Original Summary

If you run multiple coding agents today, your biggest bottleneck is not model intelligence. It is orchestration overhead. Traditional multi-agent setups (CrewAI, AutoGen, or multi-tab Claude Code) use System-2 chatty supervisors. Every single coordination step forces two LLMs to enter a conversational chatroom, wait 10 to 15 seconds per turn, burn thousands of output tokens arguing over task boundaries, and frequently overwrite each other's files anyway. I built JEVULON VII to replace conversational supervisor bloat with instant sub-second System-1 decision gates and live whiteboard file locking. Try it for free (limited time), or BYOK. GitHub (MIT Open-Core Engine): https://github.com/Jason-Fay/jevulon Live Project Site: https://jevulon.com   submitted by   /u/Appropriate-Cap-128 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/28 07:17:52