Governance for Agentic Coding Environments

VibeOps is an open framework for getting consistent, measurable, production-quality results from AI coding agents. Where vibe coding gives you speed, VibeOps gives you control.

AI coding agents are powerful but ungoverned. Without a shared contract, every session starts from scratch — leading to architecture drift, inconsistent output, and results you can't reproduce or measure.

VibeOps fixes this.

AGENTS.md — a structured governance contract that primes every agent session with project context, constraints, and architectural rules.

VibeCheck Score — a composite metric that measures agent output quality across correctness, architecture alignment, and spec adherence.

Spec-First Rule — every agent task begins with a written specification. No spec, no code.

Architecture Distance — quantifies drift between the intended and actual architecture an agent produces.

12 Vibing Factors — the governance dimensions of a well-run agentic coding environment, adapted from 12-Factor App principles.

Controlled experiments using MLflow tracking across primed vs unprimed Claude Code sessions on the same codebase:

Control (unprimed):    VibeCheck Score ~38
VibeOps-primed:        VibeCheck Score ~70

Improvement: +82.8%

Full methodology in the preprint →

# Score your codebase
pip install vibecheck-cli
vibecheck score .

• 🌐 Website
• 📄 Preprint — Zenodo 18741405
• 💬 Discussions