跟讀練習: Introducing Automations: always-on coding agents - 通過影片學習英語口語
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24 句
如果句子過短或過長，請點選 Edit 進行調整。
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I'm Jack.
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And I'm Jon.
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And today we're launching Automation's Incursor.
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As agents have gotten really capable at handling work autonomously, we found ourselves kicking them off over and over again for the same type of task.
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So we thought, why not automate that?
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It's been crazy to see the creative use cases that people have come up with.
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For example, we have an incident triage that gets triggered every time a pager duty monitor goes off.
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This one Jon loves especially because he hates getting woken up at 3 a.m.
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Famously.
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We give it the Datadog MCP, and then by the time he rolls out of bed all groggy, the agent has come back with a likely root cause.
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So I just need to merge the PR, and then I can go back to sleep.
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I have a personal automation just for myself.
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It runs on a nightly cron schedule.
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It looks at all my PRs from the last day and just cleans up dead code or bad patterns.
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We're very fortunate to have this great community of users who are always suggesting new features to build, and we pipe those through from Twitter onto Slack.
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And now we can just have an agent automatically kick off with every single one
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and just put up a PR right away some of these features if they're simple or actually just getting implemented asynchronously.
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The way we do software development has changed so much in the last nine months.
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And with more software, with more output, you then have more stuff you need to review, more issues you need to triage, more things to manage around software.
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But a lot of these things are automatable.
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Thankfully because we kind of let the agent run free, if you want comments to be inline threaded comments on GitHub, just prompt your agent to do so.
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If you want it to resolve its past comments, just prompt your agent to do so.
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All of these things that people are used to configuring with checkboxes, you don't need to do that anymore.
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Just prompt your agent.
FOR YOU
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本課介紹
在本課中，學習者將通過觀看影片內容來練習與自動化相關的英語表達。影片中提到的自動化代理（agents）在處理工作時的自主能力，將幫助學習者理解技術領域的英語用法。通過反覆練習，看YouTube學英語並獲取相關資訊，學習者將能夠提高英語表達能力和發音，特別是在討論現代技術話題時。
關鍵詞彙與短語
- automation - 自動化
- agent - 代理
- incident triage - 事件分類
- pager duty monitor - 報警監視器
- PR (Pull Request) - 合併請求
- cron schedule - 定時任務
- resolve comments - 解決評論
- asynchronously - 非同步地
練習技巧
在進行英語影子跟讀時，首先要注意影片的語速和語調，以便能夠更好地模仿說話者的發音。建議學習者可以嘗試以下幾個技巧，幫助提高英語發音和流利度：
- 重複跟讀：在觀看影片時，可以暫停並重復說出影片中的每一句。這樣有助於提高對語音的敏感度。
- 注意情感和語調：跟隨發言者的情感表達，這對於理解上下文和提高口語表達能力非常有幫助。
- 使用shadow speak：將重複學習和說出短語結合，逐步達到流利表達。
- 適當放慢速度：如果影片的速度較快，可以使用播放設定將速度調整為0.75倍，這樣能更好地跟上。
- 記錄自己的聲音：錄下自己的跟讀，回放時對比原影片，找出需要改進的地方。
通過這樣的練習，學習者將能夠有效地提高英語發音，提升表達能力，讓英語溝通更加自信。記得堅持並享受shadow speaks的樂趣，逐步掌握更復雜的英語表達！
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。