arXiv AI By Yufan Dang, Shu Yao, Bowen Lai, Chenting Xu, Ruijie Shi, Wai-Shing Leung, Huatao Li, Chen Qian, Zhiyuan Liu

ChatDev 2.0: A No-Code Multi-Agent Platform for Developing Everything

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ChatDev 2.0, also called DevAll, is a no-code platform that lets users build, run, and inspect heterogeneous multi‑agent systems (MAS) powered by large language models. It combines a declarative executable graph abstraction with a cycle‑aware execution engine, enabling representation and execution of dynamic, cyclic interactions among diverse agents. The integrated visual interface allows users to author, monitor, and inspect MAS—including human‑in‑the‑loop steps—without writing code, and experiments show it matches state‑of‑the‑art MAS performance across three tasks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Sep 11

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

The paper introduces Agentic Just-In-Time Software Construction (A-JIT), a paradigm that replaces static software binaries with dynamic systems capable of continuous evolution. In A-JIT, an application consists of code, a runtime harness, and an embedded AI agent that observes usage and execution traces to specialize software logic, workflows, and tool interfaces for each user. This approach enables applications to dynamically generate missing implementations, create new capabilities on the fly, and adapt continuously to end‑user behavior, thereby supporting trace‑driven human‑AI co‑construction and opening a new design space for adaptive, self‑evolving software.

By Mark Marron, Earl T. Barr
arXiv AI
Jul 21

DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines

arXiv:2607. 16617v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to automate data-processing workflows, yet coding agents typically produce scripts that are not automatically materialized as persistent, editable platform artifacts.

By Runming He, Zhen Hao Wong, Hao Liang, Zimo Meng, Chengyu Shen, Xiaochen Ma, Wentao Zhang