seen | 2026-08-11T17:10:44.258Z |
| 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 | 6zVRdc8lJiss · 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 |
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| 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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at malisper.me.