Majita ! Remember, every setback is a setup for a comeback. Embrace challenges with open arms and watch yourself grow stronger. You've got this!
happy majita monday 🫶🏾
🔐 Linux File Permissions: explained like a human
In Linux, permissions use 3-digit octal numbers like 755 or 644.
Each digit represents permissions for:
👤 Owner (User)
👥 Group
🌍 Others
Permission values:
- Read (r) = 4
- Write (w) = 2
- Execute (x) = 1
How to remember keep 4 as constant and then add:
7 = rwx (4+2+1)
6 = rw- (4+2)
5 = r-x (4+1)
Examples:
755 → rwx r-x r-x
644 → rw- r-- r--
Once you get this, chmod stops feeling like magic.
#Linux #DevOps
Low-key websites I quietly rely on
1) https://t.co/FDnurfhwge
Gives you a brutally clear learning path for roles like frontend, backend, DevOps, etc
No fluff, just “learn this → then this → then this”.
2) https://t.co/1xhB1Us0oz
An online playground to quickly test HTML, CSS, JS without setting up anything locally
Perfect for quick experiments and debugging ideas
3) https://t.co/d80zVxq6TY
A collection of reusable React hooks with real use cases
Saves time and helps you avoid rewriting the same logic again and again
4) https://t.co/UgqeLiqese
Concise cheat sheets for languages, frameworks, and tools. Ideal when you forget syntax and don’t want to read a 20-minute blog
5) https://t.co/OehnjnfVix
Turns messy JSON into a clean visual tree
Makes understanding large APIs and configs way easier than staring at raw text
6) https://t.co/mcMPeqEFWJ
Lets you generate and preview color palettes instantly
Useful when you want decent UI colors without guessing or copying blindly
7) https://t.co/9yEsuJrWCB
Build, test, and debug regex step by step with explanations Honestly, the fastest way to stop hating regex
8) https://t.co/7eM95WZ8cJ
Shows how big an npm package really is before you install it
Helps you avoid bloating your app with “tiny” libraries
9) https://t.co/Za87baZsBk
Tells you which CSS/JS features actually work across browsers Essential before using shiny new features in production
10) https://t.co/YeYh94AX4R
Google’s own diagnostics tools for DNS, email, headers, and network issues
Surprisingly useful for debugging real-world problems
👉 Which one of these do you already use and which one did you not know existed?
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/OLkDaY7H7g
2. LLMs from Scratch: https://t.co/2N91lxtSh1
3. Agentic AI Overview (Stanford): https://t.co/4xX3JiNUlm
4. Building and Evaluating Agents: https://t.co/paoZnUdySm
5. Building Effective Agents: https://t.co/TICgQVUFCk
6. Building Agents with MCP: https://t.co/EPKu3G7Fms
7. Building an Agent from Scratch: https://t.co/U3XSK0Qx85
8. Philo Agents: https://t.co/wGNERv8TpH
🗂️ Repos
1. GenAI Agents: https://t.co/mmvbJpOSlG
2. Microsoft's AI Agents for Beginners: https://t.co/zQLhaT3Wpl
3. Prompt Engineering Guide: https://t.co/wYFPPKX4H1
4. Hands-On Large Language Models: https://t.co/92ZZJh6MXG
5. AI Agents for Beginners: https://t.co/zQLhaT3Wpl
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/gvzfW6aKnf
8. Hands-On AI Engineering:https://t.co/DHTvNbpMVk
9. Awesome Generative AI Guide: https://t.co/jfjbl5CQvA
10. Designing Machine Learning Systems: https://t.co/KIV2X9uKQs
11. Machine Learning for Beginners from Microsoft: https://t.co/Gdl4oZxQEY
12. LLM Course: https://t.co/59QVZqGED0
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/Psy7vqkVR2
2. Google's Agent Companion: https://t.co/sdw5mZhsOM
3. Building Effective Agents by Anthropic: https://t.co/euyR1t8Dg0.
4. Claude Code Best Agentic Coding practices: https://t.co/psPsyWWMwH
5. OpenAI's Practical Guide to Building Agents: https://t.co/67B9XaLolZ
📚Books:
1. Understanding Deep Learning: https://t.co/j5xz5XfkFL
2. Building an LLM from Scratch: https://t.co/TX8BJPpxX0
3. The LLM Engineering Handbook: https://t.co/rSWCiuvZYW
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/m3Tq3vE6Go
5. Building Applications with AI Agents - Michael Albada: https://t.co/QM4mYlYdWh
6. AI Agents with MCP - Kyle Stratis: https://t.co/sIqEe430D6
7. AI Engineering: https://t.co/hs4bN4xFAV
📜 Papers
1. ReAct: https://t.co/k3tFy7pbvR
2. Generative Agents: https://t.co/yQp1Tjl94i.
3. Toolformer: https://t.co/RKBauj9GVX
4. Chain-of-Thought Prompting: https://t.co/fVqbr68wvt.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/OYgR6C8HNd
2. MCP with Anthropic: https://t.co/n5nnFc9DUC
3. Building Vector Databases with Pinecone: https://t.co/MLhJnfbdGG
4. Vector Databases from Embeddings to Apps: https://t.co/31zEvnwtfZ
5. Agent Memory: https://t.co/ldYc6RVmMj
Repost for your network ♻️
This is hands down the best LangGraph playlist I’ve come across 🚀
✅ 17 core topics
⏱️ 12+ hours of structured learning
If AI Agents are on your 2026 learning roadmap, add this to your New Year’s resolution list.
This tutorial is a gold mine 💎
What’s covered:
1️⃣ Generative AI vs Agentic AI
2️⃣ What Agentic AI really is
3️⃣ LangChain vs LangGraph
4️⃣ LangGraph core concepts
5️⃣ Sequential workflows
6️⃣ Parallel workflows
7️⃣ Conditional workflows
8️⃣ Iterative workflows
9️⃣ Building a chatbot using LangGraph
🔟 Persistence & Time Travel in LangGraph
1️⃣1️⃣ Chatbot with UI using LangGraph + Streamlit
1️⃣2️⃣ Real-time streaming workflows
1️⃣3️⃣ Building a ChatGPT-like resume chat feature
1️⃣4️⃣ LangGraph + SQLite (DB-integrated chatbot)
1️⃣5️⃣ LangSmith crash course (observability basics)
1️⃣6️⃣ Observability in LangGraph with LangSmith
1️⃣7️⃣ Tool usage & orchestration in LangGraph
🔗 Playlist: https://t.co/b7mj1GuX2E
Learn AI Agents in 2026, your future self will thank you. 🤖✨
#AI #AIAgents #LangGraph #LangChain #GenerativeAI #AgenticAI #LLMs #DeveloperLearning