Show HN: Unspaghettit – executable behavior specs for AI coding agents
Unspaghettit is an open-source project designed to enhance AI-assisted software development by providing executable specifications. It allows for a shared, machine-checkable software design document that can be updated by both humans and AI coding agents. This approach aims to reduce drift between product intent and code, making the development process more coherent and manageable.
- ▪Unspaghettit offers a local, executable specification for AI-assisted software development.
- ▪The Model Context Protocol (MCP) enables AI tools to interact with the specifications directly.
- ▪It is intended for solo developers, small teams, and technical founders who need a clear model of their product.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,301 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/lyriks-io/unspaghettit |
| Publication time | Wed, 27 May 2026 12:06:19 +0000 |
| Retrieval time | 2026-05-27T12:22:59.294Z |
| Last seen | 2026-05-27T12:22:59.294Z |
| 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 | RHgKl2lkSTAW |
| 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
Unspaghettit Executable specifications for AI-assisted software development. Local-first · MCP-native · AGPL-3.0 An open-source project by Lyriks.io. Why Unspaghettit? AI coding works best when the human and the LLM share a stable model of the product. Without one, specs drift, prompts pile up, generated systems lose coherence, and important assumptions live only in chat history. In one line: a way to keep AI-assisted software aligned with what you actually meant. What it does Unspaghettit gives humans and LLMs a shared, executable specification for the systems they build together: a local, machine-checkable software design document that agents can read and update through MCP (the Model Context Protocol — how AI tools like Claude, Cursor, and Gemini talk to local programs).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.