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.
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.