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You are here: Home / Archives for Rana Ahsan

Articles Written By Rana Md Ali Ahsan

About Rana Ahsan

Rana Ahsan is a seasoned software engineer and technology leader specialized in distributed systems and software architecture. With a Master’s in Software Engineering from Concordia University, his experience spans leading scalable architecture at Coursera and TopHat, contributing to open-source projects. This blog, CodeSamplez.com, showcases his passion for sharing practical insights on programming and distributed systems concepts and help educate others.
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SnapDrift: Free Auto Visual Regression Testing On GitHub Actions

Updated March 19, 2026 by Rana Ahsan Leave a Comment ⏰ 7 minutes

visual diff github

SnapDrift is a free, open-source visual regression testing tool built for GitHub Actions. It captures full-page screenshots on every push, compares them pixel-by-pixel against your baseline, and reports drift directly in your pull requests. No SaaS dashboards, no per-screenshot pricing — just two Actions and a JSON config.

Local LLM for Coding: Free AI Coding Agent With Ollama + Claude

Updated March 11, 2026 by Rana Ahsan Leave a Comment ⏰ 17 minutes

Local Coding Agent

This guide walks you through setting up a fully private, local LLM for coding on your own hardware. From model selection and hardware planning to IDE integration with Ollama and Continue.dev, you’ll build an AI coding stack where no code ever leaves your machine.

Best AI Coding Agents in 2026: The Complete Beginner’s Guide

Updated February 22, 2026 by Rana Ahsan Leave a Comment ⏰ 13 minutes

Best AI Coding Agents

The best AI coding agents in 2026 don’t just autocomplete your lines — they plan, execute, and debug entire features autonomously. Whether you’re a weekend hacker or a seasoned engineer, this guide breaks down Google Antigravity, Claude Code, OpenAI Codex, OpenCode, and KiloCode so you can pick the right tool and ship faster.

Add Memory to AI Agent: Python Tutorial for Beginners

Updated January 21, 2026 by Rana Ahsan Leave a Comment ⏰ 16 minutes

Add Memory To AI Agents

Discover how to add memory to AI agent systems using pure Python—no frameworks required. This hands-on tutorial walks you through building short-term conversation tracking and long-term persistent storage, transforming stateless chatbots into context-aware assistants that actually remember your conversations and preferences across sessions.

Model Context Protocol For Beginners: Superpower of AI Agents

Updated January 8, 2026 by Rana Ahsan Leave a Comment ⏰ 11 minutes

MCP For Beginners

Model Context Protocol (MCP) is Anthropic’s open standard that lets AI agents securely access your tools, databases, and APIs. Think of it as USB-C for AI—one universal protocol connecting language models to everything they need to actually get work done in your environment.

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