Code Review workflow

Code Review workflow automates the code review process on GitHub by triggering on pull requests, fetching file diffs, and generating AI-driven review comments. It enhances collaboration by providing inline feedback, adding a "ReviewedByAI" label, and referencing coding best practices from Google Sheets, ensuring high-quality code submissions efficiently.

7/8/2025
14 nodes
Medium
manualmediumlangchaingithubtriggergithubgooglesheetstoolsticky noteadvancedapiintegration
Categories:
Manual TriggeredData Processing & AnalysisTechnical Infrastructure & DevOpsMedium Workflow
Integrations:
LangChainGithubTriggerGitHubGoogleSheetsToolSticky Note

Target Audience

  • Software Developers looking for efficient code review processes.
    - Team Leads wanting to automate feedback loops in pull requests.
    - DevOps Engineers interested in integrating AI into their CI/CD pipelines.
    - Project Managers aiming for faster code quality assessments and team productivity.
    - Open Source Contributors needing quick reviews on their contributions.

    • Problem Solved

    This workflow automates the code review process by leveraging AI to analyze pull request diffs and generate meaningful feedback. It eliminates the need for manual reviews, significantly reducing the time taken for code evaluations and enhancing code quality through consistent feedback.

    Workflow Steps

  • Trigger: The workflow is initiated manually or through a GitHub pull request event.
    - Fetch Diffs: It retrieves the list of changed files and their diffs from the pull request using the GitHub API.
    - Generate Prompt: A custom JavaScript code formats the diffs into a structured prompt for the AI.
    - AI Review: The AI analyzes the prompt and generates inline comments on the code changes.
    - Post Comments: The generated comments are posted as feedback on the pull request in GitHub.
    - Labeling: Optionally, a label like ReviewedByAI is added to the pull request to indicate that it has been reviewed by the AI.
    - Best Practices: The AI can reference coding guidelines stored in Google Sheets to enhance the review quality.

    • Customization Guide

  • Modify GitHub Repository: Change the repository and owner parameters in the PR Trigger node to match your project.
    - Adjust AI Model: Update the model parameter in the OpenAI Chat Model node to use a different AI model if desired.
    - Change Prompt Structure: Customize the JavaScript code in the Create target Prompt from PR Diffs node to alter how the prompt is structured.
    - Integrate Other Tools: You can replace or add other integrations, such as different databases or tools for coding best practices.
    - Customize Labels: Edit the label in the Add Label to PR node to reflect your team's conventions.