Computational · Paper · 2026

Codomyrmex: An Artificial Ecology for Agentic Software Development

Daniel Ari Friedman

Zenodo

Catalog Row206
Citation KeyFriedman2026CodomyrmexArtificialEcologyAgentic206
Paper FolderAvailable

Overview

Extracted from the local paper documentation when available.

Agentic software can preserve task state while still forgetting the consequences of prior actions. Codomyrmex studies a narrow control-plane question: after a caller reports a failed action at one software location, can the system deterministically increase friction for a materially similar proposal at that location without changing an unrelated target? Its Colony Control Plane records...

ai-agentsmodel-context-protocolmcpmulti-agentorchestrationcolony-control-planestigmergyartificial-ecologyagentic-software-engineeringfalsification-workeractuation-gatetrust-scoring

Use Notes

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Findings / Concepts
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Citation

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Friedman, Daniel Ari. 2026. Codomyrmex: An Artificial Ecology for Agentic Software Development. Zenodo. DOI: 10.5281/zenodo.21750800. URL: https://doi.org/10.5281/zenodo.21750800.

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