Build with AI: Developing a Code Review Assistant

Use AI assistant tools to create a review bot from scratch

Learning Objectives • Labs • Resources •

Introduction

Welcome to the "Developing a Code Review Bot" course! This course will guide you through the process of building your own AI-powered code review bot using GitHub Actions. You'll learn how to automate code reviews, leverage Large Language Models (LLMs) for development, and create a valuable tool to improve your development workflow.

Learning Objectives

By the end of this course, you will be able to:

• Understand the fundamentals of GitHub Actions.
• Leverage Large Language Models (LLMs) for code analysis and feedback.
• Build a functional code review bot from scratch.
• Define and implement custom review criteria and standards.
• Test and refine your bot for optimal performance.
• Publish your bot to the GitHub Marketplace.

What You'll Build

You will build a GitHub Action that acts as a code review bot. This bot will:

• Analyze pull requests in your repositories.
• Provide intelligent feedback and suggestions based on your defined criteria.
• Help you maintain code quality and consistency.
• Automate the code review process to save you time and effort.

Labs

This course includes a series of labs to provide you with hands-on experience. Each lab corresponds to a lesson and will guide you through the practical steps of building your code review bot.

• Lab 1: Introduction to Code Review Automation
• Lab 2: Planning Your Code Review Bot
• Lab 3: Building the Core Action
• Lab 4: Advanced Bot Features
• Lab 5: Testing and Validation

Resources

Use the following tools and resources to enhance your experience when working with this course

• Gemini CLI
• Claude Code
• GitHub Copilot
• AWS Kiro
• Amazon Bedrock AgentCore