Sign inGet started
Paper · arXiv

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect

AI systems increasingly synthesize executable structure at runtime: LLMs generate programs, agents construct workflows,self-improving systems modify their own behavior. In classical homoiconic and staged languages, the transition from code representation to execution is unrestricted. eval is a language primitive, not a governed operation. We argue that in governed intelligent systems, this transition is an authority amplification: it converts symbolic structure into executable authority and must be mediated like any other effect. We present governed metaprogramming, a language design where program representations (machine forms) are first-class values, form manipulation is pure computatio...

AuthorsAlan L. McCann
Primary categorycs.PL
Published5 May 2026
Last updated at source26 May 2026
cs.PLcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/d5b62606-15ce-41e3-9acf-fcdc837d4d40" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.