[{"data":1,"prerenderedAt":705},["ShallowReactive",2],{"/ja-jp/blog/agentic-ai-guides-and-resources/":3,"navigation-ja-jp":39,"banner-ja-jp":454,"footer-ja-jp":467,"GitLab":677,"next-steps-ja-jp":690},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":28,"_id":32,"_type":33,"title":34,"_source":35,"_file":36,"_stem":37,"_extension":38},"/ja-jp/blog/agentic-ai-guides-and-resources","blog",false,"",{"ogTitle":9,"schema":10,"ogImage":11,"ogDescription":12,"ogSiteName":13,"noIndex":6,"ogType":14,"ogUrl":15,"title":9,"canonicalUrls":15,"description":12},"エージェント型AIに関するガイドとリソース","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"自律型AIに関するガイドとリソース\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"GitLab\"}],\n        \"datePublished\": \"2025-05-07\",\n      }","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749658912/Blog/Hero%20Images/blog-image-template-1800x945__20_.png","エージェント型AIの概要・仕組みからDevSecOps環境向上の理由、導入ベストプラクティスまで解説します。","https://about.gitlab.com","article","https://about.gitlab.com/blog/agentic-ai-guides-and-resources",{"heroImage":11,"body":17,"authors":18,"updatedDate":20,"date":21,"title":9,"tags":22,"description":26,"category":27},"## エージェント型AIの定義\n\nエージェント型AIは、高度な言語モデルや自然言語処理を活用して、自律的に行動できる人工知能です。従来の生成AIツールが常に人間からの指示を必要とするのに対し、エージェント型AIはリクエストを理解して意思決定を行い、目標達成に向けて複数の段階から成る計画を実行できます。複雑なタスクを管理可能な手順に分解し、課題に直面した際には適応学習を通じてアプローチを柔軟に変えることができます。\n\n[エージェント型AIの詳細はこちら](https://about.gitlab.com/ja-jp/topics/agentic-ai/)\n\n## エージェントAIに関するインサイト\n\n* [GitLab Duo Agent Platform パブリックベータ版：次世代AI統合機能とその他](https://about.gitlab.com/the-source/ai/emerging-agentic-ai-trends-reshaping-software-development/)：デベロッパーとAIエージェント間の非同期コラボレーションを実現するために設計されたDevSecOps統合プラットフォームをご紹介します。\n* [GitLab Duo Agent Platform：次世代DevSecOpsプラットフォームの可能性](https://about.gitlab.com/ja-jp/the-source/ai/agentic-ai-unlocking-developer-potential-at-scale/)：GitLab Duo Agent Platformは、人間とAIエージェントによる共同作業を実現するDevSecOps統合プラットフォームです。ソフトウェア開発の各段階でエージェント型AIを活用し、効果的な連携を促進します。\n* [感覚的コーディングからエージェント型AIへ：技術リーダー向けロードマップ](https://about.gitlab.com/ja-jp/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more/)：感覚的コーディングとエージェント型AIを開発プロセスに取り入れ、コード品質とセキュリティを確保しながら生産性を向上させる実践的な方法を紹介します。\n* [エージェント型AIが切り拓くソフトウェア開発の新潮流](https://about.gitlab.com/the-source/ai/how-agentic-ai-unlocks-platform-engineering-potential/)：エージェント型AIによって、従来の個人作業中心のコーディングが、セキュリティを維持しながら生産性を飛躍的に高めるスマートなワークフローへと進化する過程を探ります。\n* [エージェント型AIで開発者の力を最大限に引き出す](https://about.gitlab.com/the-source/ai/agentic-ai-unlocking-developer-potential-at-scale/)：エージェント型AIがソフトウェア開発を変革する様子を解説します。コード補完の枠を超えて、複雑なタスクに自ら取り組むAIパートナーの実現について探ります。\n* [エージェント型AI、オンプレミス型モデルなど：2025年のAI動向](https://about.gitlab.com/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more/)：ソフトウェア開発分野における重要なAI動向をご紹介。オンプレミス環境でのモデル運用から、学習・適応機能を持つAIエージェントまで、最新トレンドを網羅します。\n* [エージェント型AIでプラットフォームエンジニアリングを飛躍させる](https://about.gitlab.com/the-source/ai/how-agentic-ai-unlocks-platform-engineering-potential/)：複雑なワークフローの自動化と標準化の拡張により、エージェント型AIがプラットフォームエンジニアリングの可能性をどのように広げるかを解説します。