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Mr. Majid

@CoreCoder

Seasoned programmer since 2005. Currently Generative AI Developer. #Generativeai #DevOps #AWS #Python #AgenticAI #Chatbots #Docker #Serverless

 faisalabad
Joined January 2012
  • Tweets703
  • Following5.1K
  • Followers11.3K
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AI agents become powerful when they move beyond conversation. Examples: • Querying databases • Booking appointments • Updating records • Triggering workflows Action is where value starts. #LLM #SystemDesign #AIEngineering #Automation #AI #AgenticAI #Chatbot #GenerativeAI
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Hosting GenAI apps on Ubuntu/CentOS servers — quick guide agentsarcade.com/blog/hostin… #AgenticAI #chatbot
Hosting GenAI apps on Ubuntu/CentOS servers — quick guide

Hosting GenAI apps on Ubuntu/CentOS servers — quick guide

A no-nonsense guide to hosting GenAI apps on Ubuntu and CentOS, covering GPUs, Docker, security, and why self-hosted Linux still wins.

agentsarcade.com
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What Is an AI Agent? (Business vs Technical View) #AIAgent #AgenticAI #RAG #LangGraph agentsarcade.com/blog/what-i…
What Is an AI Agent? (Business vs Technical View)

What Is an AI Agent? (Business vs Technical View)

Discover how AI agents work, their difference from chatbots, and why true agentic AI requires memory, decision loops, and autonomous workflows.

agentsarcade.com
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Hosting GenAI apps on Ubuntu/CentOS servers — quick guide #AgenticAI #GenerativeAI #CentOS #Ubuntu agentsarcade.com/blog/hostin…
Hosting GenAI apps on Ubuntu/CentOS servers — quick guide

Hosting GenAI apps on Ubuntu/CentOS servers — quick guide

A no-nonsense guide to hosting GenAI apps on Ubuntu and CentOS, covering GPUs, Docker, security, and why self-hosted Linux still wins.

agentsarcade.com
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Multi-agent systems: Benefits & pitfalls in real projects. #GenerativeAI #LLM #AgenticAI #Chatbots agentsarcade.com/blog/multi-…
Multi-agent systems: Benefits & pitfalls in real projects.

Multi-agent systems: Benefits & pitfalls in real projects.

Real-world lessons on multi-agent systems—when they work, when they fail, and the hidden costs teams discover too late in production.

agentsarcade.com
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How to evaluate LLM responses properly (RAG evaluation) #GenerativeAI #LLM #chatbots #AgenticAI agentsarcade.com/blog/evalua…
How to evaluate LLM responses properly (RAG evaluation)

How to evaluate LLM responses properly (RAG evaluation)

A hard-nosed guide to evaluating RAG systems properly—faithfulness, hallucination detection, LLM-as-a-judge, and production-grade metrics.

agentsarcade.com
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What Is the MERN Stack and Why Companies Use It #GenerativeAI #mernstack #chatbots agentsarcade.com/blog/mern-s…
What Is the MERN Stack and Why Companies Use It

What Is the MERN Stack and Why Companies Use It

A practical, experience-driven look at the MERN Stack and why companies choose full-stack JavaScript to build fast, scalable modern web applications.

agentsarcade.com
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LangChain vs LlamaIndex vs Agents SDK — when to use what #AgenticAI #LlamaIndex #LangChain #Openai agentsarcade.com/blog/langch…
LangChain vs LlamaIndex vs Agents SDK — when to use what

LangChain vs LlamaIndex vs Agents SDK — when to use what

LangChain vs LlamaIndex vs OpenAI Agents SDK — a senior engineer’s take on real production tradeoffs, RAG systems, and agentic workflows.

agentsarcade.com
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Building LLM apps with FastAPI — best practices #LLMs #FastAPI #RAG #GenerativeAI #Chatbots agentsarcade.com/blog/buildi…
Building LLM apps with FastAPI — best practices

Building LLM apps with FastAPI — best practices

Learn how to build production-ready LLM apps with FastAPI, covering architecture, scaling, latency, observability, and real-world AI backend best practices.

agentsarcade.com
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Using MCP (Model Context Protocol) to Let LLMs Call Real Tools #GenerativeAI #AgenticAI #MCP agentsarcade.com/blog/using-…

Using MCP (Model Context Protocol) to Let LLMs Call Real Tools

Learn how MCP lets LLMs call real tools securely and reliably. Explore practical use cases, architecture, and how to integrate MCP into your workflows.

agentsarcade.com
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Real-World Examples of AI Agents Automating Work Across Research, Content, and Support agentsarcade.com/blog/exampl…

Real-World Examples of AI Agents Automating Work Across Research, Content, and Support

Discover real-world examples of AI agents automating research, content creation, and support to streamline workflows and boost productivity.

agentsarcade.com
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linkedin.com/pulse/evaluatin…
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Good Bye Judge judge Frank Caprio
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Understanding Handoffs vs. Agents-as-Tools in OpenAI's Agents SDK linkedin.com/pulse/understan… #GenerativeAI #AgenticAI #LLMs #AIchatbot

Understanding Handoffs vs. Agents-as-Tools in OpenAI's Agents SDK

OpenAI's Agents SDK (v0.0.

linkedin.com
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Exploring OpenAI's GPT Models: Performance, Pricing, and Use Cases linkedin.com/pulse/exploring… #GenerativeAI #AgenticAI #LLMs #AIchatbot
🔍 Exploring OpenAI's GPT Models: Performance, Pricing, and Use Cases

🔍 Exploring OpenAI's GPT Models: Performance, Pricing, and Use Cases

Hey everyone! 👋 Lately, I've been geeking out over OpenAI's different language models, trying to get a good feel for what they can do, how they stack up against each other, and where they really...

linkedin.com
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Implementing RAG (Retrieval-Augmented Generation) with LangChain and LlamaIndex linkedin.com/pulse/implement… #GenerativeAI #AgenticAI #LLMs #AIchatbot #AI
Implementing RAG (Retrieval-Augmented Generation) with LangChain and LlamaIndex

Implementing RAG (Retrieval-Augmented Generation) with LangChain and LlamaIndex

The world of Large Language Models (LLMs) is evolving at breakneck speed, offering incredible capabilities in understanding and generating human-like text. However, these models often operate with a...

linkedin.com
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How RAG Works: A Beginner’s Guide linkedin.com/pulse/how-rag-w…

How RAG Works: A Beginner’s Guide

Introduction Have you ever wondered how AI systems like chatbots or virtual assistants can provide accurate and detailed answers to your questions, even when the information isn’t explicitly part of...

linkedin.com
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Integrating AI in Web Apps: Next.js + FastAPI + LLMs linkedin.com/pulse/integrati…
Integrating AI in Web Apps: Next.js + FastAPI + LLMs

Integrating AI in Web Apps: Next.js + FastAPI + LLMs

Introduction The integration of Artificial Intelligence (AI) into web applications is transforming how users interact with digital platforms. From personalized recommendations to intelligent chatbo...

linkedin.com
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Building more robust and reliable agentic applications with the guardrails feature in the OpenAI Agents SDK. Implementing safety checks for inputs and outputs is crucial for real-world deployment. #AgenticAI #OpenAISDK #AISafety #GenerativeAI
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LangChain vs. LlamaIndex: Which is Better for RAG? linkedin.com/pulse/langchain…

LangChain vs. LlamaIndex: Which is Better for RAG?

Introduction Retrieval-Augmented Generation (RAG) has emerged as a powerful framework for enhancing large language models (LLMs) by combining retrieval-based methods with generative AI. RAG allows...

linkedin.com
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