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Shareable instruction files for Cursor, Claude Code, Copilot, Windsurf, and more — installed alongside your existing agent rules.
> shadcn/ui is a collection of beautifully-designed, accessible components and a code distribution platform. It is built with TypeScript, Tailwind CSS, and Radix UI primitives. It supports multiple frameworks including Next.js, Vite, Remix, Astro, and more. Open Source. Open Code. AI-Ready. It also comes with a command-line tool to install and manage components and a registry system to publish and distribute code.
1. **Develop on macOS**: Edit code, test framework components 2. **Deploy to Pi**: Transfer via SSH/SCP for hardware testing 3. **Test on Pi**: Run full applications on actual hardware 4. **Iterate**: Make changes on macOS, redeploy to Pi
Vesta is an AI-powered content transformation application that helps you convert content from one format to another using your own examples. It leverages few-shot learning to adapt to your unique style, enabling seamless conversions between formats like Jupyter Notebooks, blogs, tweet threads, and LinkedIn posts.
// ❌ NEVER use dangerouslySetInnerHTML with user input <div dangerouslySetInnerHTML={{ __html: userInput }} /> // ✅ Use textContent for plain text <div>{userInput}</div> // ✅ Sanitize HTML if needed import DOMPurify from 'dompurify';
This chapter teaches domain-specific prompting - embedding industry knowledge, terminology, and workflows into prompts. Students learn to create expert personas and build specialized AI systems for specific domains.
During your interaction with the user, if you find anything reusable in this project (e.g. version of a library, model name), especially about a fix to a mistake you made or a correction you received, you should take note in the `Lessons` section in the `.cursorrules` file so you will not make the same mistake again.
datasets (proc results) that contain aggregated data that may have stale data or other warnings will contain an exceptionid column with a fk to a exception table with a message and a json structured detail field which will be the parameters for a reprocessing job and queue based on dependencies. data driven.