Recently updated documentation pageshttps://docs.hagicode.com/ja-JPhttps://docs.hagicode.com/ja-JP/adventure-team-introduction/https://docs.hagicode.com/ja-JP/adventure-team-introduction/管理されたスクリーンショットを通じて、HagiCode 冒険団のメンバー編成、コラボレーションフロー、機能の境界を理解します。https://docs.hagicode.com/ja-JP/ai-service-subscriptions/https://docs.hagicode.com/ja-JP/ai-service-subscriptions/HagiCodeが現在推奨するAIサービス購読サイトを一括して閲覧し、Claude Codeの設定に進む前に選択を行います。https://docs.hagicode.com/ja-JP/ai-service-subscriptions/aliyun/https://docs.hagicode.com/ja-JP/ai-service-subscriptions/aliyun/阿里云DashScopeがクラウドチームに適している理由と、Claude Codeへの接続方法を確認します。https://docs.hagicode.com/ja-JP/ai-service-subscriptions/minimax/https://docs.hagicode.com/ja-JP/ai-service-subscriptions/minimax/MiniMaxがClaude Codeの推奨購読エントリとしての特徴、適用シーン、および設定パスを確認します。https://docs.hagicode.com/ja-JP/ai-service-subscriptions/volcengine/https://docs.hagicode.com/ja-JP/ai-service-subscriptions/volcengine/火山エンジンCoding Planの位置づけ、適用シーン、およびClaude Codeの設定方法を確認します。https://docs.hagicode.com/ja-JP/ai-service-subscriptions/zai/https://docs.hagicode.com/ja-JP/ai-service-subscriptions/zai/智譜AIがClaude Codeの推奨購読エントリとして適している理由と、設定を完了する方法を確認します。https://docs.hagicode.com/ja-JP/blog/2026-01-22-github-issues-%E9%9B%86%E6%88%90/https://docs.hagicode.com/ja-JP/blog/2026-01-22-github-issues-%E9%9B%86%E6%88%90/本記事では、HagiCode プラットフォームに GitHub Issues を連携する全プロセスを記録します。「フロントエンド直結 + バックエンド最小化」のアーキテクチャを採用し、バックエンドを軽量に保ちながら、安全なhttps://docs.hagicode.com/ja-JP/blog/2026-01-26-docusaurus-auto-deployment-with-github-actions/https://docs.hagicode.com/ja-JP/blog/2026-01-26-docusaurus-auto-deployment-with-github-actions/プロジェクトの初期コードネームは PCode でしたが、現在は正式に HagiCode に改名されました。本記事では、プロジェクトに自動静的サイトデプロイ機能を導入する方法を記録します。https://docs.hagicode.com/ja-JP/blog/2026-01-26-modern-build-system-with-csharp-and-nuke/https://docs.hagicode.com/ja-JP/blog/2026-01-26-modern-build-system-with-csharp-and-nuke/HagiCode プロジェクトが Nuke を活用して、型安全でクロスプラットフォームかつ高拡張性のある自動ビルドワークフローを実現する方法を解説します。https://docs.hagicode.com/ja-JP/blog/2026-01-28-streamjsonrpc-integration-in-hagicode/https://docs.hagicode.com/ja-JP/blog/2026-01-28-streamjsonrpc-integration-in-hagicode/HagiCode（旧 PCode）プロジェクトが Microsoft の StreamJsonRpc 通信ライブラリを統合して、独自の JSON-RPC 実装を置き換えた全プロセスを詳しく解説します。https://docs.hagicode.com/ja-JP/blog/2026-01-28-%E5%88%A9%E7%94%A8-worker-threads-%E4%BC%98%E5%8C%96-vite-%E6%9E%84%E5%BB%BA%E6%80%A7%E8%83%BD%E7%9A%84%E5%AE%9E%E6%88%98/https://docs.hagicode.com/ja-JP/blog/2026-01-28-%E5%88%A9%E7%94%A8-worker-threads-%E4%BC%98%E5%8C%96-vite-%E6%9E%84%E5%BB%BA%E6%80%A7%E8%83%BD%E7%9A%84%E5%AE%9E%E6%88%98/大規模なフロントエンドプロジェクトでは、本番ビルドに時間がかかりすぎることがよくあります。本記事では、Node.js Worker Threads を活用して Vite ビルドのコード難読化の所要時間を 120 秒から 45 秒に短縮した方法を紹介します。https://docs.hagicode.com/ja-JP/blog/2026-01-31-migrate-docusaurus-to-astro-with-islands-architecture/https://docs.hagicode.com/ja-JP/blog/2026-01-31-migrate-docusaurus-to-astro-with-islands-architecture/本記事では、HagiCode 公式サイトを Docusaurus 3.x から Astro 5.x へ全面移行した全プロセスを振り返ります。Astro の Islandhttps://docs.hagicode.com/ja-JP/blog/2026-02-01-net-core-%E5%8F%8C%E6%95%B0%E6%8D%AE%E5%BA%93%E5%AE%9E%E6%88%98%E4%BC%98%E9%9B%85%E8%9E%8D%E5%90%88-postgresql-%E4%B8%8E-sqlite-%E7%9A%84%E6%9C%80%E4%BD%B3%E5%AE%9E%E8%B7%B5/https://docs.hagicode.com/ja-JP/blog/2026-02-01-net-core-%E5%8F%8C%E6%95%B0%E6%8D%AE%E5%BA%93%E5%AE%9E%E6%88%98%E4%BC%98%E9%9B%85%E8%9E%8D%E5%90%88-postgresql-%E4%B8%8E-sqlite-%E7%9A%84%E6%9C%80%E4%BD%B3%E5%AE%9E%E8%B7%B5/モダンアプリケーション構築において、開発環境では軽量・利便性を、本番環境では高並行性と高可用性を求めることがよくあります。本記事では、.NET Core プロジェクトで PostgreSQL と SQLite を同時にエレガントにサポートする方法を紹介します。