MCP Server Trello

# Code Review Swarm - Automated Code Review with AI Agents ## Overview Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. ## Core Features ### 1. Multi-Agent Review System ```bash # Initialize code review swarm with gh CLI # Get PR details PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body) PR_DIFF=$(gh pr diff 123) # Initialize swarm with PR context npx ruv-swarm github review-init \ --pr 123 \ --pr-data "$PR_DATA" \ --diff "$PR_DIFF" \ --agents "security,performance,style,architecture,accessibility" \ --depth comprehensive # Post initial review status gh pr comment 123 --body "🔍 Multi-agent code review initiated" ``` ### 2. Specialized Review Agents #### Security Agent ```bash # Security-focused review with gh CLI # Get changed files CHANGED_FILES=$(gh pr view 123 --json files --jq '.files[].path') # Run security review SECURITY_RESULTS=$(npx ruv-swarm github review-security \ --pr 123 \ --files "$CHANGED_FILES" \ --check "owasp,cve,secrets,permissions" \ --suggest-fixes) # Post security findings if echo "$SECURITY_RESULTS" | grep -q "critical"; then # Request changes for critical issues gh pr review 123 --request-changes --body "$SECURITY_RESULTS" # Add security label gh pr edit 123 --add-label "security-review-required" else # Post as comment for non-critical issues gh pr comment 123 --body "$SECURITY_RESULTS" fi ``` #### Performance Agent ```bash # Performance analysis npx ruv-swarm github review-performance \ --pr 123 \ --profile "cpu,memory,io" \ --benchmark-against main \ --suggest-optimizations ``` #### Architecture Agent ```bash # Architecture review npx ruv-swarm github review-architecture \ --pr 123 \ --check "patterns,coupling,cohesion,solid" \ --visualize-impact \ --suggest-refactoring ``` ### 3. Review Configuration ```yaml # .github/review-swarm.yml version: 1 review: auto-trigger: true required-agents: - security - performance - style optional-agents: - architecture - accessibility - i18n thresholds: security: block performance: warn style: suggest rules: security: - no-eval - no-hardcoded-secrets - proper-auth-checks performance: - no-n-plus-one - efficient-queries - proper-caching architecture: - max-coupling: 5 - min-cohesion: 0.7 - follow-patterns ``` ## Review Agents ### Security Review Agent ```javascript // Security checks performed { "checks": [ "SQL injection vulnerabilities", "XSS attack vectors", "Authentication bypasses", "Authorization flaws", "Cryptographic weaknesses", "Dependency vulnerabilities", "Secret exposure", "CORS misconfigurations" ], "actions": [ "Block PR on critical issues", "Suggest secure alternatives", "Add security test cases", "Update security documentation" ] } ``` ### Performance Review Agent ```javascript // Performance analysis { "metrics": [ "Algorithm complexity", "Database query efficiency", "Memory allocation patterns", "Cache utilization", "Network request optimization", "Bundle size impact", "Render performance" ], "benchmarks": [ "Compare with baseline", "Load test simulations", "Memory leak detection", "Bottleneck identification" ] } ``` ### Style & Convention Agent ```javascript // Style enforcement { "checks": [ "Code formatting", "Naming conventions", "Documentation standards", "Comment quality", "Test coverage", "Error handling patterns", "Logging standards" ], "auto-fix": [ "Formatting issues", "Import organization", "Trailing whitespace", "Simple naming issues" ] } ``` ### Architecture Review Agent ```javascript // Architecture analysis { "patterns": [ "Design pattern adherence", "SOLID principles", "DRY violations", "Separation of concerns", "Dependency injection", "Layer violations", "Circular dependencies" ], "metrics": [ "Coupling metrics", "Cohesion scores", "Complexity measures", "Maintainability index" ] } ``` ## Advanced Review Features ### 1. Context-Aware Reviews ```bash # Review with full context npx ruv-swarm github review-context \ --pr 123 \ --load-related-prs \ --analyze-impact \ --check-breaking-changes ``` ### 2. Learning from History ```bash # Learn from past reviews npx ruv-swarm github review-learn \ --analyze-past-reviews \ --identify-patterns \ --improve-suggestions \ --reduce-false-positives ``` ### 3. Cross-PR Analysis ```bash # Analyze related PRs together npx ruv-swarm github review-batch \ --prs "123,124,125" \ --check-consistency \ --verify-integration \ --combined-impact ``` ## Review Automation ### Auto-Review on Push ```yaml # .github/workflows/auto-review.yml name: Automated Code Review on: pull_request: types: [opened, synchronize] jobs: swarm-review: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 with: fetch-depth: 0 - name: Setup GitHub CLI run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token - name: Run Review Swarm run: | # Get PR context with gh CLI PR_NUM=${{ github.event.pull_request.number }} PR_DATA=$(gh pr view $PR_NUM --json files,title,body,labels) # Run swarm review REVIEW_OUTPUT=$(npx ruv-swarm github review-all \ --pr $PR_NUM \ --pr-data "$PR_DATA" \ --agents "security,performance,style,architecture") # Post review results echo "$REVIEW_OUTPUT" | gh pr review $PR_NUM --comment -F - # Update PR status if echo "$REVIEW_OUTPUT" | grep -q "approved"; then gh pr review $PR_NUM --approve elif echo "$REVIEW_OUTPUT" | grep -q "changes-requested"; then gh pr review $PR_NUM --request-changes -b "See review comments above" fi ``` ### Review Triggers ```javascript // Custom review triggers { "triggers": { "high-risk-files": { "paths": ["**/auth/**", "**/payment/**"], "agents": ["security", "architecture"], "depth": "comprehensive" }, "performance-critical": { "paths": ["**/api/**", "**/database/**"], "agents": ["performance", "database"], "benchmarks": true }, "ui-changes": { "paths": ["**/components/**", "**/styles/**"], "agents": ["accessibility", "style", "i18n"], "visual-tests": true } } } ``` ## Review Comments ### Intelligent Comment Generation ```bash # Generate contextual review comments with gh CLI # Get PR diff with context PR_DIFF=$(gh pr diff 123 --color never) PR_FILES=$(gh pr view 123 --json files) # Generate review comments COMMENTS=$(npx ruv-swarm github review-comment \ --pr 123 \ --diff "$PR_DIFF" \ --files "$PR_FILES" \ --style "constructive" \ --include-examples \ --suggest-fixes) # Post comments using gh CLI echo "$COMMENTS" | jq -c '.[]' | while read -r comment; do FILE=$(echo "$comment" | jq -r '.path') LINE=$(echo "$comment" | jq -r '.line') BODY=$(echo "$comment" | jq -r '.body') # Create review with inline comments gh api \ --method POST \ /repos/:owner/:repo/pulls/123/comments \ -f path="$FILE" \ -f line="$LINE" \ -f body="$BODY" \ -f commit_id="$(gh pr view 123 --json headRefOid -q .headRefOid)" done ``` ### Comment Templates ```markdown <!-- Security Issue Template --> 🔒 **Security Issue: [Type]** **Severity**: 🔴 Critical / 🟡 High / 🟢 Low **Description**: [Clear explanation of the security issue] **Impact**: [Potential consequences if not addressed] **Suggested Fix**: ```language [Code example of the fix] ``` **References**: - [OWASP Guide](link) - [Security Best Practices](link) ``` ### Batch Comment Management ```bash # Manage review comments efficiently npx ruv-swarm github review-comments \ --pr 123 \ --group-by "agent,severity" \ --summarize \ --resolve-outdated ``` ## Integration with CI/CD ### Status Checks ```yaml # Required status checks protection_rules: required_status_checks: contexts: - "review-swarm/security" - "review-swarm/performance" - "review-swarm/architecture" ``` ### Quality Gates ```bash # Define quality gates npx ruv-swarm github quality-gates \ --define '{ "security": {"threshold": "no-critical"}, "performance": {"regression": "<5%"}, "coverage": {"minimum": "80%"}, "architecture": {"complexity": "<10"} }' ``` ### Review Metrics ```bash # Track review effectiveness npx ruv-swarm github review-metrics \ --period 30d \ --metrics "issues-found,false-positives,fix-rate" \ --export-dashboard ``` ## Best Practices ### 1. Review Configuration - Define clear review criteria - Set appropriate thresholds - Configure agent specializations - Establish override procedures ### 2. Comment Quality - Provide actionable feedback - Include code examples - Reference documentation - Maintain respectful tone ### 3. Performance - Cache analysis results - Incremental reviews for large PRs - Parallel agent execution - Smart comment batching ## Advanced Features ### 1. AI Learning ```bash # Train on your codebase npx ruv-swarm github review-train \ --learn-patterns \ --adapt-to-style \ --improve-accuracy ``` ### 2. Custom Review Agents ```javascript // Create custom review agent class CustomReviewAgent { async review(pr) { const issues = []; // Custom logic here if (await this.checkCustomRule(pr)) { issues.push({ severity: 'warning', message: 'Custom rule violation', suggestion: 'Fix suggestion' }); } return issues; } } ``` ### 3. Review Orchestration ```bash # Orchestrate complex reviews npx ruv-swarm github review-orchestrate \ --strategy "risk-based" \ --allocate-time-budget \ --prioritize-critical ``` ## Examples ### Security-Critical PR ```bash # Auth system changes npx ruv-swarm github review-init \ --pr 456 \ --agents "security,authentication,audit" \ --depth "maximum" \ --require-security-approval ``` ### Performance-Sensitive PR ```bash # Database optimization npx ruv-swarm github review-init \ --pr 789 \ --agents "performance,database,caching" \ --benchmark \ --profile ``` ### UI Component PR ```bash # New component library npx ruv-swarm github review-init \ --pr 321 \ --agents "accessibility,style,i18n,docs" \ --visual-regression \ --component-tests ``` ## Monitoring & Analytics ### Review Dashboard ```bash # Launch review dashboard npx ruv-swarm github review-dashboard \ --real-time \ --show "agent-activity,issue-trends,fix-rates" ``` ### Review Reports ```bash # Generate review reports npx ruv-swarm github review-report \ --format "markdown" \ --include "summary,details,trends" \ --email-stakeholders ``` See also: [swarm-pr.md](./swarm-pr.md), [workflow-automation.md](./workflow-automation.md)