satoshi.near (Killer.Bee)

1990s

[NTH Entertainment @NTHNewsVN]

Chú gà đã tìm thấy mục tiêu của mình, thương cho chị gái và cái kết

[Brij Pandey @LearnWithBrij]

AI AGENT STACK — MASTER TREE 🌲

AI Agents
│
├── 01. Foundation Layer
│ ├── LLMs
│ │ ├── GPT-4.1
│ │ ├── Claude
│ │ ├── Gemini
│ │ └── DeepSeek
│ │
│ ├── Prompting
│ │ ├── System Prompts
│ │ ├── Few-shot
│ │ ├── Chain of Thought
│ │ └── Structured Output
│ │
│ └── Context
│ ├── Memory
│ ├── RAG
│ ├── Vector DB
│ └── Knowledge Graphs
│
├── 02. Agent Brain
│ ├── Planning
│ │ ├── Task Breakdown
│ │ ├── Goal Routing
│ │ └── Reflection
│ │
│ ├── Reasoning
│ │ ├── ReAct
│ │ ├── Tree of Thoughts
│ │ ├── Multi-Agent Debate
│ │ └── Self-Correction
│ │
│ └── Decision Engine
│ ├── Tool Selection
│ ├── Memory Retrieval
│ └── Action Prioritization
│
├── 03. Tool Layer
│ ├── Web Search
│ ├── Browser Automation
│ ├── Code Execution
│ ├── APIs
│ ├── Database Access
│ └── File Systems
│
├── 04. Agent Workflows
│ ├── Research Agents
│ ├── Coding Agents
│ ├── Sales Agents
│ ├── Customer Support Agents
│ ├── Content Agents
│ └── Autonomous Workflows
│
├── 05. Multi-Agent Systems
│ ├── Manager Agent
│ ├── Worker Agents
│ ├── Reviewer Agents
│ ├── Specialized Skills
│ └── Shared Memory Bus
│
├── 06. Infrastructure
│ ├── LangGraph
│ ├── CrewAI
│ ├── OpenAI Agents SDK
│ ├── MCP
│ ├── Docker
│ └── Kubernetes
│
├── 07. Observability
│ ├── Logs
│ ├── Traces
│ ├── Evaluations
│ ├── Hallucination Checks
│ └── Cost Monitoring
│
├── 08. Security Layer
│ ├── Sandboxing
│ ├── Permission Control
│ ├── Secret Management
│ ├── Guardrails
│ └── Human Approval Loops
│
└── 09. Future of Agents
├── Voice Agents
├── Computer Use
├── AI Employees
├── Self-Improving Agents
└── Autonomous Companies

Most people use AI like a chatbot.

The next generation will use AI like an operating system.

[satoshi.near (Killer.Bee) @killerbee0x]

Whales and KOLs keep pumping fresh tokens to trap retail
But if a token was created only hours, days, or even weeks ago,be careful—that’s often where the real scam happens. New tokens can look like opportunity, but they’re usually the easiest place to get rekt #neversellyourdust

[satoshi.near (Killer.Bee) @killerbee0x]

Old #memes (months/years ) that survived the dump and nobody watches | Lower | Patient investor looking for rebound #neversellyourdust #dust

[Senator Cynthia Lummis @SenLummis]

Without the Clarity Act, the digital asset industry will move offshore to any nation that has regulators willing to engage. Every day that we stall is a day we hand our competitors an advantage we won't get back.

The Clarity Act is critical to securing our financial future.

[Cynthia Lummis 🦬 @CynthiaMLummis]

It is time.

[Senator Tim Scott @SenatorTimScott]

Let’s make America the crypto capital of the world.

[Kangmin Lee | 이강민 @kangminlee]

This just killed 90% of female jobs

[Senator Cynthia Lummis @SenLummis]

Let’s do this!

[Alvaro Cintas @dr_cintas]

How to set up Claude Code so it runs like a full dev team:

5 folders. That's the entire system.

1. CLAUDE.md → Memory.

Your repo's constitution. Naming rules, structure, expectations. One global file for all projects, one local file per repo.

2. skills/ → Knowledge.

Reusable workflows Claude auto-invokes by matching the task description. No slash commands. It just knows.

3. hooks/ → Guardrails.

