Chapters (28)
- 0:00Introduction to AI-Assisted Development
- 0:42Core Fundamentals: Tokens, Context Windows, and Hallucinations
- 5:48When to Use AI vs. When to Code Manually
- 6:57Setting Up GitHub Copilot in VS Code
- 9:42Copilot Pricing and Plans
- 10:18First Steps: Ghost Text and Code Completions
- 13:40Pro Tip: The Neighboring Tabs Trick
- 15:52Practice Exercise: Building a To-Do App
- 17:15Interaction Modes: Ask, Edit, and Agent Mode
- 21:44Agent Mode: Building a Full REST API Autonomously
- 24:52Repository Customization with Instruction Files
- 26:34Using Participants and Slash Commands
- 28:34Automated Code Reviews with CodeRabbit
- 30:57Setting Up CodeRabbit for GitHub Repositories
- 32:03Simulating Real-World PR Reviews and Security Fixes
- 37:33Chatting with AI Directly in Pull Requests
- 41:12Configuring CodeRabbit Behaviors (.yaml)
- 41:58Local Reviews via the CodeRabbit CLI
- 48:13Powerful Terminal AI: Claude Code vs. Gemini CLI
- 49:12Claude Code: Reasoning, Thinking Modes, and Fixes
- 53:02Gemini CLI: Million-Token Context and Multimodal Features
- 57:01OpenClaw: Your Open-Source Personal AI Assistant
- 1:01:01Automating Tasks with Cron Jobs and Desktop Actions
- 1:03:33Orchestrating Your AI Workflow
- 1:08:27Model Context Protocol (MCP): Giving AI Real-World Tools
- 1:12:40AI Code Quality and Security Essentials
- 1:15:03The Formula for Better Prompt Engineering
- 1:16:13Course Recap and Final Resources
Show the creator's full description
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-to-become-an-expert-in-ai-assisted-coding-a-handbook-for-developers/
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
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