Looking for a one‑stop platform that deeply merges frontend development with AI? This community focuses on intelligent frontend tech, offering cutting‑edge insights, practical implementation experience, toolchain innovations, and rich content to help developers quickly break through in the AI‑driven frontend era.
The article introduces the U‑Shaped Thinking framework, explains its three phases—Descending, Bottom, Ascending—shows how traditional linear AI reasoning falls short, and provides concrete prompts, validation criteria, and real‑world case studies to transform AI from a simple tool into a co‑creative partner.
The article systematically defines and compares the seven key AI programming abstractions—Rules, Commands, Subagents, MCP, Skills, Modes, and Hooks—detailing their core characteristics, typical use cases, implementation patterns, and best‑practice guidelines while highlighting common misunderstand‑ings and design trade‑offs.
This article provides a thorough, step‑by‑step guide to the built‑in Agents of Oh My OpenCode, explaining each Agent’s specialty, when to use them, decision‑tree selection, real‑world case studies, collaboration patterns, common pitfalls, and practical weekly learning plans for developers.
This tutorial walks through converting scattered UI code and design documents into structured, machine‑readable design tokens and AI‑callable skills, showing how to audit existing HTML/CSS, abstract design tokens, package them as an AI Skill, and maintain the system over time.
In 2026, as AI takes over routine coding, the decisive factor for senior engineers shifts from writing code to mastering communication—defining ambiguous requirements, verifying AI‑generated solutions, and translating business intent into precise technical tasks.
This article explains why AI often mishandles Obsidian’s markdown, introduces the open‑source obsidian‑skills package that equips AI with native markdown control, canvas generation, and database manipulation, and provides step‑by‑step setup, real‑world prompts, and tips for reliable use.
The article explains how Tree of Thoughts (ToT) lets AI explore multiple solution branches, compares it with Chain of Thought (CoT), details its four core components, outlines pros and cons, shows when to use it, and provides concrete templates and examples—including a login‑system design, novel plot branching, and the newer AoT and GoT variants.
This tutorial explains the planning-with-files Claude Code skill, its three‑file architecture, installation steps, activation methods, real‑world use cases such as a 2025 front‑end framework research demo, and advanced tips for recovery, collaboration, and version control, showing how external file persistence transforms AI conversations into durable, multi‑step workflows.
In 2026 AI programming shifts to an agent‑native era where Prompt Engineering evolves into Agent Architecture, and the emerging Skills paradigm—described as programmable semantic firmware—offers deterministic encapsulation, token efficiency through lazy loading, and a framework for knowledge‑as‑asset, enabling multi‑agent meshes and ROI‑driven hot‑cold task separation.
This article walks through common issues when using Vant's van-swipe for a horizontal card list—such as the last card being clipped and the peek effect being hidden—and presents a three‑layer nesting solution with detailed CSS, Vue code, a self‑test checklist, and a reusable skill definition to streamline future development.
