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Linear 创始人 Karri Saarinen 分享了他如何将 90% 的 AI 工作流迁移到 Linear 内部,强调了上下文环境对提升 AI 效率的重要性

来源作者:Peter Yang (@petergyang)原始来源:https://x.com/petergyang/status/2047037316234195341

中文导读

Linear 创始人 Karri Saarinen 分享了他如何将 90% 的 AI 工作流迁移到 Linear 内部,强调了上下文环境对提升 AI 效率的重要性。

正文 Markdown

I might be biased but 90% my work AI use has moved to @linear recently: - pull daily report what should I pay attention to - recent user frustrations or trend needs - check launch dates on projects - make fixes on the product with the coding agent - reflect my specific thoughts against product memo - writing investor updates based on our progress - ask about specific features to debug user issues - pull specific follow ups from meeting transcripts - write project update based on the meeting we had - prep for customer call based on the brief I got, and the - plans we have - research new features based on customer requests - research revenue opportunity based on some of the - features and customers we have - find latest trends on bugs - write blog post about a feature on my phone - set up project, docs, milestones and issues from feature research - create issues to project from our “roast” feedback meeting I could do lot of these in other tools as well, but I like that I can work in the context and at-mention specific documents, issues, teams, projects, or files when I'm chatting. Then actually start making plans or work to make changes or assign people on things. I also have set up the same writing guidance and skills that I have in other tools but somehow feel Linear understands me better. I feel like not working in some void but some structure around me which I can flip between the agent and the structure, and it's all about work & Linear, not about my personal questions or topics.