A GitHub bot that automatically reviews pull requests using ChatGPT to provide AI-powered code feedback.
ChatGPT-CodeReview is a GitHub bot that uses ChatGPT to automatically review code in pull requests. It analyzes code changes and provides feedback on potential issues, improvements, and code quality directly within GitHub's interface. The tool helps developers catch problems early by adding AI-powered code review capabilities to their workflow.
Development teams using GitHub who want to automate initial code reviews and maintain consistent code quality standards. It's particularly useful for teams with limited review bandwidth or those seeking to supplement human reviews with AI analysis.
Developers choose ChatGPT-CodeReview because it provides immediate, consistent code feedback without waiting for human reviewers. It supports multiple deployment options including GitHub Apps, GitHub Actions, and self-hosting, offering flexibility for different team needs and infrastructure preferences.
🐥 A code review bot powered by ChatGPT
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Uses ChatGPT to automatically analyze pull requests, providing immediate feedback on code quality and issues, as demonstrated in the example pull request #21.
Supports GitHub App, GitHub Action, and self-hosting with Docker or PM2, allowing teams to choose integration based on their infrastructure.
Configurable settings for model selection, temperature, token limits, and language, enabling tailored reviews for specific project needs.
Allows ignoring or including files using glob/regex patterns (e.g., /node_modules/**/*), ensuring reviews focus on relevant code changes.
The public bot has ratelimit restrictions leading to unstable performance, and API usage incurs costs that can scale with review frequency.
Relies on OpenAI or Azure APIs, introducing latency, potential downtime, and the need to manage API keys and quotas.
Self-hosting requires manual configuration of environment variables, Docker builds, or PM2 management, which can be challenging for non-expert users.
Limited to GitHub ecosystems, so it cannot be used with other version control systems like GitLab or Bitbucket.