Human-Certified Module Repositories for the AI Age

• URL: http://arxiv.org/abs/2603.02512v2
• Date: Wed, 04 Mar 2026 17:58:26 GMT
• Title: Human-Certified Module Repositories for the AI Age
• Authors: Szilárd Enyedi,
• Abstract summary: Human-Certified Module Repositories (HCMRs) are introduced in this work as a new architectural model for constructing trustworthy software.<n>HCMRs blend human oversight with automated analysis to certify modules and support safe, predictable assembly by both humans and AI agents.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Human-Certified Module Repositories (HCMRs) are introduced in this work as a new architectural model for constructing trustworthy software in the era of AI-assisted development. As large language models increasingly participate in code generation, configuration synthesis, and multi-component integration, the reliability of AI-assembled systems will depend critically on the trustworthiness of the building blocks they use. Today's software supply-chain incidents and modular development ecosystems highlight the risks of relying on components with unclear provenance, insufficient review, or unpredictable composition behavior. We argue that future AI-driven development workflows require repositories of reusable modules that are curated, security-reviewed, provenance-rich, and equipped with explicit interface contracts. To this end, we propose HCMRs, a framework that blends human oversight with automated analysis to certify modules and support safe, predictable assembly by both humans and AI agents. We present a reference architecture for HCMRs, outline a certification and provenance workflow, analyze threat surfaces relevant to modular ecosystems, and extract lessons from recent failures. We further discuss implications for governance, scalability, and AI accountability, positioning HCMRs as a foundational substrate for reliable and auditable AI-constructed software systems.

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