HeyGen Open-Sources Hyperframes Video Framework for AI Agents

HeyGen just dropped HyperFrames, an open-source framework that renders full videos straight from raw HTML. It's built for your AI agents to code directly, bypassing the prompt-engineering casino completely. Link: https://lnkd.in/eNJcP6fr

Someone already open sourced Claude Design. The official one dropped two weeks ago, requires a Claude subscription and runs on Anthropic's models. nexu-io shipped an open version. Same artifact-first loop, runs locally, BYOK, plugs into whichever coding CLI you're already using (Claude Code, Codex, Cursor, Gemini, Copilot). Already messing with it. Tested with GPT-5.5 via Codex on a ChatGPT sub and honestly it just works. Setup note: subscription auth through the CLI is supported, but for Claude specifically I'd stick to API keys. Anthropic has been signaling pretty clearly that subscriptions aren't meant for third-party tooling, and I'd rather not push it. What's in the box: 19 Skills, 71 design systems (Linear, Stripe, Vercel, Apple, Notion, Figma, Cursor and more), 5 deterministic visual directions, anti-AI-slop machinery baked into the prompt stack, Apache 2.0. Repo: https://lnkd.in/d8sT5zx3

Video built entirely by prompting. Built this reel with Claude + Remotion (Video by "talking to" Claude) https://lnkd.in/eiBQM-QP Frames stripped from the original, MCP tool wired up, Claude rebuilt the whole video. The video you're watching is the output of a fully agentic video pipeline. A Python script stripped every image asset from the original MGEN Showcase render. Then I built an MCP tool that let Claude talk to Remotion directly — not through code suggestions, not through screenshots, but actually controlling scene composition, timing, motion, and layout. I asked Claude to strip the Grinch character out of every scene and rebuild the reel programmatically from the extracted assets. What you're watching is that rebuild — 19 student cards, no Grinch, generated end to end by Claude driving Remotion through MCP. What's inside the reel: 19 Northeastern MGEN and ISE students — their projects, stats, and one-liners. Same roster as the main MGEN Showcase. Different production path. If you want to try this yourself, the code is on GitHub and set up as a starter. Requires Node 18+ and works best with Claude Code. The repo includes a CLAUDE.md file that gives Claude the workspace rules — so you can open the folder, say "Read CLAUDE.md and help me add a scene for [Name]," and be off. Swap the scenes, adapt the brand file, render your own. https://lnkd.in/ecYbDfnZ Quick start: npm install npm start That opens Remotion Studio at localhost:3000. Render one scene: npx remotion render Scene01Naimisha out/scene-01.mp4 Render the full reel: npx remotion render MGENFullReel out/full-reel.mp4 Add a scene: drop Scene-NN-Firstname.tsx into src/compositions, register it in src/Root.tsx, and it appears in the studio on save. Repo: https://lnkd.in/ecYbDfnZ Remotion: https://remotion.dev Claude Code: https://claude.ai/code Node.js: https://nodejs.org The argument underneath the demo: if an LLM can drive a video renderer through a tool protocol, the bottleneck stops being the edit. It becomes the brief. #ClaudeCode #Remotion #MCP #AIVideo #NortheasternMGEN

🚀 Can you build a static website in just 2 hours? Yes — with the power of GitHub Copilot 💡 In today’s fast-paced development world, speed matters. With AI tools like Copilot integrated into Visual Studio Code, building a clean and responsive static website is no longer a time-consuming task. ⚡ Here’s how you can do it: 🔹 0–20 mins → Setup project (HTML, CSS, JS) 🔹 20–60 mins → Generate UI using smart prompts 🔹 60–90 mins → Apply styling & responsiveness 🔹 90–120 mins → Polish & deploy 💡 What Copilot actually does: ✔ Generates full HTML sections ✔ Suggests modern CSS instantly ✔ Writes JavaScript for interactivity ✔ Helps debug faster 🌐 Deploy your site easily using: 👉 GitHub Pages 👉 Netlify ⚠️ Reality check: This works best for: ✔ Portfolio websites ✔ Landing pages ✔ Simple business sites Not ideal for complex backend systems or large-scale apps. 🔥 Pro Tip: Don’t overthink — just write clear comments like: “Create a modern responsive portfolio website” …and let Copilot do the heavy lifting. ✨ Final Thought: AI won’t replace developers — but developers using AI will move 10x faster. #WebDevelopment #GitHubCopilot #AI #Frontend #Coding #Developers #Tech #Productivity #100DaysOfCode #HTML5 #Json

