Version updated for https://github.com/KonstZiv/ai-code-reviewer to version v1.0.0b13. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AI ReviewBot is a GitHub Action that leverages advanced AI models like Google Gemini or Mistral to analyze and provide intelligent feedback directly in pull requests (PRs) and merge requests (MRs). It automates code review tasks by automatically identifying potential issues, suggesting improvements, and applying fixes with a one-click “Apply” button. The action also highlights security vulnerabilities and best practices, providing transparency on tokens used for analysis and cost estimation. AI ReviewBot supports both GitHub and GitLab platforms and is customizable via configuration files.

Version updated for https://github.com/KonstZiv/ai-code-reviewer to version v1.0.0b13. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AI ReviewBot is an AI-powered code review tool that automates the process of analyzing and commenting on code in GitHub and GitLab. It uses Google Gemini or Mistral AI to identify vulnerabilities, suggest improvements, and highlight good practices with inline suggestions that can be applied directly within PRs or MRs. The tool provides transparent metrics such as tokens used, latency, and estimated cost, helping developers understand the impact of their changes before merging into the main branch.

Version updated for https://github.com/KonstZiv/ai-code-reviewer to version v1.0.0b13. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AI ReviewBot is a GitHub Action that uses AI to provide intelligent code review feedback directly within pull requests and merge requests. It analyzes your repository’s code, identifies vulnerabilities, provides inline suggestions, and highlights good practices. The action automatically discovers the project’s languages, frameworks, and CI pipeline to avoid duplication of feedback. You can customize its behavior with environment variables such as discovery settings and API keys for AI providers like Google Gemini or Mistral.