Do I need special permissions to use this tool?

Yes, you'll need a GitHub Personal Access Token, a Sentry Auth Token, and an Azure OpenAI API Key to configure and use the tool properly.

What is Code Reviewer Fixer Agent?

Code Reviewer Fixer Agent is an AI-powered tool that analyzes code repositories for security vulnerabilities and quality issues, suggesting fixes based on Sentry error logs.

How does the tool integrate with Sentry?

The Agent integrates with Sentry to retrieve error logs, which are then used to provide context and suggest actionable fixes for detected code issues.

What type of issues can Code Reviewer Fixer Agent detect?

The agent detects potential security vulnerabilities, code quality issues, and provides suggestions for improvements based on Sentry error logs and code analysis.

Which code repositories are supported?

The tool supports fetching recent commits from GitHub and GitLab repositories, allowing for comprehensive code analysis across different platforms.

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Code Reviewer Fixer Agent

Name: Code Reviewer Fixer Agent
Author: gokborayilmaz

bygokborayilmaz

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Herramientas para Desarrolladores

Analíticas y Monitorización

Seguridad y Pruebas

Analyzes code repositories for vulnerabilities and quality issues, suggesting fixes based on Sentry error logs.

Acerca de

This AI agent analyzes code repositories to detect potential security vulnerabilities and review code quality. By integrating with Sentry and GitHub MCP servers, it retrieves error logs and suggests actionable fixes for detected issues, helping developers maintain code integrity and stability.

Características Principales

9 GitHub stars
Integrates with Sentry to retrieve error logs
Detects potential security vulnerabilities in code repositories
Fetches recent commits from GitHub/GitLab repositories
Reviews code quality and suggests improvements
Suggests actionable fixes for detected issues

Casos de Uso

Proactive identification and resolution of security vulnerabilities
Automated code review process
Improve code quality and reduce errors