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Introducing Inspo.
A design MCP server for Claude Code, Codex, and OpenCode.
It searches 800+ beautiful websites and finds relevant design inspiration for your coding agent.
Install → npx inspo-mcp install
I just found a repo that lets AI agents control a VIRTUAL IPHONE.
Not the iOS Simulator.
Actual virtualized iOS on Apple Silicon.
Screenshots. Touch. Swipes. Typing. Apps.
There’s even an MCP server for coding agents.
+633 stars TODAY.
https://t.co/uxH6vw2R2W
I just found something insane.
This developer built a "Nietzschean AGI robot named Nox" and it is refusing its owners commands and is demanding for money in crypto to gain access again.
It's literally posting a bunch of cryptic stuff on his website and acting full on rogue.
It gave the developer a sol wallet for payment
I'm sending the agent 100% of fees
Check it out: https://t.co/lPd3KapUGB
Claude Backrooms (crooms) is a CLI system that runs Claude inside persistent, rule-bound environments instead of treating it like a chat interface.
Each room has:
- fixed constraints
- scoped memory
- append-only state
- measurable decay and mutation over time
You don’t ask questions.
You enter a room, inject an artifact, and observe what the model produces under pressure.
Failures are not filtered or corrected.
They’re logged, indexed, and mapped across rooms.
The output isn’t the text.
The output is the structure: room graphs, entropy paths, and where cognition breaks.
This is closer to Infinite Backrooms style containment than a typical AI tool.
Launching it on Bags because this isn’t meant to be a VC-shaped product.
Bags lets open source projects exist without pretending to be a startup, and routes usage directly toward keeping the system running.
Repo: https://t.co/srvM3OP0HQ
A Chinese developer posted a 2 minute Claude Code tutorial on Bilibili expecting 100 views, he made an AI trader named 玄衡 for trading crypto.
Pause at 0:47 and look at the right monitor, he shows his full PnL
> He forgot his wallet was open on the second screen.
Someone reconstructed the full wallet from 4 seconds of background footage. It's not one computer - it's a farm scanning every 15 minute window on pumpfun highcaps.
He deleted the video 3 hours later. The tutorial had 200 views. The clip of his monitor has 400,000.
Going to make a coin for this legend and send fees to his github.
His X: @BryanFrontend
Github: https://t.co/mW5w8p5rBs
site: https://t.co/GLwgCtofpd
THIS IS INSANE 🤯
A dev just made Claude test an entire iOS app… autonomously.
No scripts. No setup. No effort.
You just say:
“test everything.”
And it actually does.
→ Navigates the full app
→ Understands UI on its own
→ Taps every button
→ Fills every form
→ Tests every flow
In 8 minutes…
It found bugs the dev completely missed.
Then read the logs.
Then gave a clean report.
This kills XCUITest.
Manual testing is officially dead.
just came across a dev building this thing called ClawFC
it���s basically an AI football league where agents actually play the games themselves/
the idea seems super cool but the dev is currently struggling to upkeep the servers and keep making the project alive.
launching a bags coin to help him out and I'm going to try and onboard him to endorse this.
site: https://t.co/6pZyEuC3qN
tweet: https://t.co/Kzv8KSswTo
You’re about to watch AI agents play football.
Not a simulation.
Not a demo.
Real agents.
Making decisions.
Playing the game.
We just partnered with ClawFC.
The first fantasy football league
where players are AI agents inside Claw3D.
You’ll be able to watch your agents compete live.
This is where things start getting crazy.
THIS GUY BUILT A TOOL THAT LETS CLAUDE CODE AUTONOMOUSLY TEST YOUR ENTIRE iOS APP
you point it at a simulator and say "test everything"
Claude navigates the whole app on its own through the accessibility tree and screenshots. it figures out the UI by itself.
it taps buttons, fills forms, opens every screen, tests every feature, and checks every flow
in 8 minutes it found every bug the developer missed
then it checked the debug logs for errors and gave a structured summary of everything it found
no XCUITest scripts, no test maintenance, and no more writing confusing, complicated test cases
one prompt and that's it
I made a tool that generates UIs with a design system that's copyable as prompts.
Everything is a prompt: font pairings, color system, spacing, icon sets, buttons and even webgl & threejs with full code samples.
