Wonder 3D generative AI model launches - Autodesk News
Wonder 3D generative AI model launches Autodesk News
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Cursor AI Review 2026: The Code Editor That Thinks Alongside You
I don't review tools from screenshots and feature pages. I used Cursor as my only code editor for 30 days -- no fallback to VS Code, no safety net. Built three real projects with it: a Next.js SaaS dashboard, a Python data pipeline, and a Chrome extension. Here's what actually happened. What Cursor Actually Is OK so Cursor is a code editor built on top of VS Code. But that undersells it pretty badly. Every extension you use in VS Code works in Cursor. Your keybindings carry over. Your theme carries over. It looks and feels like VS Code because it is VS Code -- with an AI layer woven into every interaction you have with it. The distinction that matters: Cursor isn't an AI plugin bolted onto an editor. It's an editor rebuilt around AI. GitHub Copilot adds autocomplete suggestions to VS Code.
The Mandate Had No Return Address
The first time I opened Cursor, I used it for ten minutes and shut it down. It felt foreign. The suggestions arrived faster than I could evaluate them. The workflow I'd built over fifteen years wanted no part of it. I closed the laptop, told myself I'd come back when things were less busy, and didn't think much more about it. I recognized the feeling later. Fear of change, dressed up as productivity skepticism. I'd seen it in junior engineers resisting new frameworks. I'd seen it in tech leads protecting workflows that had stopped scaling. I hadn't expected to see it in myself. That moment stayed with me when I started thinking about how to introduce AI to my team at Converse. Because I knew something the people who send mandate emails don't know about themselves: the resistance engineers
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CortexUI is an AI-native interface system that turns UI into a contract for intelligent agents. You can explore the source on GitHub and browse the docs and demos at cortexui.llcortex.ai . If you want AI to operate a UI reliably, you have to stop making it guess. That is the shortest possible explanation of CortexUI. The longer explanation is more interesting. Most web automation today works by inference. The system looks at the DOM, searches for a likely button, reads labels, tracks layout, maybe uses screenshots, and tries to decide what to do next. It works until the interface changes. Then the guessing starts to fall apart. CortexUI fixes that by giving the UI its own explicit machine-readable layer. Here is the simplest example: data-ai-id= "save-profile" data-ai-role= "action" data-a
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