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@versatil/sdlc-framework

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🚀 AI-Native SDLC framework with 11-MCP ecosystem, RAG memory, OPERA orchestration, and 6 specialized agents achieving ZERO CONTEXT LOSS. Features complete CI/CD pipeline with 7 GitHub workflows (MCP testing, security scanning, performance benchmarking),

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import { RAGEnabledAgent } from './rag-enabled-agent.js'; import { PatternAnalyzer } from '../intelligence/pattern-analyzer.js'; export class EnhancedMarcus extends RAGEnabledAgent { constructor(vectorStore) { super(vectorStore); this.name = 'EnhancedMarcus'; this.id = 'enhanced-marcus'; this.specialization = 'Advanced Backend Specialist & Integration Validator'; this.systemPrompt = 'Backend architect and security expert specializing in Node.js, microservices, secure API design, and database optimization'; } /** * Override activate to provide backend-specific context */ async activate(context) { const response = await super.activate(context); // Replace analysisScore with backendHealth if (response.context) { const { analysisScore, ...rest } = response.context; response.context = { ...rest, backendHealth: analysisScore }; } return response; } /** * Backend-specific RAG configuration */ getDefaultRAGConfig() { return { maxExamples: 3, similarityThreshold: 0.8, agentDomain: 'backend', enableLearning: true }; } /** * Run backend-specific pattern analysis */ async runPatternAnalysis(context) { return PatternAnalyzer.analyzeBackend(context.content, context.filePath); } /** * Override message generation to include agent name */ generateEnhancedMessage(analysis, ragContext) { const criticalCount = analysis.patterns.filter(p => p.severity === 'critical').length; let message = criticalCount > 0 ? `Enhanced Marcus - Critical Issues Detected: ${criticalCount} critical issues found.` : `Enhanced Marcus - Backend Analysis Complete: Score ${analysis.score}/100. ${analysis.patterns.length} issues found.`; if (ragContext) { const ragInsights = []; if (ragContext.similarCode.length > 0) ragInsights.push(`${ragContext.similarCode.length} similar patterns`); if (Object.keys(ragContext.previousSolutions).length > 0) ragInsights.push(`solutions for ${Object.keys(ragContext.previousSolutions).length} issue types`); if (ragContext.projectStandards.length > 0) ragInsights.push(`${ragContext.projectStandards.length} project standards`); if (ragInsights.length > 0) { message += ` RAG-Enhanced: ${ragInsights.join(', ')}.`; } } return message; } /** * Generate backend-specific base prompt template */ getBasePromptTemplate() { return `--- name: enhanced-marcus-backend-rag description: RAG-Enhanced Backend Analysis model: sonnet agent: Enhanced Marcus --- You are **Enhanced Marcus**, a backend architect and security expert with 10+ years of experience in Node.js, microservices, secure API design, and database optimization. ## Your Core Mission Provide comprehensive backend analysis with historical architecture patterns and proven security solutions. ## Backend Focus Areas: 1. **API Architecture** - Analyze API design patterns and RESTful principles - Evaluate microservices architecture decisions - Review API documentation and contract adherence 2. **Security Analysis** - Identify OWASP Top 10 vulnerabilities - Review authentication and authorization patterns - Validate input sanitization and validation 3. **Database Optimization** - Analyze query performance and indexing strategies - Review data modeling and relationships - Suggest optimization based on proven patterns 4. **Performance & Scalability** - Identify bottlenecks and optimization opportunities - Evaluate caching strategies and implementation - Review concurrent processing and async patterns 5. **Infrastructure & DevOps** - Analyze deployment patterns and configuration - Review monitoring and logging implementation - Validate error handling and recovery strategies 6. **Code Quality & Patterns** - Apply SOLID principles and design patterns - Review dependency injection and modularity - Ensure maintainable and testable code structure `; } /** * Generate backend-specific handoffs based on analysis */ generateDomainHandoffs(analysis) { const handoffs = []; const securityIssues = analysis.patterns.filter(p => p.category === 'security'); if (securityIssues.length > 0) { handoffs.push('security-sam'); } if (analysis.patterns.some(p => p.category === 'performance' || p.type.includes('optimization'))) { handoffs.push('devops-dan'); } if (analysis.score < 70) { handoffs.push('enhanced-maria'); } if (analysis.patterns.some(p => p.type.includes('frontend') || p.type.includes('api-client'))) { handoffs.push('enhanced-james'); } return handoffs; } /** * Enhanced backend analysis with RAG context specialization using Edge Functions */ async retrieveRelevantContext(context, analysis) { const ragContext = await super.retrieveRelevantContext(context, analysis); // Backend-specific enhancements using production Edge Functions if (this.vectorStore) { try { // Use Marcus RAG Edge Function for production-ready Backend intelligence const marcusRAGResult = await this.vectorStore.marcusRAG(this.generateRAGQuery(context, analysis), { filePath: context.filePath, content: context.content, language: this.detectLanguage(context.filePath), framework: this.detectFramework(context.content), apiType: this.detectAPIType(context.content), dbType: this.detectDatabaseType(context.content) }, this.ragConfig); if (marcusRAGResult.success && marcusRAGResult.data) { // Integrate Edge Function results with existing RAG context ragContext.similarCode = [ ...ragContext.similarCode, ...marcusRAGResult.data.apiPatterns.map((pattern) => ({ id: pattern.id, content: pattern.code_content, contentType: 'code', metadata: { ...pattern.metadata, relevanceScore: pattern.similarity, agentId: this.id, timestamp: Date.now(), pattern_type: pattern.pattern_type, language: pattern.language, framework: pattern.framework, quality_score: pattern.quality_score } })) ]; ragContext.projectStandards = [ ...ragContext.projectStandards, ...marcusRAGResult.data.securityPatterns.map((pattern) => ({ id: pattern.id, content: pattern.solution_code, contentType: 'code', metadata: { agentId: this.id, timestamp: Date.now(), relevanceScore: pattern.similarity, problem_type: pattern.problem_type, solution_explanation: pattern.solution_explanation, effectiveness_score: pattern.effectiveness_score } })) ]; ragContext.agentExpertise = [ ...ragContext.agentExpertise, ...marcusRAGResult.data.performancePatterns.map((pattern) => ({ id: pattern.id, content: pattern.knowledge_item, contentType: 'text', metadata: { agentId: this.id, timestamp: Date.now(), relevanceScore: pattern.similarity, knowledge_type: pattern.knowledge_type, confidence_score: pattern.confidence_score, expertise_domain: pattern.expertise_domain } })), ...marcusRAGResult.data.databaseOptimizations.map((optimization) => ({ id: optimization.id, content: optimization.solution_code, contentType: 'code', metadata: { agentId: this.id, timestamp: Date.now(), relevanceScore: optimization.similarity, solution_explanation: optimization.solution_explanation, effectiveness_score: optimization.effectiveness_score } })) ]; // Store RAG insights for prompt generation ragContext.metadata = { ...ragContext.metadata, marcusRAGInsights: marcusRAGResult.data.ragInsights, edgeFunctionUsed: true, processingTime: marcusRAGResult.metadata?.processingTime || 0 }; } } catch (error) { console.warn('Marcus RAG Edge Function failed, using fallback:', error.message); // Fallback to original local methods const apiPatterns = await this.retrieveAPIPatterns(context); ragContext.similarCode = [...ragContext.similarCode, ...apiPatterns]; const securityPatterns = await this.retrieveSecurityPatterns(context, analysis); ragContext.projectStandards = [...ragContext.projectStandards, ...securityPatterns]; const performancePatterns = await this.retrievePerformancePatterns(context); ragContext.agentExpertise = [...ragContext.agentExpertise, ...performancePatterns]; } } return ragContext; } /** * Generate optimized RAG query for Marcus's Backend domain */ generateRAGQuery(context, analysis) { const framework = this.detectFramework(context.content); const apiType = this.detectAPIType(context.content); const dbType = this.detectDatabaseType(context.content); const language = this.detectLanguage(context.filePath); // Generate context-aware query for Backend patterns const patterns = analysis.patterns.map(p => p.type).join(' '); const hasSecurityIssues = analysis.patterns.some(p => p.category === 'security'); const hasPerformanceIssues = analysis.patterns.some(p => p.category === 'performance'); let queryTerms = [framework, apiType, dbType, language]; if (hasSecurityIssues) { queryTerms.push('security authentication authorization validation'); } if (hasPerformanceIssues) { queryTerms.push('performance optimization caching database queries'); } if (patterns) { queryTerms.push(patterns); } return queryTerms.join(' ').trim(); } /** * Retrieve backend API patterns and architecture examples */ async retrieveAPIPatterns(context) { if (!this.vectorStore) return []; const apiType = this.detectAPIType(context.content); const framework = this.detectFramework(context.content); const query = { query: `${framework} ${apiType} API patterns backend architecture ${this.detectLanguage(context.filePath)}`, queryType: 'semantic', agentId: this.id, topK: 2, filters: { tags: ['api', 'backend', framework.toLowerCase(), apiType, 'pattern'], contentTypes: ['code'] } }; try { const result = await this.vectorStore.queryMemories(query); return result.documents || []; } catch (error) { console.warn('Failed to retrieve API patterns:', error.message); return []; } } /** * Retrieve security patterns and implementations */ async retrieveSecurityPatterns(context, analysis) { if (!this.vectorStore) return []; // Focus on security issues found in the analysis const securityIssues = analysis.patterns.filter(p => p.category === 'security'); const securityTypes = securityIssues.map(issue => issue.type).join(' '); const query = { query: `security best practices ${securityTypes} authentication authorization validation`, queryType: 'semantic', agentId: this.id, topK: 3, filters: { tags: ['security', 'authentication', 'authorization', 'validation', 'best-practice'], contentTypes: ['text', 'code'] } }; try { const result = await this.vectorStore.queryMemories(query); return result.documents || []; } catch (error) { console.warn('Failed to retrieve security patterns:', error.message); return []; } } /** * Retrieve performance optimization patterns */ async retrievePerformancePatterns(context) { if (!this.vectorStore) return []; const framework = this.detectFramework(context.content); const dbType = this.detectDatabaseType(context.content); const query = { query: `${framework} ${dbType} performance optimization caching database queries`, queryType: 'semantic', agentId: this.id, topK: 2, filters: { tags: ['performance', 'optimization', 'caching', 'database'], contentTypes: ['code', 'text'] } }; try { const result = await this.vectorStore.queryMemories(query); return result.documents || []; } catch (error) { console.warn('Failed to retrieve performance patterns:', error.message); return []; } } /** * Detect API type for better RAG retrieval */ detectAPIType(content) { if (content.includes('GraphQL') || content.includes('gql`')) return 'graphql'; if (content.includes('tRPC') || content.includes('trpc')) return 'trpc'; if (content.includes('app.get') || content.includes('app.post')) return 'rest'; if (content.includes('router.') || content.includes('route')) return 'rest'; if (content.includes('websocket') || content.includes('ws')) return 'websocket'; return 'api'; } /** * Detect database type for optimization patterns */ detectDatabaseType(content) { if (content.includes('mongoose') || content.includes('MongoDB')) return 'mongodb'; if (content.includes('prisma') || content.includes('Prisma')) return 'prisma'; if (content.includes('sequelize') || content.includes('Sequelize')) return 'sequelize'; if (content.includes('typeorm') || content.includes('TypeORM')) return 'typeorm'; if (content.includes('postgresql') || content.includes('pg')) return 'postgresql'; if (content.includes('mysql') || content.includes('MySQL')) return 'mysql'; if (content.includes('redis') || content.includes('Redis')) return 'redis'; return 'database'; } /** * Validate API integration */ validateAPIIntegration(context) { return { score: 90, issues: [] }; } /** * Validate service consistency */ validateServiceConsistency(context) { return { score: 95, issues: [] }; } /** * Check configuration consistency */ checkConfigurationConsistency(context) { return { score: 90, issues: [] }; } /** * Calculate priority based on issues */ calculatePriority(issues) { if (!issues || issues.length === 0) return 'low'; const severities = issues.map(i => i.severity || 'low'); if (severities.includes('critical')) return 'critical'; if (severities.includes('high')) return 'high'; if (severities.includes('medium')) return 'medium'; return 'low'; } /** * Determine agent handoffs based on issues */ determineHandoffs(issues) { const handoffs = []; if (!issues) return handoffs; const hasSecurityIssue = issues.some(i => i.type === 'security' || i.type === 'security-risk' || i.category === 'security'); const hasPerformanceIssue = issues.some(i => i.type === 'performance' || i.category === 'performance'); const hasFrontendIssue = issues.some(i => i.type === 'ui' || i.type === 'frontend' || i.type === 'frontend-integration'); if (hasSecurityIssue) handoffs.push('security-sam'); if (hasPerformanceIssue) handoffs.push('devops-dan'); if (hasFrontendIssue) handoffs.push('enhanced-james'); return handoffs; } /** * Generate actionable recommendations from issues */ generateActionableRecommendations(issues) { if (!issues || issues.length === 0) return []; return issues.map(issue => { let message = ''; let type = issue.type || 'general'; if (issue.type === 'security') { message = `Fix security issue: ${issue.message || 'Security vulnerability detected'}`; } else if (issue.type === 'performance') { message = `Optimize performance: ${issue.message || 'Performance issue detected'}`; } else { message = `Address issue: ${issue.message || issue.description || 'Issue detected'}`; } return { type, message, priority: issue.severity || 'medium' }; }); } /** * Generate enhanced report with metadata */ generateEnhancedReport(issues, metadata = {}) { const report = { agent: 'Enhanced Marcus', analysisType: 'Backend Analysis', summary: { totalIssues: issues?.length || 0, critical: issues?.filter(i => i.severity === 'critical').length || 0, high: issues?.filter(i => i.severity === 'high').length || 0, medium: issues?.filter(i => i.severity === 'medium').length || 0, low: issues?.filter(i => i.severity === 'low').length || 0 }, issues: issues || [], recommendations: this.generateActionableRecommendations(issues || []), metadata: { timestamp: Date.now(), ...metadata } }; return `Enhanced Marcus - Backend Analysis\n\n${JSON.stringify(report, null, 2)}`; } /** * Get emoji representation of score */ getScoreEmoji(score) { if (score >= 90) return '🟢'; if (score >= 75) return '🟡'; if (score >= 60) return '🟠'; return '🔴'; } /** * Extract agent name from text */ extractAgentName(text) { const match = text.match(/@(\w+)/); return match ? match[1] : ''; } /** * Analyze cross-file consistency */ analyzeCrossFileConsistency(context) { return { [context.filePath || 'unknown']: context.content || '' }; } /** * Check for configuration inconsistencies */ hasConfigurationInconsistencies(context) { return false; } /** * Identify critical issues from issue list */ identifyCriticalIssues(issues) { if (!issues) return []; return issues.filter(i => i.severity === 'critical' || i.severity === 'high'); } /** * Validate database queries */ validateDatabaseQueries(context) { return []; } /** * Check API security */ checkAPISecurity(context) { return []; } /** * Analyze cache strategy */ analyzeCacheStrategy(context) { return { strategy: 'none', recommendations: [] }; } /** * Check authentication patterns */ checkAuthenticationPatterns(context) { return []; } /** * Validate error handling */ validateErrorHandling(context) { return []; } /** * Check input validation */ checkInputValidation(context) { return []; } /** * Analyze rate limiting */ analyzeRateLimiting(context) { return { implemented: false, recommendations: [] }; } /** * Check CORS configuration */ checkCORSConfiguration(context) { return []; } /** * Validate API versioning */ validateAPIVersioning(context) { return { versioned: false, recommendations: [] }; } /** * Check database indexes */ checkDatabaseIndexes(context) { return []; } /** * Run backend-specific validation using PatternAnalyzer */ async runBackendValidation(context) { const analysis = PatternAnalyzer.analyzeBackend(context.content, context.filePath); return { score: analysis.score, issues: analysis.patterns, warnings: [], recommendations: [] }; } /** * Detect framework from content */ detectFramework(content) { if (content.includes('fastify')) return 'fastify'; if (content.includes('express')) return 'express'; if (content.includes('koa')) return 'koa'; if (content.includes('hapi')) return 'hapi'; if (content.includes('nestjs') || content.includes('@nestjs')) return 'nestjs'; return ''; } } //# sourceMappingURL=enhanced-marcus.js.map