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arXiv · 2603.25928

TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software Development

Wenhan Lyu·Yue Xiao·Yixuan Zhang·Yifan Sun
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Abstract

Large language model (LLM)-based multi-agent systems have shown promise in automating software development tasks. However, most vibe-coding systems focus on completing small tasks and incremental code changes, leaving persistent, continuous software development largely unexplored. We present TheBotCompany, an open-source orchestration framework for continuous multi-agent software development. TheBotCompany introduces three key innovations: (1) a three-phase state machine (Strategy to Execution to Verification) for milestone-driven development, (2) self-organizing agent teams where manager agents dynamically hire, assign, and retire worker agents based on project needs, and (3) asynchronous human oversight. We evaluate TheBotCompany on real-world software projects over multiple days of continuous development, measuring team adaptation patterns, milestone completion rates, cost efficiency, and code quality. Our results demonstrate that the self-organizing approach enables effective long-term software development with measurable progress, while the verification phase catches defects that would otherwise persist.

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Wenhan Lyu, Yue Xiao, Yixuan Zhang, Yifan Sun. 2026-03-26. TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software Development. https://doi.org/10.1145/3832783.3834358

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