https://docs.hagicode.com/ja-JP/blog/2026-02-03-hagicode-react-19-hydration-splash-screen/https://docs.hagicode.com/ja-JP/blog/2026-02-03-hagicode-react-19-hydration-splash-screen/HagiCode Splash Screen Design: The Ultimate Way to Fill the Hydration Gap in React 19 Apps: The brief gap between downloading a React 19 app and completinghttps://docs.hagicode.com/ja-JP/blog/2026-02-04-starlight-docs-integration-microsoft-clarity/https://docs.hagicode.com/ja-JP/blog/2026-02-04-starlight-docs-integration-microsoft-clarity/This article shares how to elegantly integrate Microsoft Clarity into a Starlight documentation site so you can clearly understand user behavior while stillhttps://docs.hagicode.com/ja-JP/blog/2026-02-11-agent-cli-automatic-retry/https://docs.hagicode.com/ja-JP/blog/2026-02-11-agent-cli-automatic-retry/The phrase automatic retry looks like a small toggle switch, but once you put it into a real engineering environment, it is nothing like that. Hello everyone, Ihttps://docs.hagicode.com/ja-JP/blog/2026-02-11-last30days-social-ai-research/https://docs.hagicode.com/ja-JP/blog/2026-02-11-last30days-social-ai-research/https://docs.hagicode.com/ja-JP/blog/2026-02-26-ai-compose-commit-implementation/https://docs.hagicode.com/ja-JP/blog/2026-02-26-ai-compose-commit-implementation/In the software development process, committing code is a routine task every programmer faces every day. But have you ever run into this situation: at the endhttps://docs.hagicode.com/ja-JP/blog/2026-03-05-websocket-proxy-for-doubao-speech-recognition/https://docs.hagicode.com/ja-JP/blog/2026-03-05-websocket-proxy-for-doubao-speech-recognition/The browser WebSocket API does not support custom HTTP headers, which creates a challenge for speech recognition services that require authentication data inhttps://docs.hagicode.com/ja-JP/blog/2026-03-06-doubao-speech-recognition-hotword-support/https://docs.hagicode.com/ja-JP/blog/2026-03-06-doubao-speech-recognition-hotword-support/This article explains in detail how to implement hotword support for Doubao speech recognition in the HagiCode project. By using both custom hotwords andhttps://docs.hagicode.com/ja-JP/blog/2026-03-07-codex-sdk-typescript-to-csharp-porting-guide/https://docs.hagicode.com/ja-JP/blog/2026-03-07-codex-sdk-typescript-to-csharp-porting-guide/Put simply, this article is also a bit of a baby of ours: it records the full process of porting the official TypeScript Codex SDK to C#. Calling it a "port"https://docs.hagicode.com/ja-JP/blog/2026-03-09-codex-sdk-console-message-parsing/https://docs.hagicode.com/ja-JP/blog/2026-03-09-codex-sdk-console-message-parsing/This article explains the Codex SDK event stream mechanism, message type parsing, and best practices in real projects, helping developers quickly master thehttps://docs.hagicode.com/ja-JP/blog/2026-03-09-hagicode-multi-ai-provider-switching-interop/https://docs.hagicode.com/ja-JP/blog/2026-03-09-hagicode-multi-ai-provider-switching-interop/HagiCode Multi-AI Provider Switching and Interoperability Implementation Plan: In the modern developer-tooling ecosystem, developers often need to use differenthttps://docs.hagicode.com/ja-JP/blog/2026-03-10-hagicode-multi-ai-provider-architecture/https://docs.hagicode.com/ja-JP/blog/2026-03-10-hagicode-multi-ai-provider-architecture/This article shares the technical approach we used under the Orleans Grain architecture to integrate two AI tools, iflow and OpenCode, through a unifiedhttps://docs.hagicode.com/ja-JP/blog/2026-03-11-csharp-codebuddy-cli-integration-guide/https://docs.hagicode.com/ja-JP/blog/2026-03-11-csharp-codebuddy-cli-integration-guide/This article walks through a complete approach to integrating CodeBuddy CLI into a C# backend project so you can deliver AI coding assistant capabilities end tohttps://docs.hagicode.com/ja-JP/blog/2026-03-13-imgbin-cli-tool-asset-management/https://docs.hagicode.com/ja-JP/blog/2026-03-13-imgbin-cli-tool-asset-management/This article explains how to build an automatable image asset pipeline from scratch, covering CLI tool design, a Provider Adapter architecture, and metadatahttps://docs.hagicode.com/ja-JP/blog/2026-03-13-primary-profession-management/https://docs.hagicode.com/ja-JP/blog/2026-03-13-primary-profession-management/メイン職業設定が有効状態を永続化し、CLIの可用性チェックに対応するようになりました。