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- 发布时间
参考自动驾驶从 L1 到 L5 的分级方式，我们不讨论具体技术细节，只看 AI 最终能达到的效果与人机分工，把 AI Agent 的能力分为 AL1 到 AL5：从代码补全、对话问答、自主探索的协作者，到提出超越专家方案的引领者，再到完全不需要人参与的自主系统。- 发布时间
同一个 GPT 模型，为什么换了运行环境，任务就可能中断、变慢或更难完成？从我们的 OpenCode 与 Codex 使用经历出发，讨论 Harness 如何影响可用性与能力发挥，以及怎样选择更适配的组合。- 发布时间
长时间运行的 AI agents 可以生成超过我们吸收能力的代码与研究成果。这些输出扩展了我们的生产能力，却不会自动转化成我们的知识、判断与能力。- 发布时间
一种实用的模糊查找工作流：把 shell 历史、编辑器搜索和浏览器历史变成分层索引，快速找回命令、项目上下文与 Web 资源。