AI Coding Tutorial 2026: Build Apps Without Hardware

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In this video, I walk you through a full tutorial on how to run AI coding locally in 2026 without needing any enterprise hardware using Ollama. You'll learn how large language models (LLMs) power tools like Claude Code, ChatGPT, and Gemini CLI in your local setup, how machine learning and artificial intelligence work behind the scenes to help you write better code, and how automation can speed up your entire workflow. Whether you're just getting into coding with AI, experimenting with LLMs, or looking to ditch expensive cloud setups, this guide covers everything you need to get started.

00:00 - Intro: Build a Local AI Coding Environment
01:34 - What is Ollama? Open-Source Local LLM Runner
02:51 - Downloading Qwen 2.5-coder for Private Projects
03:30 - Testing Local AI Models via Terminal Interface
04:22 - VS Code Setup: Installing the Continue Extension
05:31 - Configuring Continue with Ollama for Private Coding
06:15 - First Script: Generating Python Code Locally
08:05 - Understanding & Modifying Existing Codebases
09:12 - Web Development: Build Websites from Scratch with AI
10:11 - Stress Test: Multi-Language Support (Rust, Go, Ruby)
12:01 - Local vs. Cloud: Privacy, Cost, & Performance
14:20 - Final Walkthrough & Shipping Your AI Creation

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