paddyrags

I may or may not be what you think...;). Humanity First - Equality First

[Charly Wargnier @DataChaz]

Want to master Claude Code?

Here are 26 slash commands every power user needs to know.

Save this list to supercharge your AI coding workflow ↓

[Dhanian 🗯️ @e_opore]

Modern LLM Engineering Guide

If it is choosing a model → GPT / Claude / Gemini
If it is prompt design → Prompt Engineering
If it is grounding responses → RAG (Retrieval-Augmented Generation)
If it is vector search → Pinecone / Weaviate / Qdrant
If it is embeddings → Embedding Models
If it is document ingestion → Chunking + Indexing
If it is agent workflows → LangGraph / CrewAI
If it is tool calling → Function Calling
If it is structured outputs → JSON Schemas
If it is memory → Short-Term + Long-Term Memory
If it is evaluation → LLM Evals
If it is observability → LangSmith / OpenTelemetry
If it is fine-tuning → Supervised Fine-Tuning (SFT)
If it is reasoning workflows → Chain of Thought + Planning
If it is multimodal systems → Text + Image + Audio Models
If it is deployment → FastAPI + Docker
If it is scalability → Caching + Queue Systems
If it is security → Guardrails + Input Validation
If it is production AI → Monitoring + Feedback Loops
If it is mastering LLM engineering → build → evaluate → optimize → deploy → repeat

Grab the Modern LLM Engineering ebook: https://t.co/ljEMt0UNUI

[Dhanian 🗯️ @e_opore]

Docker + Dockerfile → Container Images
Docker + Docker Compose → Multi-Container Apps
Docker + BuildKit → Faster Image Builds
Docker + Alpine Linux → Lightweight Containers
Docker + Nginx → Web Server Containers
Docker + Node.js → Backend Containers
Docker + Python → AI & Data Containers
Docker + PostgreSQL → Database Containers
Docker + MySQL → Relational Database Containers
Docker + Redis → In-Memory Caching
Docker + MongoDB → NoSQL Containers
Docker + Kubernetes → Container Orchestration
Docker + Helm → Kubernetes Package Management
Docker + Traefik → Reverse Proxy & Load Balancing
Docker + GitHub Actions → CI/CD Pipelines
Docker + Jenkins → Automated Deployments
Docker + Terraform → Infrastructure Automation
Docker + Prometheus → Container Monitoring
Docker + Grafana → Metrics Visualization
Docker + ELK Stack → Centralized Logging
Docker + Harbor → Private Container Registry
Docker + Docker Swarm → Native Clustering
Docker + AWS ECS → Managed Containers
Docker + Azure Container Apps → Cloud-Native Deployments
Docker + Google Kubernetes Engine (GKE) → Scalable Cloud Containers

Grab the Docker Handbook:
https://t.co/DLllv30suF

[Booksforaspirants @AspirantsBooks]

10 Ways to become mentally untouchable

[Khairallah AL-Awady @eng_khairallah1]

Creator of Claude Code:

"At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops

self-improving loops help agents become better with each run."

in a 1-hour podcast, Boris explains how they build agents from scratch.

Claude + loops + agent teams + dynamic workflows

Watch the talk and bookmark it, then read how to build your first agent team below.

[Alex Freberg @Alex_TheAnalyst]

Next week I'm launching the new Modern Data Workflows in @Snowflake course on @Analyst_Builder!

You can get a sneak peak here: https://t.co/KpHCBJqFzD

Snowflake is an incredibly popular cloud-based data platform used by companies around the world. It's a fantastic tool to know how to use and we cover everything you need to know in this course.

Anyone with an active subscription or a Lifetime Membership on Analyst Builder will get immediate access!

[Python Coding @clcoding]

🔄 PDF → XML Converter in Python

[Elon Musk @elonmusk]

Q1 tonnage to orbit by launch provider.

Once Starship is flying hourly, SpaceX’s mass to orbit will be about 100 times more than everyone else combined, even if they triple their current launch rate.

[Rahul @sairahul1]

🚨 Karpathy was right.

He warned that 90% of AI advice dies in 6 months

spoiler: most tools will not even survive 90 days

this guy is literally giving away the exact 2026 playbook for AI Agents.

he covers what to learn, how to build, and when to skip 👀

↓ read this today

[Dan Kornas @DanKornas]

Pytorch

What you will learn:
- 1-Pytorch Installation For Deep Learning
- 2-Understanding Of Tensors Using Pytorch
- 3-How To Perform BackPropogation Using Pytorch
- 4- Solving Kaggle Pima Diabetes Prediction Using ANN With PyTorch Library
- 5-Live- Kaggle Advance House Price Prediction Using Pytorch Deep Learning
- 6- How To Run Pytorch Code In GPU Using CUDA Library

Link is in the first comment 👇

♻️ Share this with your network if you found it useful or insightful.

[Movez @0xMovez]

Creator of Claude Code:

"At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops

self-improving loops help agents become better with each run."

in a 1-hour podcast, Boris explains how they build agents loops from sratch.

Claude + loops + routines + dynamic workflows - that’s the secret.

Watch the talk, then read how to apply the same playbook to quant trading below.

[paddyrags @paddyrags]

@CreeCoder Notional....at least he has money to loose.. and you

[R.K. @ipo_mantra]

Good News for Investors who track US Stock Market Closely:

US Stocks and ETFs just went live on Dhan, via the IFSCA GIFT City route. First broker to go via a regulated entity.