https://docs.hagicode.com/ja-JP/blog/2026-03-16-gamifying-ai-coding/https://docs.hagicode.com/ja-JP/blog/2026-03-16-gamifying-ai-coding/Traditional AI coding tools are actually quite powerful; they just lack a bit of warmth. When we were building HagiCode, we thought: if we are going to writehttps://docs.hagicode.com/ja-JP/blog/2026-03-17-hagicode-ai-agent-party/https://docs.hagicode.com/ja-JP/blog/2026-03-17-hagicode-ai-agent-party/Building an AI Adventure Party: A Practical Guide to Multi-Agent Collaboration Configuration in HagiCode: In modern software development, a single AI Agent ishttps://docs.hagicode.com/ja-JP/blog/2026-03-17-%E6%89%93%E9%80%A0-ai-%E5%86%92%E9%99%A9%E5%9B%A2-hagicode-%E5%A4%9A-agent-%E5%8D%8F%E4%BD%9C%E9%85%8D%E7%BD%AE%E5%AE%9E%E6%88%98/https://docs.hagicode.com/ja-JP/blog/2026-03-17-%E6%89%93%E9%80%A0-ai-%E5%86%92%E9%99%A9%E5%9B%A2-hagicode-%E5%A4%9A-agent-%E5%8D%8F%E4%BD%9C%E9%85%8D%E7%BD%AE%E5%AE%9E%E6%88%98/Building an AI Adventure Party: HagiCode Multi-Agent Collaboration Configuration in Practice: In modern software development, a single AI Agent is no longerhttps://docs.hagicode.com/ja-JP/blog/2026-03-18-dotnet-code-protection-obfuscation-to-vmprotect/https://docs.hagicode.com/ja-JP/blog/2026-03-18-dotnet-code-protection-obfuscation-to-vmprotect/This article explains how to implement a multi-layered code protection strategy in .NET projects, covering the full path from basic obfuscation to professionalhttps://docs.hagicode.com/ja-JP/blog/2026-03-19-hagicode-hermes-agent-core/https://docs.hagicode.com/ja-JP/blog/2026-03-19-hagicode-hermes-agent-core/When building an AI-assisted coding platform, choosing the right Agent core directly determines the upper limit of the system's capabilities. Some things simplyhttps://docs.hagicode.com/ja-JP/blog/2026-03-20-hagicode-libs-unified-cli-integration/https://docs.hagicode.com/ja-JP/blog/2026-03-20-hagicode-libs-unified-cli-integration/During the development of the HagiCode project, we needed to integrate multiple AI coding assistant CLIs at the same time, including Claude Code, Codex, andhttps://docs.hagicode.com/ja-JP/blog/2026-03-22-ai-productivity-calculator-science/https://docs.hagicode.com/ja-JP/blog/2026-03-22-ai-productivity-calculator-science/I Might Be Replaced by an Agent, So I Ran the Numbers: Quantifying AI replacement risk with data: a deep dive into how the HagiCode team uses six core formulashttps://docs.hagicode.com/ja-JP/blog/2026-03-24-hagicode-skill-system-technical-analysis/https://docs.hagicode.com/ja-JP/blog/2026-03-24-hagicode-skill-system-technical-analysis/This article takes an in-depth look at the architecture and implementation of the Skill management system in the HagiCode project, covering the technicalhttps://docs.hagicode.com/ja-JP/blog/2026-03-25-hagicode-soul-platform-technical-analysis/https://docs.hagicode.com/ja-JP/blog/2026-03-25-hagicode-soul-platform-technical-analysis/Writing technical articles is not really such a grand thing. It is mostly just a matter of organizing the pitfalls you have run into and the detours you havehttps://docs.hagicode.com/ja-JP/blog/2026-03-26-docker-ai-cli-user-isolation-guide/https://docs.hagicode.com/ja-JP/blog/2026-03-26-docker-ai-cli-user-isolation-guide/Integrating AI coding tools like Claude Code, Codex, and OpenCode into containerized environments sounds simple, but there are hidden complexities everywhere.https://docs.hagicode.com/ja-JP/blog/2026-03-27-hagicode-desktop-p2p-acceleration-architecture/https://docs.hagicode.com/ja-JP/blog/2026-03-27-hagicode-desktop-p2p-acceleration-architecture/HagiCode Desktop Hybrid Distribution Architecture Explained: How P2P Accelerates Large File Downloads: I held this article back for a long time before finallyhttps://docs.hagicode.com/ja-JP/blog/2026-03-28-hagicode-glm5-1-multi-cli-integration/https://docs.hagicode.com/ja-JP/blog/2026-03-28-hagicode-glm5-1-multi-cli-integration/In the Hagicode project, users can choose from multiple CLI tools to drive AI programming assistants, including Claude Code CLI, GitHub Copilot, OpenCode CLIhttps://docs.hagicode.com/ja-JP/blog/2026-03-30-hagicode-glm-5-1-gemini-cli-update/https://docs.hagicode.com/ja-JP/blog/2026-03-30-hagicode-glm-5-1-gemini-cli-update/This article introduces two major recent updates to the HagiCode platform: full support for the Zhipu AI GLM-5.1 model and the successful integration of