Design.md: A Solution for Consistent AI-Driven Frontend UI Design
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 design
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Why Use Skillsbase to Maintain Your Own Skills Collection 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.
How to Reproduce Projects in the AI Era: Vault, a Cross-Project Persistent Storage System
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 a
Progressive Disclosure: Improving Human-Computer Interaction in AI Products with the Less Is More Philosophy
In AI product design, the quality of user input often determines the quality of the output. This article shares a “progressive disclosure” interaction approach
AI Output Token Optimization: Practicing an Ultra-Minimal Classical Chinese Mode
In AI application development, token consumption directly affects cost. In the HagiCode project, we implemented an “ultra-minimal Classical Chinese output mode”
From CLI Calls to SDK Integration: Best Practices for GitHub Copilot in .NET Projects
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 we
The Hallucination Problem in AI Coding Assistants: How to Achieve Specification-driven Development with OpenSpec
AI coding assistants are powerful, but they often generate code that does not match real requirements or violates project conventions. This article shares how
Building Elegant New User Onboarding in React Projects: HagiCode's driver.js Practice
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 new
Typing Is Slower Than Talking, and Talking Is Slower Than a Screenshot - Multimodal Input Practices for AI Coding Assistants
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 no
Full GLM-5.1 Support and Gemini CLI Integration: HagiCode's Path of Multi-Model Evolution
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 Gemini
Hagicode and GLM-5.1 Multi-CLI Integration Guide
In the Hagicode project, users can choose from multiple CLI tools to drive AI programming assistants, including Claude Code CLI, GitHub Copilot, OpenCode CLI
HagiCode Desktop Hybrid Distribution Architecture Explained: How P2P Accelerates Large File Downloads
HagiCode Desktop Hybrid Distribution Architecture Explained: How P2P Accelerates Large File Downloads: I held this article back for a long time before finally
Running AI CLI Tools in Docker Containers: A Practical Guide to User Isolation and Persistent Volumes
Integrating AI coding tools like Claude Code, Codex, and OpenCode into containerized environments sounds simple, but there are hidden complexities everywhere.
Technical Analysis of the HagiCode Soul Platform: The Evolution from Emerging Needs to an Independent Platform
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 have
Technical Analysis of the HagiCode Skill System: Building a Scalable AI Skill Management Platform
This article takes an in-depth look at the architecture and implementation of the Skill management system in the HagiCode project, covering the technical
I Might Be Replaced by an Agent, So I Ran the Numbers
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 formulas
Hagicode.Libs: Engineering Practice for Unified Integration of Multiple AI Coding Assistant CLIs
During the development of the HagiCode project, we needed to integrate multiple AI coding assistant CLIs at the same time, including Claude Code, Codex, and
Why HagiCode Chose Hermes as Its Integrated 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 simply
.NET Code Protection in Practice: From Obfuscation to Virtual Machine Protection
This article explains how to implement a multi-layered code protection strategy in .NET projects, covering the full path from basic obfuscation to professional
Building an AI Adventure Party: A Practical Guide to Multi-Agent Collaboration Configuration in HagiCode
Building an AI Adventure Party: A Practical Guide to Multi-Agent Collaboration Configuration in HagiCode: In modern software development, a single AI Agent is