Abstract
Systems and methods store a hierarchical knowledge graph for navigating and changing distributed software systems. A product layer defines product identity, system bindings, and an end-to-end dataflow across system domains. A system knowledge graph includes a four-level specification hierarchy: domain specifications with intent phrases and ownership metadata; feature specifications with typed accepts/produces compositional contracts; behavior specifications with given/when/then invariants; and technical specifications with implementation anchors and referenced skills. An agent follows a six-phase change protocol: understand a request via semantic discovery over intent phrases, plan by traversing bindings and dataflow to identify impacted specs and code locations for approval, execute by invoking composable skills in dependency order, validate via behavioral invariants, integrate via end-to-end dataflow validation, and update specifications using immutable change entries under governance. Flat identifiers with parent pointers and bidirectional cross-references with coupling semantics support refactoring and impact analysis; drift detection may reconcile specs with code or runtime behavior.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Hierarchical Multi-Level Knowledge Graph with Compositional Contracts for AI Agent Navigation of Distributed Software Systems", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10770