Geminihttps://docs.hagicode.com/ja-JP/blog/2026-03-31-voice-and-image-upload-multimodal-input/https://docs.hagicode.com/ja-JP/blog/2026-03-31-voice-and-image-upload-multimodal-input/Typing Is Slower Than Talking, and Talking Is Slower Than a Screenshot - Multimodal Input Practices for AI Coding Assistants: Writing code has a speed limit nohttps://docs.hagicode.com/ja-JP/blog/2026-04-01-new-user-guide-with-driverjs/https://docs.hagicode.com/ja-JP/blog/2026-04-01-new-user-guide-with-driverjs/When users open your product for the first time, do they really know where to start? In this article, I want to talk a bit about how we used driver.js for newhttps://docs.hagicode.com/ja-JP/blog/2026-04-02-ai-coding-assistant-hallucination-openspec-spec-driven-development/https://docs.hagicode.com/ja-JP/blog/2026-04-02-ai-coding-assistant-hallucination-openspec-spec-driven-development/AI coding assistants are powerful, but they often generate code that does not match real requirements or violates project conventions. This article shares howhttps://docs.hagicode.com/ja-JP/blog/2026-04-03-github-copilot-sdk-integration/https://docs.hagicode.com/ja-JP/blog/2026-04-03-github-copilot-sdk-integration/The upgrade path from command-line invocation to official SDK integration has been quite a journey. Today, I want to share the pitfalls we ran into and what wehttps://docs.hagicode.com/ja-JP/blog/2026-04-04-soul-token-optimization-classical-chinese/https://docs.hagicode.com/ja-JP/blog/2026-04-04-soul-token-optimization-classical-chinese/In AI application development, token consumption directly affects cost. In the HagiCode project, we implemented an "ultra-minimal Classical Chinese output mode"https://docs.hagicode.com/ja-JP/blog/2026-04-05-progressive-disclosure-hci/https://docs.hagicode.com/ja-JP/blog/2026-04-05-progressive-disclosure-hci/In AI product design, the quality of user input often determines the quality of the output. This article shares a "progressive disclosure" interaction approachhttps://docs.hagicode.com/ja-JP/blog/2026-04-06-vault-persistent-storage-for-ai-era/https://docs.hagicode.com/ja-JP/blog/2026-04-06-vault-persistent-storage-for-ai-era/In the era of AI-assisted development, how can we help AI assistants better understand our learning resources? The HagiCode project built the Vault system as ahttps://docs.hagicode.com/ja-JP/blog/2026-04-07-why-use-skillsbase-for-skills-repository/https://docs.hagicode.com/ja-JP/blog/2026-04-07-why-use-skillsbase-for-skills-repository/It is kind of funny when you think about it: the era of AI programming has arrived, and the Agent Skills we keep on hand are becoming more and more numerous.https://docs.hagicode.com/ja-JP/blog/2026-04-08-design-md-consistent-ui/https://docs.hagicode.com/ja-JP/blog/2026-04-08-design-md-consistent-ui/In the era of AI-assisted frontend development, how can you keep AI-generated UIs consistent? This article shares our hands-on experience building a designhttps://docs.hagicode.com/ja-JP/blog/2026-04-09-design-md-web-editor-implementation/https://docs.hagicode.com/ja-JP/blog/2026-04-09-design-md-web-editor-implementation/In the MonoSpecs project management system, DESIGN.md carries the architectural design and technical decisions of a project. But the traditional editinghttps://docs.hagicode.com/ja-JP/blog/2026-04-10-vault-system-ai-knowledge-base/https://docs.hagicode.com/ja-JP/blog/2026-04-10-vault-system-ai-knowledge-base/Building a Cross-Project Knowledge Base for the AI Era with the Vault System: Learning by studying and reproducing real projects is becoming mainstream, buthttps://docs.hagicode.com/ja-JP/blog/2026-04-11-border-light-animation-effect/https://docs.hagicode.com/ja-JP/blog/2026-04-11-border-light-animation-effect/How do you build that important element users notice at a glance using pure CSS? It is actually not that hard. The trick is just taking a slightly roundabouthttps://docs.hagicode.com/ja-JP/blog/2026-04-12-vscode-web-integration-browser-editing/https://docs.hagicode.com/ja-JP/blog/2026-04-12-vscode-web-integration-browser-editing/After AI finishes analyzing code, how do you immediately open an editor in the browser and start making changes? This article shares