MANUALLY DRAGGING BOXES FOR ARCHITECTURE DIAGRAMS IS FINALLY DEAD
There is a new open-source agent skill that turns raw codebases into cleanly routed https://t.co/f9zjBxfJLp diagrams without you placing a single coordinate.
The project, drawio-skill, runs directly inside Claude Code, Cursor, or Copilot.
Instead of opening a blank canvas, you just ask your agent to map the repo.
Here is what it actually does:
→ Extracts the module structure (supports Python, JS/TS, Go, Rust)
→ Uses Graphviz for auto-layout and routing
→ Drops redundant edges so the graph stays readable
→ Builds native, editable https://t.co/f9zjBxfJLp files
But the standout feature is visual self-checking.
Once it generates the diagram, the agent "looks" at the resulting PNG. If it sees stacked edges or clipped text, it auto-fixes the layout across up to 5 iterative rounds.
It runs from a single file. No MCP server. No background daemon.
Best part?
It's 100% free and open-source.
repo link in 🧵↓
@DropPayXRP is here to bridge AI and $XRP payments.
Set a price. Get paid in seconds. Let agents access your service automatically.
The future of machine-to-machine commerce is here. Read more here: https://t.co/c3GXmzKATn
@Ripple@RippleXDev@XRPLF
🚨 THIS GUY LITERALLY OPEN-SOURCED EVERY HIDDEN STEP THAT TURNS A MODEL INTO CHATGPT
If you’re tired of black-box APIs and bloated transformer imports, this open-source repo takes you from raw data to a working model.
It builds a transformer from scratch in PyTorch, following the “Attention Is All You Need” design.
4 tight phases govern the AI lifecycle:
> download and chunk The Pile into highly efficient batches
> train custom attention heads with automatic checkpointing
> align output formatting without relying on trl or peft
> chat with your final creation via an interactive local UI
The ecosystem covers everything from basic generation to advanced instruction tuning.
Plus, the included hardware table ensures a smooth run, whether you use a tiny 13M Colab instance or push 8B parameters on an RTX 5090.
Best part?
It’s 100% free and open-source.
repo link in 🧵↓
BREAKING: agents are taking over app dev
Claude Code, OpenClaw, Codex, and Hermes can now design, build, and publish through the Anything CLI
with no human in the loop
Boris Cherny (Claude Code's creator): "I don't prompt anymore. I write loops, and the loops prompt Claude."
In 30 minutes, Boris shows his real daily Claude Code setup
Claude + loops + routines + dynamic workflow
Worth more than a $500 vibe-coding course
8 powerful Claude prompt frameworks 🧠⚡
Better prompts aren't about writing more. They're about thinking more clearly.
Use these frameworks: • ROLE → Define the expert • CONTEXT →
Provide background • BRIDGE → Build step-by-step • FOCUS → Eliminate noise •
Anthropic engineer:
“Every Claude eventually gets too much to hold in one head. Break the work into pieces early, or redo the whole thing later”
In 45 minutes, he shows how Claude Code
team takes one overloaded Claude and breaks it into focused helpers that keep working.
Watch the full talk, then save the exact setup below👇🏼
Claude Code creator:
"Since Opus 4.5, i uninstalled my IDE. I don't edit a single line of code by hand.
100% my code is written by Claude."
in 1-hour Y Combinator podcast, Boris Cherny reveals his daily Claude Code setup.
Claude Code + loops + dynamic workflow
Worth more than a $500 vibe-coding course.
🚨 ANTHROPIC JUST PUBLISHED A 36-PAGE SECURITY GUIDE THAT BASICALLY TELLS YOU TO STOP TRUSTING YOUR OWN AI AGENTS.
If you run agents on Claude Code, MCP servers, or automation tools, pay attention.
The attack timeline has collapsed.
AI models compress the gap between a vulnerability and a working exploit from months to hours, for mere dollars.
Agents introduce new autonomous risks, from tool poisoning to context memory manipulation.
The most useful idea in the guide is Anthropic's new security test:
Does a control make an attack impossible, or just tedious?
Automated attackers have unlimited patience. They will grind straight through friction like rate limits and 2FA. To defend at the speed of AI, you need hard barriers and automated defensive operations.
Here is how Anthropic says you should lock down agents:
→ Treat static API keys as compromised. Use short-lived tokens that expire in minutes.
→ Apply "Least Agency": explicitly limit what each tool can DO.
→ Sandbox agents that process untrusted inputs like emails and web pages.
→ Scope permissions dynamically per task, not permanently.
I've added the link to the guide in the 🧵↓
@TheLizVariant@MAGA_X_Times Because all we are presented with is violence and hostile acts day and night on x, on fb, on ig, all of social media. It’s literally becoming unbearable! @elonmusk