[{"data":1,"prerenderedAt":1027},["ShallowReactive",2],{"/ja-jp/blog/gitlab-duo-cli-drives-automation":3,"navigation-ja-jp":286,"banner-ja-jp":710,"footer-ja-jp":721,"blog-post-authors-ja-jp-Rebecca Carter":974,"blog-related-posts-ja-jp-gitlab-duo-cli-drives-automation":988,"blog-share-wrapper-ja-jp":1008,"next-steps-ja-jp":1018},{"id":4,"title":5,"authors":6,"body":8,"category":267,"date":268,"description":269,"extension":270,"externalUrl":271,"faq":271,"featured":272,"heroImage":273,"meta":274,"navigation":272,"path":275,"seo":276,"slug":279,"stem":280,"tags":281,"template":283,"updatedDate":284,"__hash__":285},"blogPosts/ja-jp/blog/gitlab-duo-cli-drives-automation.md","ゴールを伝えるだけでGitLab Duo CLIがタスクをやり切る",[7],"Rebecca Carter",{"type":9,"value":10,"toc":257},"minimark",[11,15,18,33,60,65,68,72,77,81,84,93,96,99,105,127,133,136,141,147,150,156,159,168,172,175,181,194,198,203,214,219,236,251],[12,13,14],"p",{},"複雑なタスクは、チャットの1ターンが終わるたびに足止めされます。何を達成したいのかはデベロッパー自身がすでに分かっており、作業を止めているのは、ステップごとに発生する往復のやり取りです。成功の定義があらかじめ示されていないと、エージェントは処理を止めて指示や確認を待つだけ。結果として、ステップごとにプロンプトを入れ直すことになり、タスクが終わるまで人間が「続ける」ボタンの役目を担う構図になってしまいます。",[12,16,17],{},"この往復にかかる時間はチームによって差があり、数分で済むこともあれば、誰かが手を空けるまでリクエストが放置されることもあります。範囲が明確な小さな依頼なら、このやり取りでも十分に回ります。しかし、デベロッパーが実際に多くの時間を使っているのは、失敗しているテストを直す、ビルドをチェックに通す、モジュール全体のLintエラーを片付けるといった、終わりの線が引かれていない作業。こうした作業では、1ターンずつの受け渡しがすぐに立ち行かなくなります。",[12,19,20,21,27,28,32],{},"GitLab 19.4では、",[22,23,26],"a",{"href":24,"rel":25},"https://docs.gitlab.com/ja-jp/user/gitlab_duo_cli/",[],"GitLab Duo CLI","に",[29,30,31],"code",{},"/goal","スラッシュコマンドが加わりました。こうした終わりの見えにくい作業に正面から取り組む、統制されたゴール駆動のフローです。ローカルで動作し、主導権は手元に残ります。",[34,35,36,50,53],"blockquote",{},[12,37,38,45,46],{},[39,40],"img",{"src":41,"alt":42,"width":43,"style":44},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1789485538/b1oin7kqcqoa4ezvabs0.png","",40,"vertical-align:middle;display:inline-block"," ",[47,48,49],"strong",{},"GitLab Transcendが10月に再び開催",[12,51,52],{},"コーディングエージェントにより開発スピードは向上していますが、レビュー、セキュリティポリシー、リリースサイクルもそれに追いつく必要があります。10月6日開催のTranscendでは、チームがそのギャップを埋めるためにGitLabをどう活用しているかをご紹介し、エージェント型AIのスピードをソフトウェアライフサイクル全体へ広げるために何が必要なのかを探ります。",[12,54,55],{},[22,56,59],{"href":57,"rel":58},"https://about.gitlab.com/ja-jp/events/transcend/virtual/",[],"ライブ配信への登録はこちらから",[61,62,64],"h2",{"id":63},"_1ターンずつのチャットが時間を奪い続ける理由","1ターンずつのチャットが時間を奪い続ける理由",[12,66,67],{},"これは、アシスタントがもっと賢くなれば解決する話ではありません。1ターンずつのチャットでは、応答を読み、次の指示を決めて送る、という手順を誰かが繰り返して前に進めなければなりません。モデルの性能が高くても、各ターンの終わりには人が動かしてくれるのを待つ状態。そのため、デベロッパーの時間は「実際に自分の手で進める必要がある量」ではなく「タスクが終わるまでの長さ」に縛られたままになります。これまでのAI支援が、デベロッパーの時間を取り戻すというより、時間の使われ方の形を変えるにとどまってきた理由はここにあります。",[61,69,71],{"id":70},"任せたら検証済みの結果が返ってくる","任せたら、検証済みの結果が返ってくる",[12,73,74,76],{},[29,75,31],{},"では、求める成果を伝えたら、あとは別の作業に移れます。実行中に付き添う必要はありません。作業は続き、指示した内容に照らして検証され、完了するか、解決できなかった点が報告されます。会話に張り付いたまま終わりを待つのではなく、同僚に任せた仕事の進み具合を後から確認するのと同じ感覚で、仕上がった結果と検証の記録を受け取る形になります。",[61,78,80],{"id":79},"単発のプロンプトから常設のゴールへ","単発のプロンプトから、常設のゴールへ",[12,82,83],{},"やってほしい作業と、「完了」と見なす条件を示すだけ。あとはGitLabが主導権を引き継ぎ、そのゴールラインを越えるまで手を止めずに取り組みます。",[85,86,91],"pre",{"className":87,"code":89,"language":90},[88],"language-text","/goal Fix the failing tests. 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