our practical experiencehttps://docs.hagicode.com/ja-JP/blog/2026-04-13-how-to-install-and-use-hermes/https://docs.hagicode.com/ja-JP/blog/2026-04-13-how-to-install-and-use-hermes/Learn how to install Hermes, run the CLI, configure models, and complete the minimum setup for Feishu gateway integration.https://docs.hagicode.com/ja-JP/blog/2026-04-13-vscode-web-integration-browser-editing/https://docs.hagicode.com/ja-JP/blog/2026-04-13-vscode-web-integration-browser-editing/When building browser-based code editing capabilities, developers face a key choice: use VSCode's official code serve-web feature, or adopt the community-drivenhttps://docs.hagicode.com/ja-JP/blog/2026-04-14-hermes-agent-integration-practice/https://docs.hagicode.com/ja-JP/blog/2026-04-14-hermes-agent-integration-practice/Sharing the complete HagiCode experience of integrating Hermes Agent, including core lessons around ACP protocol adaptation, session pool management, andhttps://docs.hagicode.com/ja-JP/blog/2026-04-15-low-cost-cloud-server-download-distribution-station/https://docs.hagicode.com/ja-JP/blog/2026-04-15-low-cost-cloud-server-download-distribution-station/How to Build a Fast Download Distribution Station with Low-Cost Cloud Servers: Cloud storage bandwidth is absurdly expensive, cross-border access is painfullyhttps://docs.hagicode.com/ja-JP/blog/2026-04-16-steam-release-automation-github-actions/https://docs.hagicode.com/ja-JP/blog/2026-04-16-steam-release-automation-github-actions/This article shares the complete solution we implemented for automated Steam releases in the HagiCode Desktop project, covering the end-to-end automation flowhttps://docs.hagicode.com/ja-JP/blog/2026-04-17-sqlite-sharding-strategies-comparison/https://docs.hagicode.com/ja-JP/blog/2026-04-17-sqlite-sharding-strategies-comparison/When a single-file SQLite database hits concurrency bottlenecks, how do we break through? This article shares three SQLite sharding approaches from the HagiCodehttps://docs.hagicode.com/ja-JP/blog/2026-04-28-why-hagicode-chose-execa-for-cli-execution/https://docs.hagicode.com/ja-JP/blog/2026-04-28-why-hagicode-chose-execa-for-cli-execution/https://docs.hagicode.com/ja-JP/blog/2026-05-06-github-actions-multi-platform-code-server-omniroute/https://docs.hagicode.com/ja-JP/blog/2026-05-06-github-actions-multi-platform-code-server-omniroute/https://docs.hagicode.com/ja-JP/blog/2026-05-06-gpt-model-integration-with-copilot-cli/https://docs.hagicode.com/ja-JP/blog/2026-05-06-gpt-model-integration-with-copilot-cli/https://docs.hagicode.com/ja-JP/blog/2026-05-07-chat-image-upload-ai-recognition/https://docs.hagicode.com/ja-JP/blog/2026-05-07-chat-image-upload-ai-recognition/https://docs.hagicode.com/ja-JP/blog/2026-05-07-customizing-openspec-steps/https://docs.hagicode.com/ja-JP/blog/2026-05-07-customizing-openspec-steps/https://docs.hagicode.com/ja-JP/blog/2026-05-08-optimizing-openspec-with-different-agents/https://docs.hagicode.com/ja-JP/blog/2026-05-08-optimizing-openspec-with-different-agents/https://docs.hagicode.com/ja-JP/blog/2026-05-08-p2p-distribution-acceleration-practice/https://docs.hagicode.com/ja-JP/blog/2026-05-08-p2p-distribution-acceleration-practice/https://docs.hagicode.com/ja-JP/blog/2026-05-09-ai-cost-efficiency-calculation/https://docs.hagicode.com/ja-JP/blog/2026-05-09-ai-cost-efficiency-calculation/https://docs.hagicode.com/ja-JP/blog/2026-05-09-steamworks-multilingual-metadata-management/https://docs.hagicode.com/ja-JP/blog/2026-05-09-steamworks-multilingual-metadata-management/https://docs.hagicode.com/ja-JP/blog/2026-05-11-opencode-integration/https://docs.hagicode.com/ja-JP/blog/2026-05-11-opencode-integration/https://docs.hagicode.com/ja-JP/blog/2026-05-19-user-custom-configuration-management/https://docs.hagicode.com/ja-JP/blog/2026-05-19-user-custom-configuration-management/https://docs.hagicode.com/ja-JP/blog/2026-05-20-windows-app-automation-to-microsoft-store/https://docs.hagicode.com/ja-JP/blog/2026-05-20-windows-app-automation-to-microsoft-store/https://docs.hagicode.com/ja-JP/blog/2026-06-08-integrating-pi-agent-into-hagicode/https://docs.hagicode.com/ja-JP/blog/2026-06-08-integrating-pi-agent-into-hagicode/https://docs.hagicode.com/ja-JP/blog/2026-06-09-integrating-reasonix-cli-into-hagicode/https://docs.hagicode.com/ja-JP/blog/2026-06-09-integrating-reasonix-cli-into-hagicode/https://docs.hagicode.com/ja-JP/blog/2026-06-10-how-to-integrate-and-use-impeccable/https://docs.hagicode.com/ja-JP/blog/2026-06-10-how-to-integrate-and-use-impeccable/https://docs.hagicode.com/ja-JP/blog/2026-06-16-electron-msstore-subscription-license/https://docs.hagicode.com/ja-JP/blog/2026-06-16-electron-msstore-subscription-license/https://docs.hagicode.com/ja-JP/blog/2026-06-17-electron-windows-native-api-integration/https://docs.hagicode.com/ja-JP/blog/2026-06-17-electron-windows-native-api-integration/https://docs.hagicode.com/ja-JP/blog/2026-06-18-electron-app-publish-to-microsoft-store/https://docs.hagicode.com/ja-JP/blog/2026-06-18-electron-app-publish-to-microsoft-store/https://docs.hagicode.com/ja-JP/blog/2026-06-18-how-to-use-upptime-for-free-status-page/https://docs.hagicode.com/ja-JP/blog/2026-06-18-how-to-use-upptime-for-free-status-page/https://docs.hagicode.com/ja-JP/blog/2026-06-19-pi-agent-integration-message-parsing-retry-cancel/https://docs.hagicode.com/ja-JP/blog/2026-06-19-pi-agent-integration-message-parsing-retry-cancel/https://docs.hagicode.com/ja-JP/blog/2026-06-19-reasonix-1x-deepseek-v4-acp-integration/https://docs.hagicode.com/ja-JP/blog/2026-06-19-reasonix-1x-deepseek-v4-acp-integration/https://docs.hagicode.com/ja-JP/blog/2026-06-20-hagicode-ai-commit-prompt-design/https://docs.hagicode.com/ja-JP/blog/2026-06-20-hagicode-ai-commit-prompt-design/https://docs.hagicode.com/ja-JP/blog/2026-06-20-monospecs-openspec-upgrade-and-extension/https://docs.hagicode.com/ja-JP/blog/2026-06-20-monospecs-openspec-upgrade-and-extension/https://docs.hagicode.com/ja-JP/blog/2026-06-21-orleans-hagicode-backend-system/https://docs.hagicode.com/ja-JP/blog/2026-06-21-orleans-hagicode-backend-system/https://docs.hagicode.com/ja-JP/blog/2026-06-22-hagicode-13-agent-cli-integration-architecture/https://docs.hagicode.com/ja-JP/blog/2026-06-22-hagicode-13-agent-cli-integration-architecture/https://docs.hagicode.com/ja-JP/blog/2026-06-23-hagicode-preset-task-multiple-skills-support/https://docs.hagicode.com/ja-JP/blog/2026-06-23-hagicode-preset-task-multiple-skills-support/https://docs.hagicode.com/ja-JP/blog/2026-07-03-goal-preset-agent-compatible-prompt-variants/https://docs.hagicode.com/ja-JP/blog/2026-07-03-goal-preset-agent-compatible-prompt-variants/https://docs.hagicode.com/ja-JP/blog/2026-07-04-goal-preset-agent-compatible-prompt-variants/https://docs.hagicode.com/ja-JP/blog/2026-07-04-goal-preset-agent-compatible-prompt-variants/https://docs.hagicode.com/ja-JP/bundles/hagicode-plus/https://docs.hagicode.com/ja-JP/bundles/hagicode-plus/HagiCode PlusはHagiCodeのヘビーユーザー向けのお得なバンドルパッケージで、Steam本体とTurbo Engine DLCのより完全な体験を一度にアンロックします。https://docs.hagicode.com/ja-JP/dlc/all-beauties-pack/https://docs.hagicode.com/ja-JP/dlc/all-beauties-pack/未定https://docs.hagicode.com/ja-JP/dlc/sponsor-pack/https://docs.hagicode.com/ja-JP/dlc/sponsor-pack/Sponsor Packの位置づけを理解する：なぜ意図的に機能アンロックを提供しないのか、そして現在のスポンサーアイデンティティ表示と将来の権利フレームワークがどのように設計されているか。https://docs.hagicode.com/ja-JP/dlc/turbo-engine-dlc/https://docs.hagicode.com/ja-JP/dlc/turbo-engine-dlc/Turbo Engineは提案の同時実行上限、ドキュメントテーマ、カスタム署名、ブランディング、アバター機能をアンロックする、ヘビーユーザー向けのコア拡張アドオンです。https://docs.hagicode.com/ja-JP/faq/https://docs.hagicode.com/ja-JP/faq/一般的なHagiCode ランタイムの注意事項、起動時の注意事項、ランタイム環境の説明、将来のトラブルシューティングのエントリを 1 か所で確認します。