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Rams just passed 50,000 Skill downloads. Now it runs on every PR. Rams is automated design review for teams shipping UI without a designer. Native GitHub integration, inline fixes, 100+ rules on typography, spacing, a11y, and AI slop. Opinionated. Automatic. Installs in 60 seconds.

Eli Rousso

16,044 subscribers

26,092 次观看 • 4 个月前 •via X (Twitter)

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Turn any website into an AI-readable design system. Here's how: Google recently introduced the DESIGN.md specification: a file that helps AI agents understand a product’s design system. So we built a free tool for designers. Paste any website URL and Masumi’s DESIGN.md Generator extracts the brand’s colors, typography, components, spacing, and visual rules into an editable DESIGN.md file. Your designer can review it, tweak it, and hand it to Claude Code, Cursor, Codex, or any AI coding agent so the generated UI stays on-brand. Links below

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You can now clone any website design in seconds with AI. Just grab any live UI with the new MagicPath Extension and the AI will instantly create a working clone you can build on top of. I literally just recreated Claude’s UI with it. This is Figma completely redesigned.

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AI Frontliner

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🚀 Just launched: The GitHub Models repo integration is in public preview. ✨ Now you can: ➡️ Version, review, and collaborate on .prompt.yml files just like code. ➡️ Compare outputs side-by-side from 40+ leading LLMs. ➡️ Easily set up with a single API key for FREE. ➡️ Benefit from enterprise-ready governance and security on GitHub and Azure. Ready to start building efficiently with AI models? Get started. 👇

🚀 Just launched: The GitHub Models repo integration is in public preview. ✨ Now you can: ➡️ Version, review, and collaborate on .prompt.yml files just like code. ➡️ Compare outputs side-by-side from 40+ leading LLMs. ➡️ Easily set up with a single API key for FREE. ➡️ Benefit from enterprise-ready governance and security on GitHub and Azure. Ready to start building efficiently with AI models? Get started. 👇

GitHub

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Qodo

632,227 次观看 • 1 个月前

$HERMES AGENT NOW HAS AUTOMATION TEMPLATES. COPY-PASTE RECIPES FOR CRON JOBS AND WEBHOOKS. ANY MODEL. ANY DELIVERY PLATFORM. three trigger types: SCHEDULE → runs on a cadence (hourly, nightly, weekly) GITHUB EVENT → fires on PR opens, pushes, issues, CI results API CALL → any external service POSTs JSON to your endpoint all three deliver to Telegram, Discord, Slack, SMS, email, GitHub comments, or local files.Nous Research what templates ship right now: DEVELOPMENT: → nightly backlog triage (label + prioritize new issues) → automatic PR code review (posts review on every PR) → docs drift detection (finds code changes without doc updates) → dependency security audit (daily CVE scan, CVSS >= 7.0) DEVOPS: → deploy verification (smoke tests after every deploy) → alert triage (correlates alerts with recent changes) → uptime monitor (check endpoints every 30 min, notify only when something is down) RESEARCH: → competitive repo scout (monitor competitor PRs daily) → weekly AI news digest (headlines, papers, repos, industry) → daily arXiv scan (saves summaries to your notes) the webhook system is the part most people miss: hermes webhook subscribe github-pr-review \ --events "pull_request" \ --prompt "Review this PR for security, performance, and code quality." \ --skills "github-code-review" \ --deliver github_comment one command. every future PR gets reviewed automatically. the review posts as a comment directly on the PR. two cost-saving details from the docs: 1. use [SILENT] in prompts. "if nothing changed, respond with [SILENT]" prevents notification noise on monitoring jobs. 2. use script-only cron jobs for data collection. a Python script handles HTTP requests and file reads. the agent only sees stdout and applies reasoning. cheaper and more reliable than having the agent fetch. every template is copy-paste ready. every template works with any model. docs: full Hermes agent SOUL MD guide in the article 👇$

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Y Combinator

113,270 次观看 • 11 天前

Claude Code Templates just hit 100+ Skills on Installing is easy - one click to copy the install command, paste it in your project's .claude folder, done. - 67K npm installs - 13K+ GitHub stars - fully open source Thanks to the community for contributing Skills and components. In the video I show how to add a Data Privacy Compliance Skill to your project.

Claude Code Templates just hit 100+ Skills on Installing is easy - one click to copy the install command, paste it in your project's .claude folder, done. - 67K npm installs - 13K+ GitHub stars - fully open source Thanks to the community for contributing Skills and components. In the video I show how to add a Data Privacy Compliance Skill to your project.

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164,637 次观看 • 8 个月前

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Y Combinator

77,233 次观看 • 10 个月前

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Paul Bakaus

102,723 次观看 • 2 个月前

Claude Code on desktop just added an embedded loop that can run your dev server, view the app, review local changes, and watch pull requests until they merge. It can now preview a running app inside the desktop UI while it iterates on fixes. It can also monitor CI for an open PR and either fix failures or merge when checks go green. Earlier “agentic coding” workflows usually bounced between a terminal, a browser, and GitHub, so the model could not directly see what the app rendered or stay attached to CI results without manual babysitting. The new server preview flow starts and stops dev servers from a Preview control, shows the app in an embedded browser, reads logs, and can interact with the page to verify changes. That closes a common gap where a model edits code but cannot reliably confirm the UI and runtime behavior match the intent. The local “Review code” step runs before pushing, and it leaves inline comments on the diff so basic bugs and risky changes get caught earlier. For PR monitoring, the desktop app will track status and CI checks, and it can use auto-fix to attempt repairs and auto-merge to land the PR once checks pass, using GitHub tooling under the hood. Session mobility adds a /desktop command to move a CLI session into the desktop app, and sessions can be pushed to the cloud to resume from web or phone.

