A Programming Paradigm for Spatiotemporal Composability
Yifan Shi, Wei Zhang, Tianyi Cui
Abstract
Modern software -- from plugin systems to self-evolving agent harnesses -- increasingly requires dynamic composition, yet its formal foundations remain underdeveloped. We identify two orthogonal dimensions of the problem: temporal composability, the ability to completely revert a component's side effects upon removal, and spatial composability, the ability to declare and reactively manage inter-component dependencies. We address the two dimensions by lifting classical effect and coeffect concepts to runtime mechanisms. In particular, we formalize revertible effects, in which every context transformation carries an inverse that the runtime holds, establishing temporal composability local to one component. We formalize reactive coeffects, in which every context change is classified against a component's coeffect specification to drive its activation and deactivation, establishing spatial composability local to one component. We then unify the effect context and the coeffect context into a single context type and mediate every effect and coeffect through it, yielding a discipline we call the context paradigm; the mediation induces an observational equivalence up to which the effects of distinct components interleave without disturbing one another. Combining these mechanisms into the notion of a component, we give a calculus of dynamic composition whose metatheory carries spatiotemporal composability from a single component to a whole system of interleaved components. We implement these ideas in Cordis, a meta-framework of spatiotemporal composability that provides a core library with effect tracking and coeffect resolution, as well as a declarative component loader with configuration reconciliation and hot module replacement.
Create a lesson
Related papers
Tacet: A Language and Type System for Automatic Statistical Validity Accounting
Chiké Abuah
You may implement this later: Cofunctors as partial implementations
Vincent Wang-Maścianica
Direct Manipulation and Natural Language Programming, Together at Last?
Parker Ziegler, David Minh-Duy Cao, Justin Lubin et al.
MGQL: An Executable, Small-Step Semantics of GQL
Aditya Thimmaiah, Tong-Nong Lin, Milos Gligoric
NoC-Out: A Formally-verified Network-on-Chip Library for Rule-based Hardware Designs
Max Kurze, František Farka, Sebastian Ertel
IncSFS: Incremental Full-Sparse Flow-Sensitive Pointer Analysis for C/C++
Kunlin Liu, Zhenbang Chen, Piyi Zu et al.