Constitutional Agentic Compilation

Contemporary software production remains dominated by imperative implementation, where human-authored code is the primary artifact and specifications are secondary, informal, or lossy. This paper introduces Constitutional Agentic Compilation (CAC), a paradigm in which the primary artifact is a constitutional specification--a Codex encoding invariants, configuration space, and admissibility conditions--and executable systems are derived through bounded-discretion transformation. CAC departs from both classical compilation and unconstrained program synthesis. Unlike traditional compilers, which perform deterministic transformations over fully formalized inputs, CAC operates on semantically structured specifications that deliberately preserve degrees of freedom. Unlike open-ended synthesis, CAC constrains the realization space through explicit invariants, ablation-tested boundaries, and embedded reasoning scaffolds. The result is a compilation process in which agents--human or artificial--exercise controlled discretion within a constitutionally defined envelope. Correctness in CAC is defined not by output identity but by invariant preservation and gate-test satisfaction, yielding equivalence classes of realizations rather than singular outputs. This enables multiple independent agents to produce structurally distinct yet constitutionally equivalent systems from the same specification. We formalize CAC as a layered transformation pipeline--Human Intent -> Constitutional Codex -> Canonical MCIR -> Agentic Realization -> Executable System--and argue that it represents a new intermediate computational layer between intent and execution. We further show that CAC aligns with governance-oriented frameworks such as semantic hashing, invariant-based verification, and epistemic constraint systems, including Governed Context & Memory (GCM) .

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23848573
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constitutional Agentic Compilation

Adam Ableman
Zenodo (CERN European Organization for Nuclear Research)
Logic, programming, and type systems
article

Constitutional Agentic Compilation

Adam Ableman
article en

Abstract

Contemporary software production remains dominated by imperative implementation, where human-authored code is the primary artifact and specifications are secondary, informal, or lossy. This paper introduces Constitutional Agentic Compilation (CAC), a paradigm in which the primary artifact is a constitutional specification--a Codex encoding invariants, configuration space, and admissibility conditions--and executable systems are derived through bounded-discretion transformation. CAC departs from both classical compilation and unconstrained program synthesis. Unlike traditional compilers, which perform deterministic transformations over fully formalized inputs, CAC operates on semantically structured specifications that deliberately preserve degrees of freedom. Unlike open-ended synthesis, CAC constrains the realization space through explicit invariants, ablation-tested boundaries, and embedded reasoning scaffolds. The result is a compilation process in which agents--human or artificial--exercise controlled discretion within a constitutionally defined envelope. Correctness in CAC is defined not by output identity but by invariant preservation and gate-test satisfaction, yielding equivalence classes of realizations rather than singular outputs. This enables multiple independent agents to produce structurally distinct yet constitutionally equivalent systems from the same specification. We formalize CAC as a layered transformation pipeline--Human Intent -> Constitutional Codex -> Canonical MCIR -> Agentic Realization -> Executable System--and argue that it represents a new intermediate computational layer between intent and execution. We further show that CAC aligns with governance-oriented frameworks such as semantic hashing, invariant-based verification, and epistemic constraint systems, including Governed Context & Memory (GCM) .

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Logic, programming, and type systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon