Overview
This workflow integrates Anthropic Claude into a GitHub Actions or GitLab CI pipeline to automatically review pull requests. Claude analyzes code changes for bugs, security vulnerabilities, performance issues, and style consistency — providing actionable inline comments and a summary report.
Pipeline Stages
- Trigger: Pipeline runs on every pull request or push to protected branches.
- Diff Extraction: Extract changed files and diff content from the PR metadata.
- Context Gathering: Collect repository-level context — coding standards, architecture docs, and recent related PRs.
- AI Review: Claude analyzes each changed file for bugs, readability, security flaws, and architectural consistency.
- Report Generation: Produce structured review comments posted as inline PR annotations and a summary report.
- Approval Gate (Optional): Block merge if critical issues are detected.
Configuration Options
- Review Depth: Shallow (syntax + style) or Deep (logic + security + architecture).
- Ignore Patterns: Skip generated files, migrations, or test fixtures.
- Severity Threshold: Only report issues above a configurable severity level (info/warning/critical).
- Auto-Fix Suggestions: Claude can generate suggested code patches alongside each finding.
Tools Required
- Anthropic API key (Claude 3.5 Sonnet or Claude Opus)
- GitHub Actions or GitLab CI
- Python 3.10+ with anthropic SDK
- Optional: Linear / Jira integration for ticket referencing
Use Cases
- Enforcing code quality standards across distributed teams
- Reducing manual review time in high-velocity CI/CD pipelines
- Catching security vulnerabilities before they reach production
- Onboarding new developers with consistent, educational review feedback
- Maintaining architectural consistency in monorepo environments