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Code Review Crew for GitHub Pull Request

Welcome to the CodeReviewCrewForGithubPullRequest project, powered by crewAI. This project sets up a multi-agent AI system designed to perform comprehensive code reviews for GitHub pull requests.

Project Overview

This crew consists of two main agents:

  1. Quick Review Assistant: Provides rapid initial assessments of code changes and identifies basic patterns and potential issues in pull requests.
  2. Code Review Expert: Analyzes code changes in detail and provides comprehensive review reports highlighting code quality issues and suggestions for improvements.

Key Features

  • Automated code analysis for GitHub Pull Requests
  • Identification of related files and potential impacts
  • Analysis of historically related Pull Requests
  • Generation of detailed, markdown-formatted code review comments

Installation

Ensure you have Python >=3.10 <=3.13 installed. This project uses UV for dependency management. Follow the installation guide for CrewAI.

Next, navigate to your project directory and install the dependencies:

(Optional) Lock the dependencies and install them by using the CLI command:

crewai install
  • Add your OPENAI_API_KEY to the .env file as we use gpt-4o-mini to perform fetching PRs, files, etc.
  • Add your ANTHROPIC_API_KEY to the .env file - this project uses Anthropic's models for code review.

Configuration

  • src/code_review_crew_for_github_pull_request/config/agents.yaml: Define agent roles and configurations
  • src/code_review_crew_for_github_pull_request/config/tasks.yaml: Specify tasks for code review process
  • src/code_review_crew_for_github_pull_request/crew.py: Customize logic, tools, and arguments
  • src/code_review_crew_for_github_pull_request/main.py: Add custom inputs for agents and tasks

Usage

Run the code review crew:

crewai run

This command initializes the crew, assigns tasks, and generates a comprehensive code review report.

Task Workflow

  1. Analyze Code Changes: Evaluate modified files for quality issues and suggest improvements
  2. Find Related PRs: Search for and analyze previous related pull requests
  3. Analyze Related Files: Identify and analyze files functionally or logically related to the changes
  4. Generate Review Comment: Synthesize insights into a comprehensive code review comment

Support

For support or questions:

Leverage the power of AI for efficient and thorough code reviews with this crew!