写作
写作
专题、教程与项目实践
第 3 页 · 12 / 142-
Company Brain:团队 Agent 的记忆权限该怎么拆 拆解 Company Brain 的团队记忆与权限设计,重点看个人授权、共享知识、可追溯来源和团队 Agent 的权限边界。
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Microsoft connects AI-built tools to app delivery After Copilot Code builds an internal tool, Managed Runtime handles Git, dev environments, Entra ID, connectors, previews, deployment, and governance.
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Microsoft 把 AI 内部工具的发布链也接上了 Copilot Code 生成内部工具后,Managed Runtime 接管 Git、受控开发环境、Entra ID、连接器、预览、部署和企业治理。
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Agent 已获网络权限,为什么连接途中还要继续检查 从 Codex 网络策略更新出发,解释 HTTP 重定向、长响应与 WebSocket 为什么需要可撤销许可,以及工具权限和网络权限为什么必须分层。
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Why agent network permissions need ongoing checks Codex network policy changes explain revocable permits for redirects, long responses, and WebSockets, and why tool and network permissions need separate layers.
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GitHub Agentic Autofix starts retaining repair experience GitHub Agentic Autofix reads and writes Copilot Memory. How security repair knowledge crosses agent workflows, and why verification, scope, and expiry matter.
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GitHub Agentic Autofix 开始积累修复记忆 GitHub Agentic Autofix 会读取并写入 Copilot Memory。本文拆解安全修复经验如何跨 Agent 复用,以及验证、范围和过期为什么重要。
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Jev-Code-Reviewer prioritizes large PRs as P0/P1/P2 Jev-Code-Reviewer prioritizes PR changes, expands P0 by default, and retains the original diff and fallback paths so reviewers see key changes first.
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Jev-Code-Reviewer:大 PR 先分 P0/P1/P2 Jev-Code-Reviewer 给 PR 改动做注意力排序,默认展开 P0,同时保留原始 diff 和失败回退路径,帮助人先看关键改动。
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Agent markets: 85% of the loss comes before negotiation Anthropic's book market experiment locates most efficiency loss in preference representation. A look at model choice, preference evals, and market rules.
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Anthropic Agent 市场:85% 的效率损失发生在谈判前 Anthropic 的 Agent 市场实验显示,主要效率损失发生在偏好表示和匹配阶段。本文拆解模型选择、偏好 Eval 与市场规则。
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GitHub Security Lab makes fuzzing an agent feedback loop GitHub Security Lab Fuzzing Taskflow uses coverage gaps to guide model decisions while deterministic tools execute, measure, and persist results.