danger/danger

Features

• Automated Code Review - Runs automated checks on pull requests during CI to enforce team norms and provide feedback without manual review.
• Pull Request Automation - Automates code review checks and enforces team norms by running custom rules against pull request metadata and changes.
• Metadata Extraction Tools - Examines structured details of pull requests such as title, body, author, and branch names for automated analysis.
• Metadata Inspection Tools - Exposes structured pull request metadata like title, body, author, and branch names for automated rule evaluation.
• PR Commenting Tools - Posts review results as a single dynamic comment on the pull request, updating it in place as checks pass or fail during CI.
• Runtime Platform Detectors - Detects the active code review platform at runtime to adapt behavior across multiple git hosts.
• Automated PR Commenting - Posts automated review comments on pull requests with results from Danger checks directly in the code review interface.
• Programmatic Diff Parsers - Parses git diffs and commit metadata to expose changed files, line additions, and deletions as structured data for rule evaluation.
• Git Hosting Platforms - Connects with GitHub, GitLab, Bitbucket Cloud, and Bitbucket Server using host-specific API tokens and endpoints.
• Plugin Systems - Extends Dangerfile logic with reusable plugins that have full access to all Dangerfile methods and attributes.
• Policy Enforcement Rules - Enforces team-defined policies on pull request metadata like changelogs, issue links, and labels during CI.
• Pull Request Evaluation Pipelines - Runs as a build step inside a CI pipeline, evaluating a Dangerfile against pull request metadata and posting results back to the code review platform.
• Ruby CI Review Executors - Executes automated code review checks during CI by running Danger's Ruby gem against pull request changes.
• Ruby Gem CI Executors - Executes automated code review checks during CI by running Danger's Ruby gem against pull request changes.
• CI Integrations - Connects with continuous integration systems and peer review platforms to execute checks and post results.
• DSL Extension Loaders - Extends a core Ruby DSL by loading external gems that inject new methods and attributes into the Dangerfile evaluation context.
• Git Change Trackers - Parses git diffs and commit metadata to expose changed files as structured data for rule evaluation.
• Git Hosting Services - Configures host-specific API tokens and endpoints to connect with GitHub, GitLab, Bitbucket Cloud, or Bitbucket Server.
• API Abstraction Layers - Wraps GitHub, GitLab, and Bitbucket APIs behind a unified interface that resolves host-specific endpoints and authentication at runtime.
• Automated Code Review - Automates common code review chores by running user-defined Ruby rules during CI and posting results as PR messages.
• Interactive REPLs - Opens a Pry-based interactive shell inside the Dangerfile evaluation to inspect variables, plugin state, and messaging step by step.
• Dangerfile Plugin Wrappers - Wraps reusable Dangerfile logic into a plugin that has full access to all Dangerfile methods and attributes.
• Swift Code Review Rules - Writes automated code review rules in Swift instead of Ruby, using the same Danger plugin system.
• Code Review Plugin Kits - Wraps reusable Dangerfile logic into plugins with full access to all Dangerfile methods and attributes.
• Git Host Platform Detectors - Checks which platform plugin is loaded so a single plugin adapts behavior across GitHub, GitLab, and other hosts.
• Plugin Extenders - Adds reusable, sharable plugins that expose new methods and data to the Dangerfile for custom review rules.
• Automation and Workflow - Automates conventions and checks during code reviews.

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