Google Stitch in Practice: From Product Requirement to Frontend Prototype Central question this article answers: Is Google Stitch merely a tool that generates interface mockups, or can it actually accelerate the journey from a product idea to a working frontend prototype? I built a real AI SaaS landing page using Google Stitch to find out. My goal wasn’t to see how visually impressive the output could be, but to test whether it could transform a concrete product requirement into something substantial enough to discuss, iterate on, and potentially hand off to frontend development. This article follows my actual workflow: how …
Goodbye innerHTML, Hello setHTML: Firefox 148’s Sanitizer API Bolsters XSS Protection for the Web In the realm of web security, cross-site scripting (XSS) has long been an intractable challenge. It not only endangers the data security of billions of users but also forces developers to invest enormous effort in protection measures. The release of Firefox 148 has brought a pivotal breakthrough to this predicament – the world’s first browser to ship the standardized Sanitizer API is now officially available, offering web developers a simpler and more reliable solution for XSS protection. This article starts with the inherent risks of XSS, …
How We Rebuilt Next.js with AI in One Week: The vinext Story The Core Question: In an era of rapidly advancing AI, is it possible to reconstruct a massive frontend framework like Next.js from scratch in just a few days? The answer is a resounding yes. By leveraging a strict test suite, clear architectural planning, and state-of-the-art AI models, a single engineer built vinext in under a week—a Vite-based, high-performance alternative to Next.js. Last week, one engineer and an AI model rebuilt the most popular front-end framework from scratch. The result is vinext (pronounced “vee-next”), a drop-in replacement for Next.js. …
Figma MCP vs MasterGo D2C Pro vs MasterGo Magic MCP: A Real-World Design-to-Code Comparison Most engineering teams face the same frustrating cycle: designers deliver polished mockups, developers spend hours writing UI code from scratch, and something always gets lost in translation. Design-to-code (D2C) tools promise to close that gap — but the real-world differences between approaches are far larger than most teams realize before they’ve already committed to one. This article breaks down three leading D2C solutions — Figma MCP, MasterGo D2C Pro, and MasterGo Magic MCP — based on hands-on usage. It covers their actual capability boundaries, where each …
Agent Skills: Transforming Best Practice Playbooks into Reusable Capabilities for AI Coding Agents Core Question: How can we systematize industry best practices so that AI coding agents can understand, apply, and scale them effortlessly? The evolution of software development is being accelerated by AI coding agents, but a persistent challenge remains: how do we ensure these agents write code that adheres to the high standards set by years of engineering experience? Vercel has released agent-skills, a collection of capabilities that transforms best practice playbooks into reusable skills for AI coding agents. This project implements the open Agent Skills specification, focusing …
A2UI: A Next-Generation Declarative UI Framework for AI Agents Abstract A2UI is an open-source project enabling AI agents to generate secure, cross-platform UI interfaces through JSON declarations. This blog post explores its core principles, architecture, practical use cases, and step-by-step implementation guide, tailored for developers aiming to build intelligent interactive systems. What is A2UI? 1. Definition & Core Features A2UI (Agent-to-User Interface) is a protocol and library suite designed to address the challenge of creating dynamic, interoperable UI responses from AI agents. It represents UI structures as declarative JSON, which client applications render natively (e.g., Flutter, React). Key advantages include: …
Snippet (50–80 words) To produce high-quality UI with Gemini 3, focus on control rather than AI improvisation. Use screenshots to define structure, negative instructions to restrict changes, iterative refinement for style, segmented generation for consistency, and explicit library names to ensure predictable output. Spend the most time on the Hero section because it sets the tone and determines the speed and accuracy of all subsequent iterations. How to Make Gemini 3 Produce UI That Truly Feels Premium When you ask Gemini 3 to generate UI, one pattern becomes obvious: the first output is always the “safe” option — clean, generic, …
Browser Echo: Stream Browser Logs to Your Terminal in Real-Time, an AI Pair Programmer’s Ally Tired of constantly switching between browser consoles and your code editor? Browser Echo revolutionizes frontend debugging by streaming browser logs directly to your development terminal – especially powerful when paired with AI coding assistants. Browser Echo Why Browser Echo Matters in Modern Development Frontend developers constantly use console.log() statements for debugging, but traditional approaches have three core frustrations: Context-switching fatigue: Constantly toggling between browser consoles and code editors AI assistant limitations: Tools like Copilot and Claude can’t access browser console data Complex debugging challenges: Source …
Unveiling the Power: How Python Programs Dance in Your Browser with WebAssembly and Pyodide In the relentless tide of digital transformation, web technologies continue to advance at an astonishing pace. For a long time, when we discussed web applications, our minds typically conjured up a world built with HTML, CSS, and JavaScript. Python, a towering figure in data science and backend development, largely remained behind the server curtains. However, with the emergence of a revolutionary technology known as WebAssembly (often abbreviated as WASM), this traditional landscape is undergoing a quiet yet profound transformation. It now enables Python code to execute …