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).

Back to Blog

Agents

LLM

Automation

Tech

Why AI Agents Fail (And How to Fix Them)

Mouhssine LakhiliJanuary 13, 202610 min read

A practical guide to AI agent failures in production and how to fix them with better prompts, memory design, tool gating, evaluation, UX, and security.

Glitch art with symbols and distorted patterns.

Share this article

Group of computers arranged in a cluster.

Agents

Automation

AI in 2026: How Autonomous AI Agents and Human-AI Collaboration Will Shape the Future of Tech

A forward-looking guide to AI agents, autonomous AI, and human-AI collaboration in 2026, with real trends, risks, and actionable takeaways for builders.

January 15, 20269 min read

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

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

Why AI Agents Fail (And How to Fix Them)

Related Posts

AI in 2026: How Autonomous AI Agents and Human-AI Collaboration Will Shape the Future of Tech

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

How to Build AI Agents with LangChain: Complete 2026 Tutorial

Table of Contents