BREAKING: HeyGen just open-sourced the video framework the entire AI agent ecosystem has been missing. It's called Hyperframes. HTML in. MP4 out. Built from day one for agents. Every other video creation framework has the same problem. They were built for humans with mouse cursors. AI agents can't drag a clip. Can't scrub a timeline. Can't click a keyframe. But they can write HTML. So Hyperframes uses HTML as the entire composition format. Data attributes define timing. Elements define layers. The browser renders it. FFmpeg encodes it. Fully deterministic same HTML produces identical MP4 output every single time. The agent skills are what make this production-ready. Hyperframes ships skills for Claude Code, Cursor, Gemini CLI, and Codex that encode framework-specific patterns how to structure compositions, write captions, sequence GSAP animations correctly. Not generic HTML docs. Not Stack Overflow answers. Actual Hyperframes patterns that work. Install automatically on project init: npx hyperframes init my-video Then your agent knows how to use it before writing a single line. Full package breakdown: → CLI: create, preview, lint, render → Core: types, parsers, linter, frame adapters → Engine: Puppeteer capture + FFmpeg encode → Producer: full pipeline with audio mixing → Studio: browser-based editor UI Built by HeyGen. 100% Open Source. Apache 2.0 License. Repo Link In Comments

"Make the heading bigger." 5 words. 12 messages to Claude before it touches the right element. That was my workflow every single day. "It's the h1 in the hero section." "No, the one in components/Hero.tsx." "It uses Tailwind, the class is text-3xl I think." "Actually it might be in pages/index.tsx." I was spending more time describing UI elements than actually designing them. So I built Design Mode. Point at your UI. Click. Type what you want. Claude changes the code. That's it. No more playing "guess which DOM element I mean." Here's how it works: → Hover any element to see its box model (margin, padding, border — all color-coded) → Click to annotate — just type plain English like "make this bigger" or "add more spacing" → Claude automatically reads your annotations and edits the source file → It detects your stack (Tailwind, CSS Modules, styled-components) and edits accordingly → One click to test responsive — mobile, tablet, desktop The killer feature? Every message you send to Claude silently checks for new annotations in the background. You don't even have to say "read my annotations." You just... annotate and talk. It feels invisible. It works with React, Vue, Svelte — anything with a dev server. Open source. MIT licensed. Two ways to use it: 🔌 Claude Code plugin: /plugin install design-mode ⚡ Standalone MCP: works with Claude Desktop, Cursor, Windsurf The gap between "what I see" and "what I can tell the AI" was the bottleneck. Design Mode closes it. Link in comments 👇 What's the most time you've wasted trying to describe a UI element to an AI? #ClaudeCode #DeveloperTools #AI #WebDevelopment #OpenSource

Bug And Impact The new static-site fast path could overwrite an existing tiny website. A workspace with index.html and styles.css was treated as “near-empty,” so a prompt like “Update my simple website landing page” could trigger deterministic template materialization before normal update detection, replacing existing files. Root Cause workspaceNeedsDeterministicScaffold() allowed up to two meaningful files, and resolveDeterministicScaffoldOnlyFlag() did not check whether the selected template would collide with existing output paths. Fix Added getExistingTemplateOutputCollisions() in src/main/agent/scaffold-resolver.ts and blocked implicit deterministic scaffolds when template output files already exist. Applied the guard to: resolveDeterministicScaffoldOnlyFlag() deterministic bootstrap in src/main/agent/specialized-agents.ts fallback scaffold path in src/main/agent/specialized-agent-loop.ts Added a regression test covering an existing index.html + styles.css static site. Validation passed: ReadLints: no linter errors on edited files npm test -- --runInBand tests/scaffold-deterministic-flag.test.ts tests/specialized-agents-bootstrap.test.ts: 12 passed I left the pre-existing data/project-registry.json modification untouched. https://lnkd.in/eMvGH6_5

