I.3 Model-Based Agentic Engineering Beyond Software

MAGE is framed as a software-engineering method because software supplies the evidence developed in this book. Its underlying arrangement may have a broader domain of application: a capable autonomous reasoner acts through explicit representations of an engineered object, operates under selected constraints and evidence requirements, and leaves consequential judgment with accountable engineers.

That arrangement is not inherently specific to source code. Mechanical design already has persistent representations of geometry, interfaces, tolerances, requirements, and physical behavior. Electrical and systems engineering have schematics, architecture models, simulations, requirements, and assurance arguments. Knowledge-intensive organizational work has weaker formal structure but often possesses recurring entities, relations, workflows, policies, and evidentiary obligations. In each case, autonomous realization raises a similar question: what environment should be engineered around the reasoner so that consequential properties remain explicit, observable, and governable?

The conjecture should not be that every discipline will converge on MAGE. Different realization substrates impose different economics and authority regimes. Physical fabrication remains costly; safety cases may be legally constrained; some domains already have mature model-centered practice; others depend primarily on social or scientific judgment that resists mechanization. The research question is whether the same architectural variables—representation, correspondence, evidence, authority, residual degrees of freedom, and durable engineering capital—predict where autonomous engineering succeeds.

Comparative work could therefore start from established engineering workflows rather than importing software machinery directly. Observe how autonomous tools operate in CAD, EDA, systems engineering, or scientific-modeling environments that already contain explicit models. Ask which representations agents can use without reconstruction, which obligations can be delegated to existing analysis machinery, which new correspondence problems autonomous work creates, and where human responsibility remains irreducible.

The strongest test would be comparative rather than rhetorical. If a common architecture exists, independently evolved agentic engineering systems should exhibit homologous structures despite different artifacts: purposeful representations, machine-readable constraints, independently produced evidence, allocated authority, and mechanisms that turn recurring judgment into reusable capacity. If those structures do not recur—or if software's unusually symbolic realization substrate is essential to the effect—the generalization should fail.

Possible paper seed: From Agentic Software Engineering to Agentic Engineering: A Comparative Theory of Governed Autonomous Realization.