Shell scripts that run before and after every tool call. Block dangerous commands. Auto-lint on save. Ping Slack on deploy. Deterministic. Not AI.

4. subagents/ → Delegation.

Isolated agents with their own context window. A code reviewer that only sees the diff. A test runner with custom permissions. Keeps your main session clean.

5.plugins/ → Distribution.

Bundle the whole system into one install. Every teammate gets the same skills, same hooks, same agents. Aligned from day one.

This is the Agent Development Kit. Five layers, one stack.

To learn how and get the full Claude guide:

1. Go to https://t.co/xViEAXTX7v
2. Subscribe free by just writing your email.
3. Open my welcome email and get the free resources.

Repost ♻️ to help someone in your network.

[Wyrmwood @WyrmwoodGaming]

Stop managing your mess.
Start designing your setup.
Our modular Sit-Stand Desk in live now on Kickstarter.
Link in bio 💻

[helicerat @helicerat0x]

some senior ML engineer just went through 300+ github repos

pulled out the 69 that actually matter

here's what he found:

the tools funded startups pay $50,000/year for
have open-source alternatives with 70,000 to 98,000 stars

the tools solo developers use to ship in a weekend
cost exactly $0/month

ollama replaced $240/year in OpenAI API bills
n8n replaced $4,200/year in Zapier

supabase replaced $15,000/year in Firebase + Auth0

whisper replaced $360/year in transcription subscriptions

that's $20,000+ saved
one article. one weekend to set up

most people will install 2 or 3 of these and call it a day
THAT'S $5,000 off your stack

if you're still paying for the paid version - someone already built the free one

it has more stars than the paid one has customers

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually prompt Claude.

24 minutes. free. from the people who built it.

watch the workshop. bookmark it.

worth more than every $300 course you almost bought.

you've been using Claude without knowing 40 of its prompts.

Then read the guide below.

[Stuff Worth Seeing @StuffWorthSee]

I absolutely need this!!!

[CODIFY @codi_fyy]

10 must-try open source repos for the weekend:
1. Clawless: https://t.co/W1KDhsOa99

2. Paperclip: https://t.co/yvj9b5BsxK

3. TimesFM:
https://t.co/qNivViT4E5

4. Lark CLI:
https://t.co/WmCIngNvad

5. ST3GG:
https://t.co/PmQAN1rSaK

6. OpenClaude:
https://t.co/bkWee1PSPI

7. Agent Orchestrator:
https://t.co/HrMHIDoX7l

8. MiroFish:
https://t.co/yLf2o0DRwP

9. Hermes Agent:
https://t.co/AcUz0MCCPj

10. Oh my Claude code:
https://t.co/CSwbrdOAj9

[Yasir Ai @AiwithYasir]

🚨Breaking: Someone open sourced a knowledge graph engine for your codebase and it's terrifying how good it is.

It's called GitNexus. And it's not a documentation tool.

It's a full code intelligence layer that maps every dependency, call chain, and execution flow in your repo -- then plugs directly into Claude Code, Cursor, and Windsurf via MCP.

Here's what this thing does autonomously:

→ Indexes your entire codebase into a graph with Tree-sitter AST parsing
→ Maps every function call, import, class inheritance, and interface
→ Groups related code into functional clusters with cohesion scores
→ Traces execution flows from entry points through full call chains
→ Runs blast radius analysis before you change a single line
→ Detects which processes break when you touch a specific function
→ Renames symbols across 5+ files in one coordinated operation
→ Generates a full codebase wiki from the knowledge graph automatically

Here's the wildest part:

Your AI agent edits UserService.validate().

It doesn't know 47 functions depend on its return type.

Breaking changes ship.

GitNexus pre-computes the entire dependency structure at index time -- so when Claude Code asks "what depends on this?", it gets a complete answer in 1 query instead of 10.

Smaller models get full architectural clarity. Even GPT-4o-mini stops breaking call chains.

One command to set it up:
`npx gitnexus analyze`

That's it. MCP registers automatically. Claude Code hooks install themselves.

Your AI agent has been coding blind. This fixes that.

9.4K GitHub stars. 1.2K forks. Already trending.

100% Open Source.

(Link in the comments)

[Charly Wargnier @DataChaz]

Wait... Claude Design does SVG animations too?!

We are incredibly COOKED 🤯