Articles

Essays on design, technology, and everyday life, written slowly enough to keep a quiet corner of the internet alive.

Tech2 views

React Native 0.85: A Polished Upgrade Built on the New Architecture

When React Native 0.85 was released, the official messaging did not frame it as a “revolutionary” release, because this update is essentially a systematic refinement of core infrastructure — animations, debugging, testing, and related tooling — on top of the new architecture that has already landed.

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Tech4 views

An In-Depth Introduction to Hermes Agent and a Comparative Analysis with OpenClaw

Hermes Agent is an open-source self-evolving AI agent framework released by Nous Research in late February 2026. By early May 2026, it has exceeded 100,000 stars on GitHub, becoming one of the fastest-growing open-source projects in 2026. This lightweight Python-based framework is most notable for being "smarter with use" — it can automatically learn from each task, create and improve skills, and build long-term memory.

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Tech27 views

Matt Pocock Skills: Make AI programming work like a real engineer

Matt Pocock's Skills project is an engineering skill library designed for AI coding assistants (e.g., Claude Code). By modularizing standard software development workflows, it addresses the core pain point of unstable AI-generated code quality. This project, built with just a few Markdown files, has earned 23,000 stars on GitHub, becoming a pivotal practice in AI-assisted development.

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Tech3 views

A Practical Intro to MCP for Frontend Developers

Many frontend engineers feel confused the first time they hear about MCP. The name sounds like a protocol, the content feels like agents, and people keep mentioning tools, prompts, resources, and skills. You do not need to digest all of those terms at once; the key idea is simple: MCP is a standard way to let AI connect to tools, fetch data, and actually get things done.

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Tech1 views

code-review-graph: Make AI Code Reviews More Precise and Token-Efficient

code-review-graph is an open-source tool designed for AI coding assistants. It builds a structured “knowledge graph” of your codebase locally, then feeds only the truly relevant context to the AI, instead of rescanning the entire repository for every task. It uses Tree-sitter to parse ASTs, models functions, classes, imports, call relationships, and tests as a graph, and exposes this graph via MCP to tools like Claude Code, Codex, and Cursor.

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Tech8 views

A Beginner’s Guide to Deploying on VPS with Kamal 2

Right now, the main full‑stack frameworks I use are Next.js 16 and Rails 8. Through Rails, I came across the officially recommended deployment tool: Kamal. I usually use it to deploy projects on RN and Alibaba Cloud servers. It feels smooth and simple to work with, so I’d like to introduce Kamal2’s core concepts and basic usage to you as well.

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