
Year of manufacture: 10/2025
Manufacturer: Udemy
Manufacturer’s website: https://www.udemy.com/course/ai-driven-development-with-claude-code-cli-and-opencode/
Author: Arbi Elezi
Duration: ~1h50m
Type of material distributed: Video lesson
Language: English
- 1.25 GB
Description: n this course, you’ll get hands-on experience with AI-driven development. We’ll cover the essential commands for both Claude Code CLI and OpenCode, and walk you through what it’s really like to develop and debug projects using vibe-coding. You’ll watch a complete project get built from scratch without writing a single line of code.
You’ll learn how to talk to AI tools effectively, communicate your project ideas clearly, and debug AI-generated code like a pro. We’ll explore how to make smart architecture decisions, refine your work through iterations, and maintain codebases built by AI. You’ll also discover time-saving shortcuts and workflow optimisations that experienced AI developers use daily.
Through real-world demos, you’ll see the entire journey-from a rough idea to a working app-using just natural language. We’ll cover setting up your dev environment, handling version control with AI help, building complex features through conversation, and fixing common problems.
By the end, you’ll be comfortable with AI-powered workflows that seriously boost your productivity. Whether you’re an experienced dev wanting to level up or someone new to coding looking for an easier way in, this course gives you the practical skills to make AI your coding superpower. You will also learn how to use AI CLI tools as background services.
Content:
Introduction
2:00
Episode 1: Theoretical Introduction to Claude Code
21:28
Episode 2: Planning and Developing a Calendar-based TODO app with Claude Code
14:26
Episode 3: Diving down in resolving bugs, and polishing the Frontend of TODO app
35:54
Episode 4: Using OpenCode do develop the Node.js backend with Docker config
37:05
Example files: not provided
Video format: AVI
Video: AVC, 1920×1080, 16:9, 30fps, ~2000kbps
Audio: AAC, 44.1kHz, 62kbps, stereo