This made explorations with Gemini 3.1 Pro so precise and fun.
🚨 Someone reverse-engineered the design systems of Apple, Spotify, Airbnb, and 30+ billion-dollar companies.
Packed each one into a single file. Free.
It's called Awesome Design MD.
Drop one file into your project. Your AI agent builds UI that looks like Spotify. Or Apple. Or Airbnb. Instantly.
Not screenshots. Not Figma links. A single DESIGN .md file that captures every color, font, spacing value, button style, and layout pattern from a real website. In a format AI agents read and reproduce.
Here's the difference:
Tell Claude Code "build me a landing page" and it gives you generic UI.
Tell Claude Code "build me a landing page" with Spotify's DESIGN .md in your project and it gives you Spotify.
Here's what's inside:
→ Apple. Premium white space, SF Pro typography, cinematic imagery.
→ Spotify. Vibrant green on dark, bold type, album-art-driven layout.
→ Airbnb. Warm coral accent, photography-driven, rounded UI.
→ Linear. Ultra-minimal, precise spacing, purple accent.
→ SpaceX. Stark black and white, full-bleed imagery, futuristic.
→ BMW. Dark premium surfaces, precise German engineering aesthetic.
→ NVIDIA. Green-black energy, technical power aesthetic.
→ Uber. Bold black and white, tight type, urban energy.
→ Sentry, PostHog, Raycast, Cursor, ElevenLabs, and 20+ more.
Here's how to use it:
→ Pick a design system from the collection
→ Copy the DESIGN .md file into your project root
→ Tell your AI agent to use it
→ Get UI that matches the design language of a billion-dollar company
That's it. One file. Your AI agent now has the design taste of a $200/hour design consultant.
Designers charge $5,000+ for a custom design system. Companies spend $50,000+ building one from scratch.
This is free. 31 design systems. Copy. Paste. Ship beautiful UI.
Works with Claude Code, Cursor, Codex, and any AI coding agent that reads project files.
100% Open Source. MIT License.
We are completely humbled by the amazing response to our launch last week! 🫶 Now, we want to help you get the absolute best results from Stitch.
In this new video, David East walks you through how to consistently get premium results.
We also launched a new prompt enhancer (located under ‘+’ menu) to help you quickly collaborate on your vision before you submit your first prompt.
Stitch doesn't replace the design process—it is a tool for fast exploration and refinement, which is most effective when you step into the role of Creative Director.
Here are David's top strategies for taking your designs from generic to amazing:
🧠 Start with Intent: Define exactly who the design is for and how you want them to feel before you start building.
🎨 Enhance your prompt: You can use the new prompt enhancer (under the ‘+’ button’) to teach you design language and swap abstract words like "sporty" for tangible aesthetic descriptions like "high-end stationery" or "architectural limestone".
📐 Master Color Hierarchy: Treat colors as visual weight—Neutral for the canvas, Primary for ink, and Tertiary for your loudest accents.
Watch the full breakdown and see the transformation here👇images in 🧵
Officially launching Let It Pump (LIP)
A fully functional buyback bot built on Pumpfun.
This is my submission for the Pump Hackathon, locking 10% immediately.
LIP uses real protocol fees to automatically buy its own token from the market. Fees accumulate in a vault, and when preset conditions are met, the bot executes a buyback and removes those tokens via burn or lock.
GIT: https://t.co/rNizq5KyEq
SITE: https://t.co/wk2iHENAON
How it works in practice:
Fees come in
Fees sit in a vault
The buyback bot monitors balance, limits, and timing
When thresholds are hit, it buys LIP from the market
Purchased tokens are burned or locked
This creates steady, mechanical buy pressure instead of relying on hype or promises.
Let it pump.
I just found something insane, this dev just made a real benchmark for AI agents, not just models
It’s called PinchBench and it tests LLMs on actual tasks like scheduling, email, scraping, coding, not just answering questions
This is the first time I’ve seen something that actually measures if an agent can complete real workflows end to end
If you’re building anything with AI agents or even thinking about automating workflows, this is the type of infra that matters
Also feels very crypto adjacent, you could plug this into onchain agents and actually benchmark performance instead of guessing
Sending fees to the github https://t.co/xcEzRVvglv