Code Review, Automated Fixes and Pull Request Governance with AI

Master modern tools for automating code review and managing PRs using artificial intelligence. Learn to integrate GitHub Copilot, CodeRabbit, SonarQube, and more into your workflow.

All Levels 16 hours Free

Start the Track — Free

What You'll Learn

Understanding Modern Code Review Principles and AI

Learn the fundamentals of AI-powered code review and how modern practices differ from traditional approaches.

Configure and Run Automated Fix Tools

Master tools like Copilot, CodeRabbit, and Sonar to automatically detect and fix code issues at scale.

Efficient Pull Request Management with Bots

Implement GitHub Actions, GitLab CI/CD, and automation bots to streamline PR workflows and governance.

Apply Best Practices for Code Governance and QA Automation

Implement industry standards for code quality, security, and automated testing across your organization.

Curriculum

Module 1

Foundations of Code Review in the Age of AI

90 minutes

What is code review and why it matters in modern development
Challenges with manual code review
How AI transforms the review process
Leading AI tools and platforms overview

Module 2

GitHub Copilot and Automated Code Review

120 minutes

Setting up Copilot in your development environment
Using Copilot to identify bugs and vulnerabilities
Copilot Pull Request Reviews — features and capabilities
Integration with GitHub Checks

Module 3

CodeRabbit — Intelligent Pull Request Review

120 minutes

What is CodeRabbit and when to use it
Configuration and customization of CodeRabbit
Automated review of changes
Managing comments and fix suggestions
Reports and analytics

Module 4

SonarQube and Advanced Code Quality Analysis

120 minutes

Code quality analysis with SonarQube
Detecting and reporting security issues
SonarQube automatic fix techniques
Integration with CI/CD pipelines
Reports and dashboards

Module 5

GitHub Actions and Bots for Pull Request Governance

120 minutes

Writing workflows for automated code review
Bots for automatic PR management
Merge strategies and GitHub automation
Review requests and reviewer assignment
Auto-approve and auto-merge workflows

Module 6

GitLab CI/CD and Quality Governance

90 minutes

GitLab features for code review
Merge Request Approvals
Splitting tests between bots and humans
PR reports and analysis

Module 7

Best Practices and Hands-On Training

90 minutes

Hands-on: setting up complete AI-powered review
Code governance and security
Ethics and naturalness of AI in review
Reducing review time while maintaining quality
Troubleshooting common issues

Module 8

Final Project — Real-World Implementation

120 minutes

Choosing the right tools for your project
Complete pipeline setup
Testing and validation of changes
Documentation and team training
Presentation and summary

Frequently Asked Questions

Do I need prior programming experience?

Yes, it's recommended that you have basic familiarity with Git and GitHub/GitLab. The course is suitable for all development levels.

Are the tools free?

Some tools are free (GitHub, GitLab) and others offer free trial versions (CodeRabbit, SonarQube). We'll use trial versions throughout the course.

What's the difference between CodeRabbit and Copilot?

Copilot is an editor-focused tool for code generation and assistance, while CodeRabbit specializes in PR review. Both complement each other in a complete workflow.

How long does implementation take at a company?

Typically 2–4 weeks for installation and configuration, depending on team size and complexity.

Can AI replace manual code review?

Not completely. AI improves the process, but human review remains essential for validation and business logic verification.

Do these tools support other programming languages?

Yes! Most tools support Python, JavaScript, Java, Go, Rust, and many other languages.

Ready to Master Code Review Automation?

Join engineers and teams worldwide who are streamlining their code review process with AI-powered tools.

Start Learning Today — Free