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

Mark Marron, Earl T. Barr
9/9/2026
cs.SEcs.AI

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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.

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@article{marron2026ajit,
  title  = {A-JIT: Agentic Just-In-Time Software Construction},
  author = {Mark Marron and Earl T. Barr},
  year   = {2026},
  eprint = {2609.10248},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2609.10248v1}
}

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