\n\n## エージェント型AIエコシステム\n\n* [AI駆動型コード解析：コードセキュリティの新領域](https://about.gitlab.com/topics/agentic-ai/ai-code-analysis/)\n* [DevOps自動化とAIエージェント](https://about.gitlab.com/topics/agentic-ai/devops-automation-ai-agents/)\n* [AI強化型ソフトウェア開発：DevOps向けエージェント型AI](https://about.gitlab.com/topics/agentic-ai/ai-augmented-software-development/)\n\n## エージェント型AIを導入するためのベストプラクティス\n\n* [AIエージェント向けに効果的なガードレールを実装する](https://about.gitlab.com/the-source/ai/implementing-effective-guardrails-for-ai-agents/)：コンプライアンス制御からインフラ保護、ユーザーアクセス管理まで、DevSecOps環境においてAIエージェント向けに実装すべきセキュリティガードレールをご紹介します。\n\n## GitLabが提供するエージェント型AI機能\n\n### GitLab Duo with Amazon Q\n\n* [GitLab Duo with Amazon Q：AWS向けに最適化されたエージェント型AIの一般提供を開始](https://about.gitlab.com/ja-jp/blog/gitlab-duo-with-amazon-q-agentic-ai-optimized-for-aws/)：AIを搭載した包括的なDevSecOpsプラットフォームと業界最高水準のクラウドコンピューティング機能の組み合わせにより、開発サイクルの高速化、自動化の推進、そしてコード品質の向上を可能にします。\n* [DevSecOps + エージェント型AI：AWS上のGitLab Self-Managed Ultimateで利用可能に](https://about.gitlab.com/blog/devsecops-agentic-ai-now-on-gitlab-self-managed-ultimate-on-aws/)：AWS上のGitLab Self-Managed Ultimateインスタンスで、DevSecOps向けに強化されたAI搭載エージェントを使い始めましょう。GitLab DuoとAmazon Qの両方のメリットを得られます。\n* [GitLab Duo with Amazon Qパートナーページ](https://about.gitlab.com/ja-jp/partners/technology-partners/aws/)\n\n以下の動画で、GitLab Duo with Amazon Qを実際に使用する様子をご覧いただけます。\n\n\u003Cdiv style=\"padding:56.25% 0 0 0;position:relative;\">\u003Ciframe src=\"https://player.vimeo.com/video/1075753390?badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"Technical Demo: GitLab Duo with Amazon Q\">\u003C/iframe>\u003C/div>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n#### ガイド付きツアー\n\n以下の画像をクリックすると、GitLab Duo with Amazon Qのツアーが開始されます。\n\n[![GitLab Duo with Amazon Qのインタラクティブなツアー](https://res.cloudinary.com/about-gitlab-com/image/upload/v1749673568/Blog/Content%20Images/Screenshot_2025-05-07_at_7.24.45_AM.png)](https://gitlab.navattic.com/duo-with-q)\n\n#### GitLab Duo with Amazon Qのチュートリアル\n\n* [AI駆動のテスト生成でアプリケーション品質を向上](https://about.gitlab.com/blog/gitlab-duo-amazon-q-transform-ideas-into-code-in-minutes/)：GitLab Duo with Amazon Q が包括的な単体テストを自動生成してQAプロセスをどのように改善するかをご紹介します。\n* [GitLab Duo + Amazon Q：アイデアを数分でコードに変換](https://about.gitlab.com/ja-jp/blog/gitlab-duo-amazon-q-transform-ideas-into-code-in-minutes/)：新しいGitLab Duo with Amazon Qの統合機能がイシューの説明を分析し、実装可能なコードソリューションを自動生成して、開発ワークフローを加速します。\n* [GitLab Duo and Amazon Qでコードレビューを加速](https://about.gitlab.com/ja-jp/blog/accelerate-code-reviews-with-gitlab-duo-and-amazon-q/)：AI駆動のエージェントを使用してマージリクエストを自動分析し、バグ、可読性、コーディング標準について包括的なフィードバックを提供し、コードレビューを最適化します。\n* [コードレビューを高速化：AIにフィードバックの実装を任せる](https://about.gitlab.com/ja-jp/blog/speed-up-code-reviews-let-ai-handle-the-feedback-implementation/)： GitLab Duo with Amazon QがAIを通じてコードレビューフィードバックの実装をどのように自動化し、時間のかかる手動プロセスを効率的なワークフローに変革するかをご紹介します。\n\n[](https://about.gitlab.com/ja-jp/gitlab-duo/)\n\n### GitLab Duo Agent Platform\n\n* [GitLab Duo Chatがエージェント型AIで生まれ変わる](https://about.gitlab.com/ja-jp/blog/gitlab-duo-chat-gets-agentic-ai-makeover/)：現在実験的リリース段階にある新しいDuo Chat機能は、デベロッパーのプロジェクトへのオンボーディング、割り当ての理解、変更の実装などをサポートします。