DegenSing

someone just leaked the Claude Code meta.
this repo has 13k stars and it's basically a free AI engineering team in a folder.
what's inside:
→ sub-agent architectures that actually scale
→ the only 3 MCP servers you'll ever need
→ slash commands that aren't in the official docs
→ real workflows from Karpathy and Boris Cherny
→ orchestration patterns: Command → Agent → Skill
Boris Cherny (Anthropic) said it best.. "every engineer uses their tools differently. we built Claude Code to not just have great defaults, but to also be incredibly customizable."
hooks, plugins, LSPs, MCPs, skills, custom

10 AI companies are giving away courses for free that people pay thousands for.
master even 3 of these and you're ahead of 99% of people panicking about AI replacing them.
here's your free curriculum:
1. OpenAI — learn directly from the people building GPT
→
2. Google — AI fundamentals from the company that started the transformer revolution
→
3. Microsoft — enterprise AI, Azure, Copilot.. the corporate AI stack
→
4. NVIDIA — GPU computing, deep learning, the hardware side nobody teaches
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5. — Andrew Ng's courses.. this is the gold standard for ML foundations
→
6. Meta — open-source AI,

12 hidden AI tools that feel like actual superpowers.
bookmark this before it gets buried in your timeline.
writing & thinking:
→ - writes like a human, thinks like an analyst
presentations:
→ - slides that build themselves
image & creative:
→ - removes anything from any image
→ - creative AI that actually looks good
→ - turn photos into art styles
branding:
→ - logo + brand identity in minutes
productivity:
→ - your notes but they think for you
→ - never run out of prompt ideas
video & 3D:
→ - turn real objects into 3D models with your phone
→ - face swap that's scary accurate
voice

everyone's building with AI but almost nobody understands how the layers actually work.
Agentic AI isn't just one thing.. it's four layers stacked on top of each other.
> layer 1: LLMs
the base. tokenization, prompt engineering, context engineering, RAG, fine-tuning. this is where most people stop.. and it's just the foundation.
> layer 2: AI Agents
this is where it gets interesting. reasoning (ReAct, Chain-of-Thought, Tree of Thought), long-term memory, multi-step tool chaining, state management. your AI isn't just answering questions anymore.. it's planning and executing.
> layer 3: Agentic

🚨 ChatGPT lies to you 27% of the time and you have no idea.
a lawyer literally lost his career trusting AI-generated legal citations that were completely fabricated. filed them in court. judge found out. career over.
but here's what most people don't know..
Johns Hopkins researchers tested 1,200 prompts and found that how you prompt changes everything.
baseline prompting: 27.3% hallucination rate
generic instructions like "be accurate": 24.1%.. barely helps
now here's the fix:
just add "according to" before your question.
instead of: "what are the health benefits of magnesium?"
try: "accordin