Claude Code on desktop just added an embedded loop that can run your dev server, view the app, review local changes, and watch pull requests until they merge. It can now preview a running app inside the desktop UI while it iterates on fixes. It can also monitor CI for an open PR and either fix failures or merge when checks go green. Earlier “agentic coding” workflows usually bounced between a terminal, a browser, and GitHub, so the model could not directly see what the app rendered or stay attached to CI results without manual babysitting. The new server preview flow starts and stops dev servers from a Preview control, shows the app in an embedded browser, reads logs, and can interact with the page to verify changes. That closes a common gap where a model edits code but cannot reliably confirm the UI and runtime behavior match the intent. The local “Review code” step runs before pushing, and it leaves inline comments on the diff so basic bugs and risky changes get caught earlier. For PR monitoring, the desktop app will track status and CI checks, and it can use auto-fix to attempt repairs and auto-merge to land the PR once checks pass, using GitHub tooling under the hood. Session mobility adds a /desktop command to move a CLI session into the desktop app, and sessions can be pushed to the cloud to resume from web or phone.

Rohan Paul

33,431 次观看 • 5 个月前

THIS MIT STUDENT IS BUILDING A FULL GAME WITH ANTI-GRAVITY AI EDITOR - ASSETS, TEXTURES, ICONS AND OBJECTS ALL GENERATED ON THE FLY Anti-Gravity - Google's fork of VS Code, previously Windsurf - open on screen generating every game asset in real time as he builds icons, textures, menus, phone UI representations, objects including a horse - all generated on the fly without leaving the editor, without opening Photoshop, without hiring a designer he built this with friends and every asset they need appears the moment they describe it - no asset store, no stock libraries, no waiting for a designer to finish the game might ship on Steam daily streaks, leaderboards, premium upgrades - the same loop that turns any browser game into $21,000/month in subscriptions an MIT student building a Steam game with friends using a free AI editor that generates everything on demand - the barrier to shipping is now just having an idea

THIS MIT STUDENT IS BUILDING A FULL GAME WITH ANTI-GRAVITY AI EDITOR - ASSETS, TEXTURES, ICONS AND OBJECTS ALL GENERATED ON THE FLY Anti-Gravity - Google's fork of VS Code, previously Windsurf - open on screen generating every game asset in real time as he builds icons, textures, menus, phone UI representations, objects including a horse - all generated on the fly without leaving the editor, without opening Photoshop, without hiring a designer he built this with friends and every asset they need appears the moment they describe it - no asset store, no stock libraries, no waiting for a designer to finish the game might ship on Steam daily streaks, leaderboards, premium upgrades - the same loop that turns any browser game into $21,000/month in subscriptions an MIT student building a Steam game with friends using a free AI editor that generates everything on demand - the barrier to shipping is now just having an idea

Cortex

14,007 次观看 • 2 个月前

Introducing 1st full-stack AI Designer An AI agent that can plan, generate graphic assets, Video animation, production UI code all with full context Design like this could easily cost $5~$10k just 1 year ago, but now is possible to deliver in 10 min without any design skills Learnt from Kyle Skelly and I just can't resist to build it in SuperDesign.Dev, very satisfying to have image/video/code gen all in one place with consistent context You can try this on today

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Jason Zhou

32,121 次观看 • 8 个月前

Are you kidding me? This is the best website design experience I've had in a long, long time. Shopify just won my heart with this new Winter Edition web design! Seriously, the bar for good design is so high right now. With all the AI slop out there, the only word-of-mouth you can rely on is having great design taste and building a cult around it. Just take Prime Intellect - ultimate design taste. Why wouldn't I send this to my friends or post it online organically? The moat is good design, folks - it's so important with all the AI slop we're seeing today. tobi lutke please give your design team a big big raise!

Are you kidding me? This is the best website design experience I've had in a long, long time. Shopify just won my heart with this new Winter Edition web design! Seriously, the bar for good design is so high right now. With all the AI slop out there, the only word-of-mouth you can rely on is having great design taste and building a cult around it. Just take Prime Intellect - ultimate design taste. Why wouldn't I send this to my friends or post it online organically? The moat is good design, folks - it's so important with all the AI slop we're seeing today. tobi lutke please give your design team a big big raise!

Archie Sengupta

250,463 次观看 • 7 个月前

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Om Patel

401,101 次观看 • 4 个月前

There is a new self-hosted personal AI-Agent platform called PocketPaw. 100% open source. 'pip install pocketpaw' and in less than 60 seconds you own an AI agent. It connects to WhatsApp, Slack, Discord, and a local Web Dashboard. Capable of browsing the web, managing Gmail/Calendar, and executing code. Runs entirely on your machine using local Ollama models or Claude/OpenAI. Includes "Guardian AI" to review shell commands for security + 6 layers of defence. Watch the demo 👇

There is a new self-hosted personal AI-Agent platform called PocketPaw. 100% open source. 'pip install pocketpaw' and in less than 60 seconds you own an AI agent. It connects to WhatsApp, Slack, Discord, and a local Web Dashboard. Capable of browsing the web, managing Gmail/Calendar, and executing code. Runs entirely on your machine using local Ollama models or Claude/OpenAI. Includes "Guardian AI" to review shell commands for security + 6 layers of defence. Watch the demo 👇

AshutoshShrivastava

24,585 次观看 • 6 个月前

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

Nick Babich

53,581 次观看 • 6 个月前

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon

Joey Primiani

471,049 次观看 • 2 个月前