arXiv AI By Jie Wu, Haoran Ma, Shisong Tang, Yulin Xu, Xiaoyu Kang, Jiechao Gao

MulFCoder: Framework-conditioned Multi-agent for MLLM-based Multi-framework Front-end Code Generation

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MulFCoder is a framework-conditioned multi-agent system designed to generate runnable front‑end code from UI screenshots across multiple frameworks such as React, Vue, and Angular. It orchestrates four specialized agents—Grounder, Planner, Writer, and Judger—to construct element tables, build a DOM‑like layout tree, produce framework‑specific file contracts, and enforce constraints that prevent drift and deadlocks. Experiments show that MulFCoder significantly improves compilation success rates and reduces framework‑specific errors, especially for Angular.

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arXiv AI
Sep 2

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

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.

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