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

📅 2026-09-09
📈 Citations: 0
Influential: 0
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🤖 AI Summary
A-JIT通过集成代码、运行时框架和嵌入式AI代理,使软件能够根据用户需求动态演化,解决了传统软件交付的静态模式问题。
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Agentic Just-In-Time
dynamic software systems
continuously evolve
changing demands
Innovation

Methods, ideas, or system contributions that make the work stand out.

Agentic Just-In-Time
dynamic software systems
embedded AI agent
trace-driven human-AI co-construction
self-evolving software