AI-Assisted Coding Tutorial – OpenClaw, GitHub Copilot, Claude Code, CodeRabbit, Gemini CLI

Learn how to use AI tools to become more productive as a developer. You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis. Some of this course is based on this article from Mrugesh Mohapatra: https://www.freecodecamp.org/news/how... CodeRabbit provided a grant to make this course possible. Try out CodeRabbit: https://coderabbit.link/fcc Contents 0:00:00 Introduction to AI-Assisted Development 0:00:42 Core Fundamentals: Tokens, Context Windows, and Hallucinations 0:05:48 When to Use AI vs. When to Code Manually 0:06:57 Setting Up GitHub Copilot in VS Code 0:09:42 Copilot Pricing and Plans 0:10:18 First Steps: Ghost Text and Code Completions 0:13:40 Pro Tip: The Neighboring Tabs Trick 0:15:52 Practice Exercise: Building a To-Do App 0:17:15 Interaction Modes: Ask, Edit, and Agent Mode 0:21:44 Agent Mode: Building a Full REST API Autonomously 0:24:52 Repository Customization with Instruction Files 0:26:34 Using Participants and Slash Commands 0:28:34 Automated Code Reviews with CodeRabbit 0:30:57 Setting Up CodeRabbit for GitHub Repositories 0:32:03 Simulating Real-World PR Reviews and Security Fixes 0:37:33 Chatting with AI Directly in Pull Requests 0:41:12 Configuring CodeRabbit Behaviors (.yaml) 0:41:58 Local Reviews via the CodeRabbit CLI 0:48:13 Powerful Terminal AI: Claude Code vs. Gemini CLI 0:49:12 Claude Code: Reasoning, Thinking Modes, and Fixes 0:53:02 Gemini CLI: Million-Token Context and Multimodal Features 0:57:01 OpenClaw: Your Open-Source Personal AI Assistant 1:01:01 Automating Tasks with Cron Jobs and Desktop Actions 1:03:33 Orchestrating Your AI Workflow 1:08:27 Model Context Protocol (MCP): Giving AI Real-World Tools 1:12:40 AI Code Quality and Security Essentials 1:15:03 The Formula for Better Prompt Engineering 1:16:13 Course Recap and Final Resources