What technologies does Mouhssine Lakhili use?

Mouhssine Lakhili specializes in React, Node.js, TypeScript, AI agents, automation, data-driven systems, and modern web technologies.

Where is Mouhssine Lakhili based?

Mouhssine Lakhili is based in Île-de-France and open to full stack, AI, data, and automation opportunities.

How much experience does Mouhssine Lakhili have?

Mouhssine Lakhili has 3+ years of experience in Full-Stack development and has completed 20+ projects across various domains.

How to contact Mouhssine Lakhili?

You can contact Mouhssine Lakhili through the contact form on his portfolio, LinkedIn (linkedin.com/in/mouhssine-lakhili), GitHub (github.com/LMouhssine), or Twitter (@MoussWritesJS).

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MCP

Model Context Protocol

Agents

Developer Tools

Architecture

Model Context Protocol Explained: How MCP Works for AI Agents

Mouhssine LakhiliMarch 1, 20267 min read

Model Context Protocol (MCP) explained for developers: architecture, MCP client/server flow, security patterns, and real-world use cases for AI agent tools.

Developer workstation showing connected AI tools through an MCP integration layer.

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Abstract code-like patterns suggesting autonomous systems and control loops.

Agents

Architecture

How AI Agents Actually Work: Architecture, Memory, Tools, and the Agent Loop

A technical walkthrough of AI agent architecture: the agent loop, tool use, memory (RAG/vector DBs), evaluation, and common production failure modes.

February 9, 202613 min read

Close-up of server rack components and cables.

Agents

Developer Tools

The AI Orchestrator Battle Guide: How Developers Win in 2026

The battlefield has shifted. In 2026, the highest-paid developers don't write the most code—they orchestrate the most leverage. This battle guide shows you how to evolve from coder to AI orchestrator.

January 21, 202611 min read

Abstract visualization of neural network connections and AI processing.

LangChain

Agents

How to Build AI Agents with LangChain: Complete 2026 Tutorial

Step-by-step tutorial to build production-ready AI agents with LangChain. From setup to deployment with tools, memory, evaluation, and error handling.

January 30, 202612 min read

Model Context Protocol Explained: How MCP Works for AI Agents

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How AI Agents Actually Work: Architecture, Memory, Tools, and the Agent Loop

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