Version updated for https://github.com/sibinms/argus to version v1.2.28. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is an AI code review tool that optimizes recall to find more real bugs while keeping false positives manageable. It runs multiple specialized AI reviewers in parallel and uses an evidence-based curator to verify findings before posting review comments on GitHub pull requests. The planner briefs every reviewer up front, lenses focus on specific problem domains, and the curator merges duplicates and only dismisses issues with cited quotes from the diff.

Version updated for https://github.com/sibinms/argus to version v1.2.25. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is a GitHub Action that automates code review by running multiple specialized AI reviewers in parallel and using an evidence-based curator to verify findings before posting review comments on pull requests. It optimizes for recall instead of precision, ensuring more real bugs are caught while minimizing false positives. The action supports various LLMs and provides markdown-based custom lenses for tailored reviews.

Version updated for https://github.com/sibinms/argus to version v1.2.21. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is an AI-driven code review tool that leverages multiple specialized AI reviewers to identify potential issues in a pull request. It uses an evidence-based curator to verify findings and only dismisses them if they can be substantiated with code from the diff, ensuring high recall and manageable false positives. The tool supports various LLM providers and allows for customization through Markdown-based lenses.

Version updated for https://github.com/sibinms/argus to version v1.2.4. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is a GitHub Action that automates the process of code reviews using AI. It runs multiple specialized AI reviewers in parallel, providing a more comprehensive view than relying on a single model. The action uses an evidence-based curator to verify findings before posting review comments on pull requests, ensuring only valid issues are highlighted. This approach helps in finding more real bugs while minimizing false positives.

Version updated for https://github.com/sibinms/argus to version v1.2.3. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is an AI code review tool that optimizes for recall by running multiple specialized AI reviewers in parallel. It uses an evidence-based curator to verify findings before posting review comments on pull requests, helping developers identify more real bugs while keeping false positives manageable. The action supports various LLM providers and allows users to create custom lenses using Markdown.

Version updated for https://github.com/sibinms/argus to version v1.2.2. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Argus is an AI PR reviewer that uses multiple narrow lenses to suggest potential issues and one curator to decide which ones are real. It automates the detection of bugs and security vulnerabilities in pull requests by analyzing them with various models from Anthropic, OpenAI, or other providers. The action integrates seamlessly into GitHub workflows for automated review without requiring separate configuration steps after initial setup.