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ai-agent

gemini-ai-code-reviewer: Automated Code Review

Get automated pull request reviews with gemini-ai-code-reviewer. For startup founders using GitHub.
intermediateโฑ 30 minutes๐Ÿ’ต Free
250 stars56 forksPythonQuality 8/10Updated 12/16/2025100% free ยท open source
What it is

Automatically reviews code changes in GitHub pull requests

What you can make with it

Automations like: when code changes are made, a review comment appears suggesting improvements using Google's Gemini AI

How it helps

It helps catch potential bug and security issues in code, reducing the workload of developers and improving code quality

Real use case example

"A developer named Alex is working on a project with their team. They use the Gemini-Code-Reviewer skill to set up an automated code review on their GitHub pull requests. Whenever someone opens a pull request, the skill automatically checks the code and adds a review comment suggesting improvements using Google's Gemini AI. This helps catch mistakes early on and speeds up the review process, saving the team hours of work per week."

If you're new

Beginners should learn this skill if they want to automate code reviews in GitHub without writing custom scripts

If you're senior

Senior developers and engineers will reach for this skill when they need to integrate AI-powered code review into their existing GitHub workflows

Common confusion cleared up

While this skill relies on Google's Gemini AI, it requires no additional APIs or credentials beyond a standard GitHub setup

Best inside these AI tools
GitHub CopilotGemini Code Assist
Pairs with
Stripe webhookNotion database
Why we list it on WorkflowStacks: This skill is free, open-source, and integrates with GitHub, making it a valuable addition to the marketplace
What it does

Gemini-ai-code-reviewer is a GitHub Action that automatically reviews pull requests using Google's Gemini AI to provide instant feedback on code quality and best practices.

Install / run
To get started, create a new GitHub Actions workflow by creating a `.yml` file in your repository's `.github/workflows` directory
When to use it
  • โ€ขWhen you need to ensure consistency in code quality across your team
  • โ€ขWhen you want to automate the initial review process for pull requests
  • โ€ขWhen you're looking for a tool to help enforce coding standards and best practices
Quick start
  1. 1Create a new file in your repository's `.github/workflows` directory, e.g., `.github/workflows/gemini-ai-code-reviewer.yml`
  2. 2Copy the example workflow configuration from the README into your new file, which includes the `uses: truongnh1992/gemini-ai-code-reviewer@v1` action
  3. 3Configure the `github_token` and `gemini_api_key` inputs in your workflow file to authenticate with GitHub and Google's Gemini AI
  4. 4Commit and push your changes to trigger the workflow and start receiving automated pull request reviews
  5. 5Review the output of the workflow run to see the results of the automated code review
Ready-to-paste prompt
To use the gemini-ai-code-reviewer with a specific pull request, you can trigger the workflow manually by clicking the 'Run workflow' button on the GitHub Actions page and selecting the desired pull request as the `GITHUB_CONTEXT`
Heads up: Before using the gemini-ai-code-reviewer, you need to obtain a Google Cloud API key for the Gemini AI service and store it as a secret in your GitHub repository, which can be done by going to the Google Cloud Console and following the instructions to create a new API key
Saves to your device

Topics

gemini
gemini-api
google-gemini-ai
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

6
top-level files
3
folders
1.4M
repo size
MIT
license
Key files
README.md
requirements.txt
File tree
.github/
assets/
gemini_reviewer/
.gitignore
action.yml
LICENSE
README.md
requirements.txt
review_code_gemini.py
Quick Actions
Details
Creator
truongnh1992
Language
Python
Category
ai-agent
Published
10/25/2024

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