Research
GROUNDING.md Proposes Community-Governed Epistemic Grounding for Agentic AI-Assisted Coding
Paper proposes GROUNDING.md — a community-governed, field-scoped epistemic grounding document for agentic AI coding workflows, using mass spectrometry-based proteomics as a case study. As vibe coding evolves into fully agentic software development with plan documents and method-scoped context, this work argues for standardized domain-knowledge documents that prevent AI agents from generating plausible but scientifically incorrect code. Directly relevant to anyone building agent scaffolds with CLAUDE.md-style context.
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