A-JIT: Agentic Just-In-Time Software Construction
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 3 of its 15 references that are in the map. First posted on arXiv 9 Sep 2026.
Builds on
3 of 15 references.
References · 3
- 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Surveycited by 28
- 2018Live Functional Programming with Typed Holescited by 7
- 2025Independent Test Generation for RESTful APIscited by 1
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Similar, not cited
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