https://docs.hagicode.com/ja-JP/faq/claude-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/claude-vs-hagicode/Claudeの主な機能、モデル特性、プラグインエコシステムを理解し、マルチスレッド並列処理、OpenSpec提案、AIコミット、Preset Task、ゲーム化UI、Agent管理、Monospecs、Vault、OmniRouteを通じてHagiCodeがClaudeを次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/codebuddy-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/codebuddy-vs-hagicode/CodeBuddy CLI の主な機能、エンタープライズ級の特性、技術エコシステムを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が CodeBuddy を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/codex-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/codex-vs-hagicode/OpenAI Codex CLI の主な機能、技術アーキテクチャ、CLI とツールのエコシステムを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Codex を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/copilot-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/copilot-vs-hagicode/GitHub Copilot の主な機能、マルチモデルサポート、技術アーキテクチャを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Copilot をコード補完アシスタントから全ワークフローの開発パートナーへと引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/deepagents-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/deepagents-vs-hagicode/DeepAgents の主な機能、LangChain エコシステム、技術アーキテクチャを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が DeepAgents を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/desktop-node-environment/https://docs.hagicode.com/ja-JP/faq/desktop-node-environment/HagiCode Desktop が Node.js をバンドルする理由と、ユーザーが Desktop を実行しているときにバンドルされたノード パスがどのように優先されるかを説明します。https://docs.hagicode.com/ja-JP/faq/gemini-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/gemini-vs-hagicode/Google Gemini CLI の主な機能、マルチモーダル能力、Google エコシステム統合を理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Gemini CLI を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/hermes-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/hermes-vs-hagicode/Hermes Agent の主な機能、推論特性、研究背景を理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Hermes を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/kimi-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/kimi-vs-hagicode/Kimi CLI の主な機能、中国語最適化、Moonshot AI エコシステムを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Kimi CLI を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/kiro-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/kiro-vs-hagicode/Kiro CLI の主な機能、技術的特性、開発者体験を理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Kiro CLI を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/omp-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/omp-vs-hagicode/Understand OMP CLI's provider-first workflow, environment-pinned one-shot execution, thinking controls, and fine-grained tool governance, and see how HagiCode turns OMP into a production-grade AI programming workbench through multi-threaded parallelism, OpenSpec proposals, AI commits, Preset Tasks, gamified UI, Agents management, Monospecs, Vault, and OmniRoute.https://docs.hagicode.com/ja-JP/faq/opencode-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/opencode-vs-hagicode/OpenCode の主な機能、オープンソースアーキテクチャ、コミュニティエコシステムを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が OpenCode を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/pi-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/pi-vs-hagicode/Pi CLI のプロバイダーファーストのワークフロー、セッション制御、ツールガバナンスを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Pi を本番級の AI プログラミングワークベンチへと変える方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/qoder-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/qoder-vs-hagicode/QoderCLI の主な機能、技術的特性、アプリケーションエコシステムを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が QoderCLI を次のレベルに引き上げる方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/reasonix-vs-hagicode/https://docs.hagicode.com/ja-JP/faq/reasonix-vs-hagicode/Reasonix CLI の推論制御、予算ガードレール、トランスクリプトフレンドリーなワークフローを理解し、マルチスレッド並列、OpenSpec 提案、AI コミット、Preset Task、ゲーム化 UI、Agents 管理、Monospecs、Vault、OmniRoute を通じて HagiCode が Reasonix を本番級の AI プログラミングプラットフォームへと変える方法をご覧ください。https://docs.hagicode.com/ja-JP/faq/steam-distribution-status/https://docs.hagicode.com/ja-JP/faq/steam-distribution-status/Steam の最終判断、HagiCode が受け入れられなかった実務上の理由、および他の配布チャネルの現在の状況を説明します。https://docs.hagicode.com/ja-JP/faq/tips/https://docs.hagicode.com/ja-JP/faq/tips/浏览文档站在发布时从 Index 同步的 HagiCode 使用 tips，并按主题查看项目、提案、会话与 Agent 协作建议。https://docs.hagicode.com/ja-JP/guides/ai-compose-commit/https://docs.hagicode.com/ja-JP/guides/ai-compose-commit/AI を使用して Git コミット メッセージをインテリジェントに生成し、コミットの品質と一貫性を向上させます。https://docs.hagicode.com/ja-JP/guides/hagitask/community/https://docs.hagicode.com/ja-JP/guides/hagitask/community/HagiTask Community Packages のタスクパッケージを作成、検証、バージョン管理し、提出する手順を説明します。