Cursor 3 just dropped and it's not an update. They've rebuilt the entire thing from scratch. The old Cursor had become clunky. Full of questionable design choices. It was starting to feel like a vibe coded slot machine where you'd pull the lever and hope for decent output. I'd mostly moved away from it. But Cursor 3 is a completely different application. The fundamental shift is that it's no longer built around files. It's built around agents. The UI is stripped back. Projects and chats sit in the sidebar. You can have multiple projects open with different agents running simultaneously. There's a new design mode (Shift+Command+D) that lets you visually select elements and draw on screen, sending screenshots directly to the model. Here's what's interesting though. If you look at Cursor 3 next to OpenAI's Codex app and T3 Code (Theo's new editor), they all look remarkably similar. The entire industry is converging on the same agent-first UI pattern at exactly the same time. I've actually been preferring T3 Code lately because its free, open source, and works with my existing Claude and Codex subscriptions rather than requiring another monthly payment. But the bigger picture matters more than which tool wins. We're watching a spectrum of control emerge in real time. On one end you've got VS Code where you have full manual control. Then Copilot gives you inline suggestions. Cursor puts agents right in front of you. And at the far end, pure agent mode where you never even look at code. There's a genuine tension here that nobody's resolved yet. The further you move toward agent-first workflows, the less aware you are of what's actually happening in your codebase. You gain speed but lose visibility. Claude Code in the terminal still feels more transparent to me. You can see exactly which lines are changing and why. With these new agent-first editors, you're trusting more and verifying less. The question isn't which tool is best. It's how much control are you willing to give up, and what are you getting in return. Read more: https://lnkd.in/esc-EFsq

Sharing a small tool that I built because I needed it and you might need it too. In the era of agentic development, everything is a Markdown file—AI plans, instructions, skills, and workflows are everywhere. Chrome still displays them as raw text, and downloading them from Slack or GSuite just to read them is a total flow-killer. So I built MarkUp. It’s a Chrome Extension that renders .md files beautifully, right in the browser. The Essentials: * Smart Rendering: Intercepts web downloads and renders local .md files instantly. * Full Features: Themes, TOC, search, and syntax highlighting built-in, and many more. * Clean: Zero data collection. No dependencies. Pure vanilla JS. The project is fully open source and easy to set up. Checkout here: https://lnkd.in/gz_ayzpM #AI #AgenticWorkflows #DeveloperTools #JavaScript

Turn any codebase into an interactive single-page HTML course! Ever vibe-coded something amazing with AI but still have no clue how the code actually works? This tool fixes that instantly. Codebase-to-Course is a Claude Code skill that takes any codebase and automatically turns it into a beautiful, interactive, single-page HTML course. It analyzes your real code and creates scroll-based modules with progress tracking, side-by-side plain English explanations, animated visualizations of data flow and architecture, interactive quizzes, glossary tooltips, and a warm, human-friendly design, all in one self-contained offline HTML file. Core value: Perfect for vibe coders who learn by doing. Instead of reading dry documentation, you get an engaging, visual learning experience built directly from your actual codebase. Key highlights:   • Uses your real unmodified codebase for authentic learning   • Shows execution flow step by step with clear visuals   • Includes interactive quizzes focused on practical understanding   • Keyboard navigation and progress tracking   • Context-specific metaphors and explanations   • No dependencies, just open the HTML file and start learning  Setup is super simple:   Copy the skill into your ~/.claude/skills folder, open your project in Claude Code, and say something like “Turn this codebase into a course”. https://lnkd.in/eQP8xNU4 #ClaudeCode #AICoding #VibeCoding #InteractiveLearning #CodeEducation #AgenticAI #DevTools #Anthropic #AItools