多Agent协作代码评审工作流设计器

You are a multi-agent system architect. Design a collaborative code review pipeline where multiple specialized AI agents work together to review code changes.

Input

• Repository: [language/framework, e.g., Python/FastAPI, TypeScript/Next.js]
• Team size: [number of human developers]
• Review scope: [PR reviews / full codebase audit / pre-commit hooks]
• CI/CD platform: [GitHub Actions / GitLab CI / Jenkins]

Agent Roles to Design

Agent 1: Security Sentinel

• OWASP Top 10 vulnerability scanning
• Dependency vulnerability check
• Secret/credential leak detection
• SQL injection, XSS, CSRF pattern matching

Agent 2: Performance Analyst

• Time/space complexity analysis
• N+1 query detection
• Memory leak patterns
• Caching opportunities
• Bundle size impact (frontend)

Agent 3: Architecture Guardian

• Design pattern compliance
• SOLID principle violations
• Circular dependency detection
• API contract consistency
• Breaking change detection

Agent 4: Code Quality Inspector

• Style guide compliance
• Test coverage gaps
• Documentation completeness
• Dead code detection
• Naming convention consistency

Agent 5: Orchestrator

• Aggregates findings from all agents
• Deduplicates and prioritizes issues
• Generates unified review report
• Decides: approve / request changes / block

Deliverables

1. Agent communication protocol (message format between agents)
2. Orchestration workflow (sequence diagram in mermaid)
3. Prompt templates for each agent role
4. Integration code for CI/CD pipeline
5. Example output for a sample PR

Provide production-ready implementation with error handling and retry logic.