Show HN: Musts – Open-source validation loops for AI coding agents
Musts is an open-source tool designed to enhance the reliability of AI coding agents by enforcing a local definition of completion for code validation. It allows developers to specify validation tasks directly alongside their code, ensuring that all necessary checks are completed before a task is considered done. The tool operates in a loop, continuously validating and recording evidence until all tasks are resolved.
- ▪Musts provides a local, enforceable definition of done for code validation tasks.
- ▪The tool allows developers to declare validation checks next to the code they protect.
- ▪Musts operates in a loop, running validation tasks and capturing evidence until the validation report is empty.
2 outlets in our directory ran this story, first to last over 18 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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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/bitomule/musts |
| Publication time | Mon, 25 May 2026 16:44:39 +0000 |
| Retrieval time | 2026-05-25T16:57:38.841Z |
| Last seen | 2026-05-25T16:57:38.841Z |
| 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 | tFBiwVNvqrIT · 2 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
musts AI agents are fast at editing code. They are less reliable at knowing when verification is actually finished. musts gives your repository a local, enforceable definition of done: The task is not done until musts validate is empty. Instead of hoping the agent remembers every build, test, UI check, and architecture rule, you declare those checks next to the code they protect. When files change, musts validate reports the exact validation tasks still pending. The agent runs them, records evidence, and repeats until the report is clean. Get Started 1. Install the CLI # Homebrew (macOS / Linux) brew install bitomule/tap/musts # Cargo (from crates.io) cargo install musts --locked # Precompiled binaries cargo binstall musts # or download directly from GitHub Releases 2.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.