GitLab Duo Agent Platformの実際の動作をご覧ください。\n\n\u003Cdiv style=\"padding:56.25% 0 0 0;position:relative;\">\u003Ciframe src=\"https://player.vimeo.com/video/1095679084?badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"Agent Platform Demo Clip\">\u003C/iframe>\u003C/div>\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n#### GitLab Agent Platform（およびDuo Workflow）のチュートリアルとユースケース\n\n* [GitLab Duo Agent Platformで学習を加速する](https://about.gitlab.com/blog/accelerate-learning-with-gitlab-duo-agent-platform/)：エージェント型AIがわずか数時間ではなく数分で包括的なgRPCドキュメントの生成をどのように支援したかを学びましょう。\n* [GitLabでGoogle Cloudへ高速かつ安全なAIエージェントをデプロイする](https://about.gitlab.com/ja-jp/blog/fast-and-secure-ai-agent-deployment-to-google-cloud-with-gitlab/)\n* [GitLab Duo Workflowを使ってJavaScriptコードをTypeScriptにリファクタリングする](https://about.gitlab.com/blog/refactoring-javascript-to-typescript-with-gitlab-duo-workflow/)\n* [面倒なコーディング作業をGitLab Duo Workflowで自動化](https://about.gitlab.com/blog/automate-tedious-coding-tasks-with-gitlab-duo-workflow/)：エージェント型AIを導入すると、これまで反復作業に費やしていた時間が削減されるため、革新的なソリューションの開発や次の重要な製品のリリースに注力できるようになります。\n* [GitLab Duo Workflowを使用してアプリケーションの品質保証を強化](https://about.gitlab.com/ja-jp/blog/use-gitlab-duo-workflow-to-improve-application-quality-assurance/)：エージェント型AIを使用してJavaアプリケーションに単体テストを追加する方法をステップ別にご説明します（チュートリアル動画あり）。\n* [GitLab Duo Workflowを使って複雑な課題を解決](https://about.gitlab.com/blog/solving-complex-challenges-with-gitlab-duo-workflow/)：GitLabカスタマーサクセスマネジメントチームが、パッケージレジストリにおけるHelmチャート制限への対処など、実際の問題解決においてどのようにエージェント型AIを活用しているかをご紹介します。\n* [Web UIでGitLab Duo Agentic Chatを始める](https://about.gitlab.com/blog/get-started-with-gitlab-duo-agentic-chat-in-the-web-ui/)：複雑な問題を分解し、複数のソースにわたって操作を実行することでタスクを自動化する新しいGitLab Duo AI機能について学びます。\n* [デベロッパーのより高い効率を実現するGitLab Duo Agentic Chatのカスタムルール](https://about.gitlab.com/blog/custom-rules-duo-agentic-chat-deep-dive/)：AIがコードベースを理解し、規約に従い、最小限のレビューサイクルで本番環境対応のコードを生成する方法をご紹介します。\n\n## **GitLab Universityでさらに詳しく学ぶ**\n\n* [GitLab Duo入門コース](https://university.gitlab.com/pages/ai)\n* [GitLab Duo Enterpriseを体系的に学ぶコース](https://university.gitlab.com/learning-paths/gitlab-duo-enterprise-learning-path)\n\n## その他のAI関連リソース\n\n* [2024 Global DevSecOps Survey: Navigating AI maturity in DevSecOps](https://about.gitlab.com/ja-jp/developer-survey/2024/ai/)\n* [DevOpsにおけるAIの役割](https://about.gitlab.com/ja-jp/topics/devops/the-role-of-ai-in-devops/)\n* [GitLabによるAIと機械学習関連の最新記事\n  ](https://about.gitlab.com/ja-jp/blog/categories/ai-ml/)\n* [GitLab Duo](https://about.gitlab.com/ja-jp/gitlab-duo/)",[19],"GitLab","2025-09-01","2025-05-07",[23,24,25],"AI/ML","DevSecOps platform","tutorial","概要から仕組み、DevSecOps環境をレベルアップする理由、導入時のベストプラクティスまで、エージェント型AIについて押さえておくべきポイントをご紹介します。","ai-ml",{"slug":29,"featured":30,"template":31},"agentic-ai-guides-and-resources",true,"BlogPost","content:ja-jp:blog:agentic-ai-guides-and-resources.yml","yaml","Agentic Ai Guides And 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