Why this matters:
- Regulated under IFSCA
- Tax-efficient route, thanks to the India-US DTAA
- AI, cloud, semiconductors and ETFs: the depth is real
- Fractional investing from $1

Eager to see how this gets picked up by indian investors in the coming months.

[Job Corner @JOBCORNER247]

INTERVIEW TIPS:

These Interview tips could be helpful to somebody out there so please share them.

#interview #tips

[Csaba Kissi @csaba_kissi]

Services for coders

Hosting without infra management - Sevalla
CDN + DNS - Bunny․net
Domains - Dynadot
Auth - WorkOS
Transactional email - Mailgun
Logging - Axiom
Monitoring - Datadog
Search - Elasticsearch (Elastic Cloud)
Payments - Lemon Squeezy
Error tracking - Airbrake
CI/CD - GitLab CI

[Dhanian 🗯️ @e_opore]

Modern Java Project Ideas in 2026

1. AI-Powered Code Review Platform (Spring Boot + OpenAI)

2. AI Resume Analyzer & Job Matching System

3. Multi-Tenant SaaS CRM Platform

4. Real-Time Chat Application with WebSockets

5. AI Customer Support Chatbot

6. Personal Finance & Expense Tracker

7. Smart Inventory Management System

8. E-Commerce Platform with Microservices

9. Event Ticket Booking System

10. Online Learning Management System (LMS)

11. AI-Powered Interview Preparation Platform

12. Healthcare Appointment & Telemedicine System

13. Smart Parking Management System

14. Cloud File Storage System (Google Drive Clone)

15. Food Delivery Management System

16. Subscription Billing & Payment Platform

17. URL Shortener with Analytics Dashboard

18. Ride Sharing Application (Uber Clone)

19. Social Media Backend API

20. Video Streaming Platform (Netflix Clone)

21. AI Document Summarization Tool

22. API Gateway & Service Discovery Platform

23. Distributed Job Scheduler

24. Real-Time Stock Market Tracker

25. Smart Email Automation Platform

26. IoT Device Monitoring Dashboard

27. Hotel Booking & Reservation System

28. Cryptocurrency Portfolio Tracker

29. Enterprise Workflow Automation Tool

30. AI-Powered Knowledge Base Search Engine

31. Employee Management & Payroll System

32. Logistics & Fleet Tracking Platform

33. Online Examination & Proctoring System

34. Digital Wallet & Payment Gateway

35. AI Content Generation Platform

36. Collaborative Project Management Tool

37. Real-Time Notification Service

38. Kubernetes Deployment Management Platform

39. AI-Powered Recommendation Engine

40. Distributed URL Crawling & Search Engine

Advanced Enterprise-Level Projects

41. Netflix-Style Video Streaming Architecture

42. WhatsApp-Style Messaging System

43. Distributed Banking System

44. High-Performance API Rate Limiter

45. Real-Time Fraud Detection Platform

46. Cloud-Native Microservices Marketplace

47. Event-Driven Order Processing System

48. Multi-Region E-Commerce Architecture

49. Distributed Cache Management System

50. AI SaaS Platform for Developers

Grab Java Projects ebook: https://t.co/kHTjfoHnfH

These projects align well with the 2026 Java ecosystem, including Java 21+, Spring Boot 3+, Spring AI, Virtual Threads, Microservices, Kubernetes, Docker, Kafka, Redis, PostgreSQL, MongoDB, AWS, Azure, GCP, and AI integrations.

[GitHub Projects Community @GithubProjects]

Lima launches Linux VMs on macOS and other hosts with automatic file sharing and port forwarding, similar to WSL2.

- Uses containerd, Docker, Podman, or Kubernetes as container engines
- Start a VM with `limactl start` and run commands via `lima`
- Supports non-macOS hosts including Linux and NetBSD
- Adopted by Rancher Desktop, Colima, Finch, and Podman Desktop

Explore it here:
https://t.co/Yxc3lLj7qJ

[Python Programming @PythonPr]

How to Explain AI Types

[Booksforaspirants @AspirantsBooks]

10 Golden Rules for a better mindset

[Python Developer @PythonDvz]

Different Types of LLM Algorithms and Architectures: A Practical Guide for AI Professionals

🚀 Large Language Models (LLMs) are transforming how we interact with technology. From intelligent chatbots and code assistants to enterprise search and AI agents, LLMs are becoming the foundation of modern Artificial Intelligence. But not all LLMs are built the same.

Understanding the major LLM architectures helps Data Scientists, AI Engineers, and Technology Leaders choose the right model for the right problem.

Future Trends
The future of LLMs is moving toward:
Multimodal AI (text, image, audio, video)
Agentic AI systems
Smaller and more efficient models
Enterprise-grade AI applications
Personalized AI assistants
Key Takeaways
✅ Transformers remain the foundation of modern LLMs.
✅ Different architectures serve different business needs.
✅ RAG improves factual accuracy through external knowledge.
✅ Agentic AI is pushing beyond simple text generation toward autonomous decision-making.

As AI continues to evolve, understanding these architectures is becoming a critical skill for anyone working in Data Science, Machine Learning, or Artificial Intelligence.

💬 Which LLM architecture do you think will have the biggest impact on enterprise AI over the next five years?

#ArtificialIntelligence #GenerativeAI #LLM #LargeLanguageModels #RAG #AgenticAI #MachineLearning #DataScience #AIEngineering