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HagiCode is a product that combines an AI coding tool, a gamified feedback system, and a full development workspace into one platform.
It brings AI into the full software development process, from repository understanding and proposals to implementation, commits, knowledge capture, and feedback.
Website · Product Overview · Desktop · Container · Windows Store · Blog
Use Windows Store for the current desktop entry point. Plus and DLC details now point to the docs site while the retired Steam main application status is explained in the FAQ.
| Preview | Product | Role | CTA |
|---|---|---|---|
|
HagiCode for Windows | Current public entry point for the desktop app. The Steam main application entry has been retired. | Open Windows Store · Desktop downloads · Steam status FAQ |
 |
Hagicode Plus | Bundle and upgrade guidance remains available through the docs site. | Read Hagicode Plus docs |
 |
Turbo Engine DLC | DLC guidance for higher concurrency and customization remains available through the docs site. | Read Turbo Engine DLC docs |
- Proposal-driven AI coding:
OpenSpeckeeps scope, tasks, impact analysis, validation, and execution connected instead of turning complex work into blind edits. - Flexible agent and model routing: mainstream Agent CLIs and
OmniRoutelet teams choose the interaction layer and the model layer independently. - A full development workspace:
MonoSpecs,Skills,Vault,AI Compose Commit, andcode-serverkeep multi-repository work, knowledge capture, and finishing steps inside one system. - Gamified feedback with real signals: achievements, daily reports, efficiency multipliers, and token throughput make long-running AI work easier to read and manage.
- Website
- Product Overview
- Desktop
- Container
- Windows Store for the current Windows desktop entry point
- Steam status FAQ for why the Steam main application is no longer the primary channel
- Blog
- Quick Start Guide
- site - Official marketing site and public GitHub landing repository
- desktop - Desktop client for local-first HagiCode workflows
- container - Self-hosted deployment path for teams and server environments
- docs - Documentation site with the canonical product overview and guides
| 日期 | 标题 |
|---|---|
| 2026/5/20 | Windows 应用自动上架 Microsoft Store 的自动化实践 |
| 2026/5/19 | 用户自定义配置管理最佳实践 |
| 2026/5/11 | OpenCode 对接实践：从独立进程到共享 Runtime 的架构演进 |
| 2026/5/9 | AI 成本效益的量化评估 |
| 2026/5/9 | Steamworks 多语言元数据管理：从手动维护到结构化工作流 |
| 2026/5/8 | 用不同的 Agent 优化 OpenSpec 各阶段效能：HagiCode 实践总结 |
| 2026/5/8 | 桌面应用 P2P 分发加速实践：从消费端到发布端的全链路打通 |
| 2026/5/7 | 如何使用 GitHub Actions 构建多平台的 code-server 与 OmniRoute |
| 2026/5/7 | 在聊天中实现图片上传与 AI 识别：从设计到落地的完整方案 |
| 2026/5/7 | 自定义 OpenSpec 步骤改进生成结果 |
Ready to explore the full product story? Start at hagicode.com and choose the path that fits your workflow.