Research agenda, hypotheses, experimental protocols, evaluation reports.
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Updated
Nov 2, 2026
Research agenda, hypotheses, experimental protocols, evaluation reports.
Source Engineering: a discipline and framework for grounding AI-based decisions with integrity. Chain of Orchestrable and Traceable Sources (COTS), the five pillars, and the four-layer stack.
Canonical conceptual and data model for the Source Engineering discipline.
Discipline definition, principles, terminology, scope and non-goals.
Practitioner guidance for the Source Engineering discipline.
Change process, ADRs, RFCs, maintainer responsibilities, release policy.
Curriculum and learning resources for the Source Engineering discipline.
Working reference implementation of the Source Engineering discipline. TypeScript.
Conformance test suite for the Source Engineering discipline.
Evaluated demonstrations and case studies for the Source Engineering discipline.
Reusable software utilities for the Source Engineering discipline.
Normative technical requirements. The COTS spec lives under specifications/cots/.
Reference architecture, blueprint stack, per-layer interface contracts.
Governs how the Source Engineering discipline evolves. Discipline home: https://github.com/Source-Engineering
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