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先工具、再 MCP、最後 Agent：用 Hermes Agent 打造全地端 AI 助理
我先做了聲音、圖片、影片模型的 API，再把它們包成 MCP，最後才讓 Hermes Agent 去調用。結果意外發現，跑在地端 Qwen 35B 上的 Agent，已經能自己準備素材、訓練另一個機器人的 LoRA，還能生圖、生影片、用聲音跟大家打招呼。這篇分享整套全地端架構、為什麼順序是「先工具、再 MCP、最後 Agent」，以及地端模型目前夠用和不夠用的地方。
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Is software engineering still needed in the AI era? Clean Code determines the ceiling of AI's capability.
As the AI era arrives, do we still need to read code? This article delves into human-machine collaboration and code quality optimization in AI software engineering, explaining why testing systems and architectural refactoring are key to reducing maintenance costs and cognitive risks.
Refactory: A VS Code refactoring extension that understands your project conventions, a full feature tutorial
VS Code lacks a good refactoring tool. Refactory fills this gap: 34 refactoring actions, 38 code smell checks, a Code Health dashboard, 18 languages, plus one-click fixes via local Claude Code. This tutorial shows just three things for each feature: where to place the cursor, what to press, and the result. Free to use.
Say Goodbye to Postman's Fee Trap! A Hands-on Guide to Bruno, the Open-Source Git-Native API Testing Powerhouse.
Postman starts charging and cutting features? Try Bruno (usebruno), a fully open-source, lightweight, and Git-friendly API testing tool! This article introduces the powerful Rest Client, analyzes how it solves Postman's pain points, and is a can't-miss new free API testing alternative for developers.
Building Super Mermaid with Claude Fable: beautifying and exporting VS Code Mermaid diagrams
Notes on building Super Mermaid, a VS Code extension I made with Claude. It addresses two gaps in VS Code's built-in Mermaid support—hard-to-read default styles and a broken export workflow—with automatic coloring and one-click high-resolution export.
Stop Using Regex! Build World-Class International Phone Number Validation with Google libphonenumber 套件
Struggling with the complex rules and regular expressions (Regex) for international phone number validation? This article shows how to use Google's libphonenumber library and easily implement it with React-phone-number-input (frontend) and libphonenumber-csharp (backend). Say goodbye to maintenance nightmares and provide an excellent user experience.
Training Your Own AI Voice: Hardware Requirements, Open-Source Model Comparison, and LoRA Fine-Tuning
My experience training AI voice: hardware differences for training vs. inference, comparing open-source TTS models like Qwen3-TTS and CosyVoice, LoRA fine-tuning implementation, and handling Chinese pronunciation.
AI Product Thinking: The Dual Engine Driving Internal Efficiency and External Growth
In the AI era, merely adopting technology is insufficient. This article explores how to leverage "AI product thinking"—from enhancing internal software engineering efficiency and quality to optimizing external user experience and creating business value—to fully unleash AI's true potential and build winning products.
From Project to Product: The Structural Dilemma of Taiwanese Software?
This article delves into the challenges facing Taiwan's software industry, analyzing core problems such as market size, dependence on government projects, talent drain, and development processes. Under the impact of the AI era, how can Taiwan's software industry transform to find new paths forward and a competitive edge?
Vibe Coding Tips: AI Is an Amplifier — Don't Let It Magnify Your Tech Debt
Vibe Coding looks productive, but with AI assistance it can amplify flaws and leave systems hard to maintain. This article explores why solid software engineering thinking still matters, and shares concrete engineering tips for avoiding isolated information silos and building genuinely robust applications.
AI Works Hard, But It Has No Idea What You're Doing: Practical Reflections from Multi-Agent to Vibe Coding
Introduction: The more I use AI, the more I feel it doesn't really understand what you're doing. This isn't me being pessimistic, but an honest takeaway after getting my hands dirty for a while. When you give it a complex task, the quality of its output is inherently capped by its limited context. It's fast and diligent, but it doesn't "understand" what you're doing. In this post, I want to discuss three things: the essence of Multi-Agent, the hidden aspects of Vibe Coding...
When AI Becomes the #1 Reason for Layoffs: A Calm Observation from an Engineer
In March 2026, AI surpassed "operational restructuring" and "market adjustments" for the first time to become the leading reason for corporate layoffs, accounting for 25% of all announced cuts — about 15,341 positions. As an engineer who uses AI tools daily, I take a calm look at what the data actually says, what's hype, and what it means for our profession.
Three Major Software Development Trends for 2026: The Decline of Manual Coding, Enterprise Adoption Hurdles, and the Reshaping of AI Development and Full-Stack Roles
By 2026, AI-assisted development will be the norm. While code is being produced faster, software quality isn't keeping up. This post covers three phenomena I've observed: the decline of handwritten code, the structural reasons why traditional enterprises are struggling to adopt AI, and the trend of full-stack roles being reshaped.
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