RationaleAnchor: Preserving Architectural Intent Across Human and AI Transitions

This paper introduces RationaleAnchor, a specification and reference implementation for preserving architectural intent as a first-class, verifiable artifact. RationaleAnchor defines a YAML schema capturing purpose, canonical goals, non-goals, invariants, dependencies, evidence, status, and human authority for every significant artifact. It provides automated validation of structural integrity, bidirectional dependency consistency, invariant verifiability, and succession plan executability. The reference implementation (Python 3.10+, zero mandatory dependencies) includes a CLI with 7 commands: validate, graph, check-drift, diff, intent-governance, conflict-check, succession-plan. RationaleAnchor extends Knowledge Continuity Engineering (KCE) with Layer 0 (Intent), resolving the bus factor of intent: when the original architect is unavailable, structured intent records preserve the rationale for design decisions. Validated on three artifacts from the BRIDGRAI ecosystem (KCE, CAMP, SIGNA) with 7/7 tests passing.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22874795
Primary Topic
Design Education and Practice
Type
preprint
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preprint

RationaleAnchor: Preserving Architectural Intent Across Human and AI Transitions

Mihai Rosca
Zenodo (CERN European Organization for Nuclear Research)
Design Education and Practice
preprint

RationaleAnchor: Preserving Architectural Intent Across Human and AI Transitions

Mihai Rosca
preprint en

Abstract

This paper introduces RationaleAnchor, a specification and reference implementation for preserving architectural intent as a first-class, verifiable artifact. RationaleAnchor defines a YAML schema capturing purpose, canonical goals, non-goals, invariants, dependencies, evidence, status, and human authority for every significant artifact. It provides automated validation of structural integrity, bidirectional dependency consistency, invariant verifiability, and succession plan executability. The reference implementation (Python 3.10+, zero mandatory dependencies) includes a CLI with 7 commands: validate, graph, check-drift, diff, intent-governance, conflict-check, succession-plan. RationaleAnchor extends Knowledge Continuity Engineering (KCE) with Layer 0 (Intent), resolving the bus factor of intent: when the original architect is unavailable, structured intent records preserve the rationale for design decisions. Validated on three artifacts from the BRIDGRAI ecosystem (KCE, CAMP, SIGNA) with 7/7 tests passing.

Zenodo (CERN European Organization for Nuclear Research)
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Design Education and Practice
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RationaleAnchor: Preserving Architectural Intent Across Human and AI Transitions — Mihai Rosca · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS