Prompt2ELF: An LLM wrote a 449-byte HTTP server without a compiler
Prompt2ELF Prompt2ELF is a reusable Agent Skill for direct, zero-toolchain generation of Linux x86-64 ELF executables. Instead of generating C, Rust, assembly, a build configuration, or a framework project, the coding agent reasons directly about the executable format, instruction encoding, operating system ABI, syscall interface, memory layout, and data representation. Its output is the final sequence of bytes that the target machine executes.
- ▪Prompt2ELF Prompt2ELF is a reusable Agent Skill for direct, zero-toolchain generation of Linux x86-64 ELF executables.
- ▪Instead of generating C, Rust, assembly, a build configuration, or a framework project, the coding agent reasons directly about the executable format, instruction encoding, operating system ABI, syscall interface, memory layout, and data re
- ▪Its output is the final sequence of bytes that the target machine executes.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,468 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 | GitHub |
| Canonical URL | https://github.com/faustinoaq/prompt2elf |
| Publication time | Fri, 25 Sep 2026 17:08:32 +0000 |
| Retrieval time | 2026-09-25T17:25:38.556Z |
| Last seen | 2026-09-25T17:25:38.556Z |
| 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 | B2TCs3YYQ8nj · 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
Prompt2ELF Prompt2ELF is a reusable Agent Skill for direct, zero-toolchain generation of Linux x86-64 ELF executables. Instead of generating C, Rust, assembly, a build configuration, or a framework project, the coding agent reasons directly about the executable format, instruction encoding, operating system ABI, syscall interface, memory layout, and data representation. Its output is the final sequence of bytes that the target machine executes. The bundled Linux x86-64 reference suite includes four programs: A 167-byte Hello World executable A 334-byte hexadecimal binary writer A 322-byte ASCII Mandelbrot renderer A 449-byte HTTP server listening on 0.0.0.0:9000 No compiler, assembler, linker, package manager, standard library, language runtime, or application framework is required to…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.