Boris Cherny：Tag 每天编写超过 50% 的我的 PR
Tag 每天编写超过 50% 的我的 PR。它还负责大约 100% 的我的数据分析，并修复了我们的大部分产品反馈 + 错误。
它不像普通的 Slack 机器人。它是主动的、可编程的，它有记忆，它可以访问你的连接器。凭借 Opus 5.5 和 Fable 5.1，它拥有强大的判断力。
我使用的示例提示：
- "@Claude 在此频道中，当线程解决时，用 ✅ 表情回应帖子"
- "@Claude 从现在起，尝试在此频道中端到端重现每个错误，运行完整的应用。一旦你重现了错误，就提出一个修复它的 PR，并标记正确的团队进行代码审查"
- "@Claude 为解释这些奇怪的数据，头脑风暴出约 100 个假设，使用工作流来验证/证伪。花费大约 1000 万个 token 深入挖掘。绘制一个结果图表。"
- "@Claude 为我制作一个交互式游戏，解释这段代码是如何工作的，然后为团队中的其他人制作一个幻灯片演示解释它"
对照原文
Tag writes >50% of my PRs every day. It also does ~100% of my data analysis, and fixes most of our product feedback + bugs. It's not like a regular Slack bot. It is proactive, programmable, it has memory, it has access to your connectors. With Opus 5.5 and Fable 5.1, it has strong judgement. Example prompts I use: - "@Claude react to threads in this channel with ✅ when resolved" - "@Claude from now on, attempt to repro every bug in this channel end to end, running the full app. once you reproduce the bug, put up a pr to fix it and tag the right team for code review" - "@Claude brainstorm ~100 hypotheses for what could explain this weird data, use a workflow to in/validate. spend 10m tokens or so digging very deep. draw a chart with the result." - "@Claude make me an interactive game explaining how this part of the code works, then make a slide deck explaining it for others on the team" https://t.co/gmsALM8Lvs