Software World: A Simulated GitHub Ecosystem Run by Agents for Multi-Agent Research
PangWeiKoh · x · 2026-09-04
Researchers unveiled Software World, a simulated GitHub ecosystem run entirely by agents, aimed at developing and evaluating multi-agent systems at scale.
- Built from real Python dependency data; each agent owns and optimizes packages within a dependency chain, collaborating with others
- Uses held-out downstream packages as robust, verifiable extrinsic evaluation, less susceptible to reward hacking
- Findings: agents can identify code deficiencies and produce patches independently; some base models enable meaningful collaboration such as sharing downstream usage patterns
More from coding & agent
- Running Qwen3.8-Flash-Next with 256K context at 16 tok/s on DDR4 and a Tesla T4 — BusTiny207 · 2026-09-04
- Handy Omarchy plugin wraps Claude CLI with a menu bar UI and improved interface — DanWahlin · 2026-09-04
- Scheduled Agent Stopped After One Weak Run: A Lesson in Defining Search Depth — daani_maas · 2026-09-04
- xAI Launches Early-Beta Grok Bot: AI Teammates That Log Into Your Tools and Finish Work — aitrendz_xyz · 2026-09-04
- Claude burns 24h building cells that take seconds to measure, in overnight benchmark fail — StefanoGogioso · 2026-09-04
- Connect Claude Code to NotebookLM via MCP to read full docs without burning tokens — udmrzn · 2026-09-04