https://docs.hagicode.com/ja-JP/guides/hagitask/installation/https://docs.hagicode.com/ja-JP/guides/hagitask/installation/Community Gallery またはアーカイブから HagiTask のタスクパッケージをインストールし、結果を確認する方法を説明します。https://docs.hagicode.com/ja-JP/guides/hagitask/introduction/https://docs.hagicode.com/ja-JP/guides/hagitask/introduction/HagiTask のタスクパッケージモデル、組み込みプリセット、コミュニティタスク、ガイドの入口を紹介します。https://docs.hagicode.com/ja-JP/guides/hagitask/usage/https://docs.hagicode.com/ja-JP/guides/hagitask/usage/HagiTask の検索、インストール、有効化、更新、実行と、ソース管理の範囲について説明します。https://docs.hagicode.com/ja-JP/guides/monospecs/https://docs.hagicode.com/ja-JP/guides/monospecs/monospecs.yaml の役割、主要フィールド、運用手順、OpenSpec との関係を整理し、MonoSpecs のマルチリポジトリ管理を実践できるようにします。https://docs.hagicode.com/ja-JP/guides/skills/https://docs.hagicode.com/ja-JP/guides/skills/ローカル スキルを確認し、ギャラリーを検索し、インストールの詳細を検査し、HagiCode の信頼できるプロバイダーを理解する方法を学びます。https://docs.hagicode.com/ja-JP/guides/voice-recognition/doubao/https://docs.hagicode.com/ja-JP/guides/voice-recognition/doubao/提案やコメントを素早く入力し、音声でメッセージに返信する - 非常に高速かつ正確https://docs.hagicode.com/ja-JP/installation/https://docs.hagicode.com/ja-JP/installation/ワークフローに合ったHagiCode インストール パスを選択し、必要に応じてサポート ツールを使用してください。https://docs.hagicode.com/ja-JP/installation/desktop/https://docs.hagicode.com/ja-JP/installation/desktop/グラフィカルインターフェイスを備えたHagiCodeデスクトップアプリケーションのインストールと使用に関するガイド。https://docs.hagicode.com/ja-JP/installation/docker-compose/https://docs.hagicode.com/ja-JP/installation/docker-compose/Docker Composeを使用した完全なHagiCodeシステムのワンクリックデプロイメント。https://docs.hagicode.com/ja-JP/installation/windows-store/https://docs.hagicode.com/ja-JP/installation/windows-store/Microsoft Store から HagiCode for Windows を導入し、初回起動の流れ、配布チャネルの挙動、よくある問題を確認します。https://docs.hagicode.com/ja-JP/legal/eula/https://docs.hagicode.com/ja-JP/legal/eula/agicode のライセンス範囲、使用制限、免責条項、責任制限、およびソフトウェアと hagicode.com とそのすべてのサブドメイン サイトのサポート チャネルを定義します。https://docs.hagicode.com/ja-JP/legal/privacy-policy/https://docs.hagicode.com/ja-JP/legal/privacy-policy/データ カテゴリ、使用目的、保持アプローチ、ユーザー権利、連絡チャネルなど、HagiCode 製品と hagicode.com とそのすべてのサブドメイン サイトについて説明します。https://docs.hagicode.com/ja-JP/llm-guide/https://docs.hagicode.com/ja-JP/llm-guide/ＨａｇｉＣｏｄｅの機種選定・比較・保守ガイド。https://docs.hagicode.com/ja-JP/llm-guide/model-comparison-evaluation/https://docs.hagicode.com/ja-JP/llm-guide/model-comparison-evaluation/実際にHagiCodeに統合して使用したLLMの経験に重点を置いた比較。https://docs.hagicode.com/ja-JP/product-overview/https://docs.hagicode.com/ja-JP/product-overview/HagiCode がプロジェクトの理解、AI セッション、提案の実行、知識の再利用を一連の開発フローにつなぐ仕組みと、インストール・利用開始の方法を紹介します。https://docs.hagicode.com/ja-JP/quick-start/conversation-session/https://docs.hagicode.com/ja-JP/quick-start/conversation-session/ハギコードのデフォルトの読み取り専用会話フローから開始し、直接変更が必要な場合にのみ編集モードに切り替えます。https://docs.hagicode.com/ja-JP/quick-start/proposal-session/https://docs.hagicode.com/ja-JP/quick-start/proposal-session/提案セッション (アイデア セッションとも呼ばれる) を使用して、OpenSpec の構造化されたワークフローを通じて抽象的なアイデアを実行可能なコードに変換する方法を学びます。https://docs.hagicode.com/ja-JP/quick-start/wizard-setup/https://docs.hagicode.com/ja-JP/quick-start/wizard-setup/現在の 3 段階の初期化ウィザードと、言語、テーマ、依存関係チェック、およびデフォルトのエージェント作成に関する最新の基本設定フローについて説明します。https://docs.hagicode.com/ja-JP/related-software-installation/ai-agent-cli/https://docs.hagicode.com/ja-JP/related-software-installation/ai-agent-cli/現在、HagiCode でサポートされているエージェント CLI 用の 1 つの公式リンクファースト レジストリ。このドキュメント サイトでは、ベンダーのインストール コマンド、ログイン フロー、トラブルシューティングの表が複製されません。https://docs.hagicode.com/ja-JP/related-software-installation/nodejs/installation/https://docs.hagicode.com/ja-JP/related-software-installation/nodejs/installation/このガイドは、Windows、macOS、および Linux に Node.js ランタイム環境をインストールするのに役立ちます。https://docs.hagicode.com/ja-JP/related-software-installation/omniroute/https://docs.hagicode.com/ja-JP/related-software-installation/omniroute/OmniRoute の日本語ドキュメントで、最新のインストール、設定、利用ガイドをご覧ください。https://docs.hagicode.com/ja-JP/related-software-installation/openspec/intro-openspec/https://docs.hagicode.com/ja-JP/related-software-installation/openspec/intro-openspec/OpenSpec の日本語ドキュメントで、最新のインストール手順とガイドをご覧ください。https://docs.hagicode.com/ja-JP/release-notes/https://docs.hagicode.com/ja-JP/release-notes/ドキュメントサイトに同期された HagiCode リリースノートを参照できます。