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The validation loop that stops AI coding agents from claiming work is done before it actually is.

6 starsRust

Musts – Open-source validation loops for AI coding agents

by bitomule·May 25, 2026·1 point·0 comments

AI Analysis

●●●BangerBig BrainSolve My Problem

Stops AI agents from lying about finished work by enforcing evidence-based validation loops.

Strengths
  • Defines 'done' as an executable state rather than a probabilistic guess by the LLM.
  • Agent-agnostic design works with Claude Code, Cursor, or any shell-capable automation.
  • Evidence logging creates an auditable trail of exactly what tests passed before merging.
Weaknesses
  • Requires agents to follow specific prompting instructions to obey the validation loop.
  • Initial setup of MUSTS.yml manifests adds friction to quick prototype iterations.
Target Audience

Developers using AI coding agents like Claude Code

Similar To

Pre-commit hooks · Claude Code · GitHub Actions

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