ZCode has been deeply optimized for GLM, and today it launches four major features: Goal, Subagents, Remote Control, and Idle Tasks. In Z.ai Code Bench tes...
ZCode has been deeply optimized for GLM, and today it launches four major features: Goal, Subagents,
Remote Control, and Idle Tasks. In Z.ai Code Bench tests, GLM-5.2 paired with ZCode had an overall task pass rate 2.39% higher than when paired with Claude Code; ZCode's cache hit rate exceeded 98%, and with a 1.5x temporary quota bonus, the overall usage of the GLM Coding Plan reached nearly 1.8 times the regular quota. 🔗 Read the original via AIHOT · https://aihot.virxact.com/items/cmso95agg0ig3rofwaqvy9crw
ZCode针对GLM深度优化，今日上线Goal、Subagents、Remote Control与闲时任务四大功能。
在Z.ai Code Bench测试中，GLM-5.2搭配ZCode较搭配Claude Code任务整体通过率高2.39%；
ZCode缓存命中率超98%，叠加1.5倍限时额度加成后，GLM Coding Plan整体使用量接近常规额度的1.8倍。
🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmso95agg0ig3rofwaqvy9crw
Aioga 编辑摘要：ZCode针对GLM深度优化，今日上线Goal、Subagents、Remote Control与闲时任务四大功能。 Aioga 将其归入「行业动态」方向，重点关注它对真实使用和行业竞争的影响。
背景分析：产品与工具类动态的价值取决于它是否解决明确场景、能否进入工作流，以及交付、价格和数据安全是否可接受。
Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。
影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。 后续观察：继续观察产品是否开放使用、用户反馈、定价、集成能力和后续版本更新。
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