🚨 There's a major attack going on via npm right now.
Do not install any packages right now.
Talk to your agent ASAP and check if you're vulnerable or have been compromised.
This is urgent ‼️
🚨 Someone compiled every "build it from scratch" tutorial on the internet into one place.
It's called build-your-own-x and it's the most starred repo in GitHub history.
466,000 stars. More than React. More than TensorFlow. More than any tool ever built.
And it's not code. It's a curated collection of step-by-step tutorials that teach you how to rebuild the technologies you use every day. From scratch.
Richard Feynman said: "What I cannot create, I do not understand."
That's the entire philosophy.
Here's what's inside:
→ Build your own Database from B+Trees to a full Redis clone
→ Build your own Docker containers in 500 lines of C
→ Build your own Git finally understand what a commit actually is
→ Build your own Neural Network not import tensorflow, real backpropagation from scratch
→ Build your own Operating System write a kernel in C
→ Build your own Programming Language interpreters, compilers, garbage collection
→ Build your own 3D Renderer ray tracing, pixel by pixel
→ Build your own Web Server, Web Browser, Search Engine, Shell, Regex Engine, Game, Blockchain, BitTorrent Client, Physics Engine, and more
Every category has multiple tutorials in multiple languages. C, C++, Python, Go, Rust, JavaScript, Java, Ruby, Haskell, TypeScript, and more.
Here's the part most people miss:
This isn't a beginner resource. This is the most advanced learning material that exists for software engineers. Because rebuilding something from scratch forces you to confront every design decision the original creators made.
You can't skip anything. You can't hide behind a library.
In the age of AI-generated code, this is the knowledge that becomes MORE valuable, not less. AI can import libraries. AI cannot replace an engineer who understands WHY systems work the way they do.
466K stars. 43.7K forks. Every tutorial is free. No paywalls. No sign-ups.
The best way to learn how something works is to build it yourself.
100% free. 100% Open Source.
GitHub link in the comments 👇
Skip Coursera. Skip Udemy. Skip expensive playbooks.
MIT has 11 amazing free AI courses:
Sharing this great course compilation from Anisha Jain.
1. AI 101
Clear introduction to core AI ideas.
Ideal if you’re starting from zero and want the big picture first.
🔗https://t.co/0v79GKwWSU
2. Introduction to Deep Learning
Hands-on bootcamp covering neural networks and modern deep learning foundations.
🔗https://t.co/B1VTITLuaA
3. Artificial Intelligence
Covers problem-solving, knowledge representation, and machine learning fundamentals.
🔗https://t.co/WxPsY4pQkQ
4. Introduction to Machine Learning
Beginner-friendly overview of ML principles and essential algorithms you’ll actually use.
🔗https://t.co/wpodNq0mRC
5. How to AI (Almost) Anything
Explore how AI applies to music, art, perception, and creative systems.
🔗https://t.co/yjYfmJmkHK
6. Understanding the World Through Data
Use data analysis and ML techniques to interpret real-world problems.
🔗https://t.co/NyQW6lcB3e
7. Artificial Intelligence in K-12 Education
Foundations of AI technology and how it can shape learning environments.
🔗https://t.co/gp6sqG9ue0
8. Introduction to Algorithms
A key prerequisite for building efficient AI systems and writing optimized code.
🔗https://t.co/8FjvYNqGsZ
9. Foundation Models and Generative AI
Deep dive into modern AI systems (like ChatGPT) and how large models work.
🔗https://t.co/o9IVWIozU6
Focus on one AI track at a time.
Dedicate 30–45 minutes daily and practice as you go.
Apply your learning in small projects or real tasks to grow quickly.
♻️ Share this so more people can access these free resources.
——
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🚨 Someone just open sourced a fully autonomous AI hacker and it's terrifying.
It's called Shannon.
Point it at your web app, and it doesn't just scan for vulnerabilities. It actually exploits them. Real injections. Real auth bypasses. Real database exfiltrations.
Not alerts. Not warnings. Actual working exploits with copy-paste proof-of-concepts.
Here's what this thing does autonomously:
→ Reads your entire source code to plan its attack
→ Maps every endpoint, API route, and auth mechanism
→ Runs Nmap, Subfinder, and WhatWeb for deep recon
→ Hunts for Injection, XSS, SSRF, and broken auth in parallel
→ Launches real browser-based exploits to prove each vulnerability
→ Generates a pentester-grade report with reproducible PoCs
Here's the wildest part:
It follows a strict "No Exploit, No Report" policy. If it can't actually break it, it doesn't report it. Zero false positives.
It pointed at OWASP Juice Shop and found 20+ critical vulnerabilities in a single run including complete auth bypass and full database exfiltration.
On the XBOW Benchmark (hint-free, source-aware), it scored 96.15%.
Your team ships code daily with Claude Code and Cursor. Your pentest happens once a year. That's 364 days of shipping blind.
Shannon closes that gap. One command. Fully autonomous.
The Red Team to your vibe-coding Blue team. Every Claude coder deserves their Shannon.
10.6K GitHub stars. 1.3K forks. Already trending.
100% Open Source. AGPL-3.0 License.
Not just Anthropic.
Here are 10 AI companies offering free courses to master AI for $0.00:
1. OpenAI: https://t.co/vZfOZi1HAJ
2. Google: https://t.co/NNWRJ8IkML
3. Microsoft: https://t.co/vcLLEglZAS
4. NVIDIA: https://t.co/Oo87jDmYmN
5. DeepLearningAI: https://t.co/Bq3F0djPCf
6. Meta: https://t.co/E04sIRM89Z
7. AWS: https://t.co/1yIbeAiO4D
8. IBM: https://t.co/lC4g3QrQuQ
9. Hugging Face: https://t.co/04y9Xvq3Mu
10. Stanford: https://t.co/ybkRhG2v8I
Most people pay for AI courses.
But the real ones are actually free.
Cadê o pessoal de ti na gringa? Existe comunidade? Grupo do Facebook, de WhatsApp?
Quem topa? Trocar figurinha, dicas, oportunidades…
#bolhadev cc @sseraphini