AI觉醒星球
Awakening is here
Knowledge File / AI小生意项目库
2026-08-08 0 浏览 会员

Copilot 影响仪表板新增投资回报部分

GitHub 更新 Copilot 影响仪表板,新增“潜在投资回报”部分,对比不同采用阶段开发者的成本与产出,并优化了采用队列的用户计数。

SOURCE / AI小生意项目库 MIN / 4 ACCESS / 会员 POST / 2026-08-08 05:05:37

原贴

查看原文
作者:Allison 来源站点:github.blog 原贴时间:

原文

The Copilot impact dashboard now includes a “Potential return on investment” section that connects what you spend on Copilot to the pull request output you get back. Two cards compare developers by how deeply they have adopted Copilot: those working primarily in chat and code completions (i.e., “Passive users” and “Phase 1”) against agent-first developers (i.e., “Phase 2” and “Phase 3”). Each card shows: Cost/dev/month : The average monthly Copilot cost per developer in that group, derived from actual AI credit consumption. % Payroll/month : The above cost expressed as a share of developer compensation. Pull requests/month : Average pull requests per developer per month. A salary selector lets you pick a compensation band, and the cost-derived metrics recalculate instantly. This lets you model a potential return on investment against your own payroll assumptions. Administrators could already see that Copilot adoption was deepening, but not what that deeper adoption costs or what it returns. This section puts spend and output side by side for early-phase and agent-first developers, so you can justify continued investment and target enablement programs at the adoption phases with the most headroom left. More accurate adoption cohort user counts. Cohort user counts now reflect every user active during the full 28-day reporting window, rather than only users active on the window’s final day. Previously, a report ending on a weekend or holiday could show sharply lower counts in each phase. Expect cohort counts to be noticeably higher going forward. This only affects the impact dashboard — the Copilot usage metrics API and NDJSON exports are unchanged. The return on investment section is available in the Copilot impact dashboard at both the enterprise and organization level. It is available to enterprise owners and billing managers, organization owners, and anyone with a custom organization or enterprise role that grants the View Copilot Metrics permission. The Copilot usage metrics policy must be enabled. Cost figures are estimates based on AI credit consumption, and the salary selector is a modeling input rather than actual payroll data. Treat these metrics as directional. Visit the Copilot impact dashboard documentation to get started.

中文翻译

Copilot 影响仪表板现在包含一个“潜在投资回报”部分,将您在 Copilot 上的支出与您获得的拉取请求产出联系起来。两张卡片对比了开发者采用 Copilot 的深度:主要使用聊天和代码补全的开发者(即“被动用户”和“第一阶段”)与优先使用代理的开发者(即“第二阶段”和“第三阶段”)。每张卡片显示:每开发者每月成本:该组中每位开发者每月的平均 Copilot 成本,根据实际 AI 积分消耗计算;每月工资百分比:上述成本占开发者薪酬的比例;每月拉取请求:每位开发者每月的平均拉取请求数。薪资选择器允许您选择薪酬区间,成本相关指标会立即重新计算。这样您就可以根据自己的人工成本假设来模拟潜在的投资回报。管理员此前已经能够看到 Copilot 采用程度在加深,但不知道这种更深采用的成本或回报。该部分将早期阶段和代理优先开发者的支出和产出并排展示,以便您证明持续投资的合理性,并将启用计划针对在采用阶段中仍有最大提升空间的群体。

更准确的采用队列用户计数。队列用户计数现在反映在完整 28 天报告窗口内活跃的每一位用户,而不仅仅是窗口最后一天活跃的用户。此前,如果报告期在周末或假日结束,各阶段的计数可能会显著降低。今后,队列计数预计会明显增加。这仅影响影响仪表板——Copilot 使用指标 API 和 NDJSON 导出不变。投资回报部分可在企业和组织级别的 Copilot 影响仪表板中使用。企业所有者和账单管理员、组织所有者,以及具有自定义组织或企业角色并授予“查看 Copilot 指标”权限的任何人都可使用。必须启用 Copilot 使用指标策略。成本数据是基于 AI 积分消耗的估算值,薪资选择器是建模输入,而非实际工资数据。请将这些指标视为方向性指标。访问 Copilot 影响仪表板文档以开始使用。

核心信息

GitHub 更新 Copilot 影响仪表板,新增“潜在投资回报”部分,对比不同采用阶段开发者的成本与产出,并优化了采用队列的用户计数。

  • GitHub 更新 Copilot 影响仪表板,新增“潜在投资回报”部分,对比不同采用阶段开发者的成本与产出,并优化了采用队列的用户计数。
  • 原贴提到:The Copilot impact dashboard now includes a “Potential return on investm
  • 来源:github.blog
试看内容

成为会员查看完整内容

你已经看到了这篇内容的前置整理,剩余深度部分仅对会员开放。

详细解读 信息差价值 参考来源
成为会员查看完整内容
上一篇 企业现在可以安装第三方 GitHub 应用 下一篇 GitHub Copilot 代码审查推出 Lite 和 Balanced 力度级别,现已全面可用