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Why Figma MCP Isn’t Enough Why Figma MCP Alone Can’t Guarantee Production-Ready UI — and What Product Teams Must Do Instead Extraordinary results require an extraordinary team. I’m surrounded by people who treat design and development like a mission. They are warriors in the tech trenches, and this win belongs to them. No fluff. No filler. Just the facts on how we shattered our veloci
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
Contè UI - A Dynamic CSS System for Advanced Styling. When CSS Frameworks Become Limiting — Meet Conté UI Traditional frameworks often lock you into predefined scales. Conté UI breaks these limits with a breakthrough approach to building modern UIs with fully dynamic values and intuitive class conventions. Faster, lighter, and more flexible than traditional frameworks. Released: May 1, 2026 https
If you spent any time on React Twitter or LinkedIn lately, you saw three names everywhere: shadcn/ui, Radix, and Base UI. People talk about them like they compete with each other, but they don't really. Let me explain what each one actually is, and when you should reach for which. Before we compare anything, you need this idea. A normal UI library like Bootstrap or Material UI gives you components
Strong image models can already produce polished game UI screenshots. The harder question is whether those screenshots are useful as production evidence. I tested six common game-screen cases two ways: a direct prompt baseline a controlled workflow using a screen brief, layout contract, style contract, IP/lookalike gate, locked prompt, review score, revision prompt, and implementation notes The si
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about