A-JIT: Agentic Just-In-Time Software Construction

Abstract:Traditional software delivery assumes a static paradigm: code is constructed prior to execution and deployed as a fixed artifact. We present Agentic Just-In-Time Software Construction (A-JIT), a paradigm that replaces static binaries with dynamic, software systems that can perpetually evolve to meet changing demands. In A-JIT, an application is an integrated assembly comprising code, a runtime harness, and an embedded AI agent that continuously observes system usage and live execution traces. Much like a traditional JIT compiler specializes machine code to runtime execution paths, A-JIT specializes software logic, workflows, and tool interfaces to meet the specific needs of the end-user. By integrating synthesis directly into the ambient application lifecycle, A-JIT enables applications to dynamically construct missing implementations, generate new capabilities on the fly, and continuously adapt to end-user behavior. We demonstrate how this model supports trace-driven human-AI co-construction and opens a new design space for adaptive, self-evolving software.

Software Engineering (cs.SE); Artificial Intelligence (cs.AI)

arXiv:2609.10248 [cs.SE]

(or arXiv:2609.10248v1 [cs.SE] for this version)

https://doi.org/10.48550/arXiv.2609.10248 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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