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Software World framework simulates agent collaboration in software ecosystems

The authors introduce Software World, a simulation framework for multi‑agent collaboration in realistic software ecosystems. The framework creates environments of real, interdependent Python packages, allowing agents to maintain and improve software efficiency.

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Key points

  • software world simulates multi‑agent collaboration using real python package ecosystems
  • three worlds simulated, totaling >10,000 hours of agent work across eight models
  • best model improves downstream efficiency by up to 31%

In simulations across three worlds, the authors ran more than 10,000 hours of agent work using eight different models. They measured speedup in hidden dependent packages and found that performance improvement scales with inference‑time compute. The best model achieved a downstream efficiency gain of up to 31%, while some frontier models stopped searching for improvements early.

The authors release the simulation framework and trace data at https://szj.io/sw, inviting further studies of agent collaboration and resource allocation in software development.

Read the original at arXiv cs.AI · by Shannon Zejiang Shen, Yapei Chang, Qiyao Liang, Benjamin Newman, Jenny Liang, Rulin Shao, Ziqiao Ma, Junjie Oscar Yin, Yung-Sung Chuang, Weijia Shi, Yejin Choi, Luke Zettlemoyer, Pang Wei Koh, Mohit Iyyer, Tongshuang Wu, David Sontag primary sourceOpen source ↗

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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