Local AI Coding - Full Tutorial 2026: No Enterprise Hardware Required

Mikey No Code · Beginner ·🧠 Large Language Models ·4mo ago

Key Takeaways

Demonstrates local AI coding using Base44, without requiring enterprise hardware

Original Description

✅ Claim your FREE $499 Masterclass: Build & Sell Apps, AI Agents & Websites with AI https://mikeyno-code.com/Skool-base44 ✅ Best AI Coding Tool is Base44 https://base44.pxf.io/c/6440076/2477538/25619?trafcat=hp&sharedid=video85newx 🔵 Get the FREE App Store Submission Checklist (step by step): https://mikeys-5-min-checklist.netlify.app 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 For inquiries: Mikey (at) ytmedia.group
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

Chapters (12)

Intro: Build a Local AI Coding Environment
1:34 What is Ollama? Open-Source Local LLM Runner
2:51 Downloading Qwen 2.5-coder for Private Projects
3:30 Testing Local AI Models via Terminal Interface
4:22 VS Code Setup: Installing the Continue Extension
5:31 Configuring Continue with Ollama for Private Coding
6:15 First Script: Generating Python Code Locally
8:05 Understanding & Modifying Existing Codebases
9:12 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
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →