Avancé
v2.06 vuesWD FRAMEWORK GUIDE AVANCE
Architecture interne, orchestration des vagues et concepts avancés
⚡ WD Framework - Guide Avancé
Pour qui? Développeurs experts qui veulent comprendre l'architecture interne, optimiser les performances et personnaliser le framework.
📖 Table des Matières
- Architecture Interne
- Système d'Orchestration
- Wave Orchestration en Profondeur
- Coordination MCP
- Quality Gates System
- Performance & Optimisations
- Personnalisation Avancée
- Contribution au Framework
Architecture Interne
🏗️ Vue d'Ensemble du Système
┌──────────────────────────────────────────────────────────────┐
│ WD FRAMEWORK v2.0 │
│ (Extension de Claude Code) │
└──────────────────────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────────────────────┐
│ COUCHE D'ENTRÉE │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ 22 Commandes Slash (/wd:*) │ │
│ │ └─ Parser & Validator │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────────────────────┐
│ ORCHESTRATOR (Cerveau) │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ 1. Request Analysis Engine │ │
│ │ ├─ NLP Analysis (keywords, intent) │ │
│ │ ├─ Complexity Calculator (0-1 scale) │ │
│ │ ├─ Domain Detector (frontend/backend/etc.) │ │
│ │ └─ Risk Assessor │ │
│ │ │ │
│ │ 2. Strategy Selector │ │
│ │ ├─ Persona Activation Logic │ │
│ │ ├─ Agent Delegation Rules │ │
│ │ ├─ Wave Mode Decision Tree │ │
│ │ └─ MCP Coordination Matrix │ │
│ │ │ │
│ │ 3. Execution Planner │ │
│ │ ├─ Task Decomposition │ │
│ │ ├─ Dependency Graph │ │
│ │ ├─ Resource Allocation │ │
│ │ └─ Timeline Estimation │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────────────────────┐
│ EXECUTION LAYER │
│ ┌─────────────┬─────────────┬─────────────┬──────────────┐ │
│ │ Personas │ Agents │ MCP Coord │ Wave Engine │ │
│ │ (11) │ (5) │ (4 servers)│ (5 waves) │ │
│ └─────────────┴─────────────┴─────────────┴──────────────┘ │
└──────────────────────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────────────────────┐
│ QUALITY LAYER │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ 8 Quality Gates │ │
│ │ ├─ Syntax Check │ │
│ │ ├─ Type Safety │ │
│ │ ├─ Linting │ │
│ │ ├─ Security Scan │ │
│ │ ├─ Testing (coverage ≥80%) │ │
│ │ ├─ Performance Validation │ │
│ │ ├─ Documentation Check │ │
│ │ └─ Integration Test │ │
│ └────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────────────────────┐
│ OUTPUT LAYER │
│ ├─ Generated Code │
│ ├─ Tests │
│ ├─ Documentation │
│ ├─ Metrics & Reports │
│ └─ Recommendations │
└──────────────────────────────────────────────────────────────┘
🔍 Composants Principaux
1. ORCHESTRATOR.md (605 lignes)
Le cerveau du système. Responsabilités:
interface Orchestrator {
// Phase 1: Analyse
analyzeRequest(input: string): RequestAnalysis {
// NLP pour extraire intent, keywords, domaine
// Calcul de complexité
// Évaluation des ressources nécessaires
}
// Phase 2: Décision
selectStrategy(analysis: RequestAnalysis): ExecutionStrategy {
// Décision persona(s)
// Décision agent(s)
// Décision wave mode
// Décision MCP servers
}
// Phase 3: Exécution
execute(strategy: ExecutionStrategy): Result {
// Orchestration des ressources
// Coordination parallèle/séquentielle
// Gestion des erreurs et rollback
}
// Phase 4: Validation
validate(result: Result): ValidationReport {
// Exécution des 8 quality gates
// Génération de rapports
}
}
Algorithme de décision de complexité:
function calculateComplexity(analysis: RequestAnalysis): number {
let complexity = 0.0;
// Facteur 1: Nombre de fichiers (40%)
if (analysis.affectedFiles < 5) complexity += 0.1;
else if (analysis.affectedFiles < 20) complexity += 0.2;
else if (analysis.affectedFiles < 50) complexity += 0.3;
else complexity += 0.4;
// Facteur 2: Nombre de domaines (30%)
const domains = analysis.domains.length;
complexity += (domains - 1) * 0.15; // 1 domain = 0, 2 = 0.15, 3 = 0.3
// Facteur 3: Interdépendances (20%)
complexity += analysis.dependencies * 0.04;
// Facteur 4: Opérations multiples (10%)
const operations = analysis.operationTypes.length;
complexity += (operations - 1) * 0.05;
return Math.min(complexity, 1.0);
}
Règles d'activation automatique:
const AUTO_ACTIVATION_RULES = {
waveMode: {
trigger: (c) => c.complexity >= 0.7 &&
c.files > 20 &&
c.operationTypes.length > 2,
action: '--wave-mode auto'
},
agents: {
trigger: (c) => c.directories > 7 ||
c.files > 50 ||
c.complexity > 0.8,
action: '--delegate folders'
},
personas: {
security: {
keywords: ['security', 'auth', 'vulnerability', 'OWASP'],
weight: 0.4
},
frontend: {
keywords: ['component', 'UI', 'interface', 'React', 'Vue'],
weight: 0.4
},
performance: {
keywords: ['slow', 'optimize', 'performance', 'fast'],
weight: 0.3
}
},
mcp: {
magic: {
trigger: (c) => c.keywords.includes('component') &&
c.domain === 'frontend',
action: '--magic'
},
sequential: {
trigger: (c) => c.complexity > 0.6 ||
c.keywords.includes('complex'),
action: '--seq'
},
context7: {
trigger: (c) => c.hasExternalLibraries,
action: '--c7'
}
}
};
2. PERSONAS.md - Système de Personnalités
Chaque persona est défini par:
interface Persona {
name: string;
priorities: Priority[];
decisionWeights: DecisionWeights;
toolPreferences: ToolPreferences;
validationCriteria: ValidationRule[];
conflictResolution: ConflictStrategy;
}
interface Priority {
name: string;
weight: number; // 0-1
description: string;
}
// Exemple: Security Persona
const SECURITY_PERSONA: Persona = {
name: 'security',
priorities: [
{ name: 'vulnerability_prevention', weight: 1.0 },
{ name: 'data_encryption', weight: 0.9 },
{ name: 'authentication', weight: 0.85 },
{ name: 'code_quality', weight: 0.6 } // Plus bas que les autres
],
decisionWeights: {
security: 1.0,
performance: 0.5, // Accepte compromis performance pour sécurité
usability: 0.6
},
toolPreferences: {
mcpServers: ['sequential', 'context7'],
analysisDepth: 'deep',
validationLevel: 'strict'
},
validationCriteria: [
{ type: 'owasp_top_10', required: true },
{ type: 'dependency_scan', required: true },
{ type: 'secret_detection', required: true }
],
conflictResolution: {
// Quand Security Persona vs Performance Persona
vsPerformance: 'prioritize_security',
vsFrontend: 'compromise', // Négociation
vsBackend: 'collaborate' // Travail ensemble
}
};
Algorithme de sélection de persona:
function selectPersona(analysis: RequestAnalysis): Persona[] {
const scores: Map<string, number> = new Map();
// 1. Score basé sur keywords (40%)
for (const [persona, config] of PERSONA_CONFIGS) {
let keywordScore = 0;
for (const keyword of config.keywords) {
if (analysis.keywords.includes(keyword)) {
keywordScore += config.keywordWeights[keyword];
}
}
scores.set(persona, keywordScore * 0.4);
}
// 2. Score basé sur domaine (40%)
const domainPersona = DOMAIN_TO_PERSONA[analysis.primaryDomain];
scores.set(domainPersona, scores.get(domainPersona) + 0.4);
// 3. Score basé sur historique (20%)
const recentPersonas = getRecentPersonasFromHistory();
for (const persona of recentPersonas) {
scores.set(persona, scores.get(persona) + 0.2);
}
// Sélection: top persona + personas avec score > 0.6
const sorted = Array.from(scores.entries())
.sort((a, b) => b[1] - a[1]);
const selected = [sorted[0][0]]; // Top persona toujours inclus
for (let i = 1; i < sorted.length; i++) {
if (sorted[i][1] > 0.6) {
selected.push(sorted[i][0]);
}
}
return selected.map(name => PERSONAS[name]);
}
3. AGENTS.md - Système Multi-Agents
Architecture des agents:
interface Agent {
id: string;
specialization: string;
tools: Tool[];
autonomyLevel: 'low' | 'medium' | 'high';
// Capacités
canWorkInParallel: boolean;
canDelegateSubtasks: boolean;
maxConcurrentTasks: number;
// Communication
communicationProtocol: AgentProtocol;
handoffCapabilities: HandoffConfig;
}
// Patterns d'orchestration
enum OrchestrationPattern {
SINGLE = 'single', // Un seul agent
PARALLEL = 'parallel', // Agents indépendants en parallèle
SEQUENTIAL = 'sequential', // Agents en séquence avec handoff
HIERARCHICAL = 'hierarchical' // Coordinateur + sub-agents
}
// Exemple: Orchestration hiérarchique
class HierarchicalOrchestrator {
async execute(task: ComplexTask): Promise<Result> {
// 1. Décomposition
const subtasks = this.decompose(task);
// 2. Attribution aux agents
const assignments = this.assign(subtasks);
// 3. Exécution coordonnée
const results = await Promise.all(
assignments.map(async (assignment) => {
const agent = this.getAgent(assignment.agentId);
// Exécution avec monitoring
return await agent.execute(assignment.subtask, {
onProgress: (progress) => this.reportProgress(progress),
onBlocked: (blocker) => this.resolveBlocker(blocker)
});
})
);
// 4. Intégration des résultats
return this.integrate(results);
}
private resolveBlocker(blocker: Blocker): void {
// Coordination inter-agents pour résoudre les blocages
if (blocker.type === 'dependency') {
this.prioritize(blocker.requiredAgent);
} else if (blocker.type === 'conflict') {
this.mediate(blocker.agents);
}
}
}
Protocole de handoff entre agents:
interface HandoffProtocol {
// Informations transmises lors du passage de relais
contextTransfer: {
workCompleted: WorkSummary;
decisionsArole: Decision[];
knownIssues: Issue[];
recommendations: Recommendation[];
};
// Validation avant handoff
validationRequired: boolean;
validationCriteria: ValidationRule[];
// Rollback si l'agent suivant ne peut pas continuer
rollbackStrategy: 'full' | 'partial' | 'none';
}
// Exemple: Backend → Frontend handoff
const BACKEND_TO_FRONTEND_HANDOFF: HandoffProtocol = {
contextTransfer: {
workCompleted: {
apis: ['POST /api/users', 'GET /api/users/:id'],
dataModels: ['User', 'UserProfile'],
authentication: 'JWT with refresh tokens'
},
decisionsArole: [
{ decision: 'Use bcrypt for passwords', rationale: 'Security' },
{ decision: 'Rate limit: 100 req/min', rationale: 'Anti-abuse' }
],
knownIssues: [],
recommendations: [
'Use TypeScript types from backend',
'Implement optimistic updates for better UX'
]
},
validationRequired: true,
validationCriteria: [
{ type: 'api_tests_pass', required: true },
{ type: 'documentation_complete', required: true }
],
rollbackStrategy: 'partial' // Frontend peut commencer même si backend pas 100% fini
};
Système d'Orchestration
🎯 Request Analysis Engine
Phase 1: Parsing & Feature Extraction
class RequestAnalyzer {
analyze(input: string): RequestAnalysis {
// 1. NLP Analysis
const tokens = this.tokenize(input);
const keywords = this.extractKeywords(tokens);
const intent = this.detectIntent(tokens, keywords);
// 2. Complexity Calculation
const complexity = this.calculateComplexity({
keywords,
intent,
projectContext: this.getProjectContext()
});
// 3. Domain Detection
const domains = this.detectDomains(keywords, intent);
// 4. Operation Type Classification
const operations = this.classifyOperations(intent, keywords);
// 5. Resource Estimation
const resources = this.estimateResources({
complexity,
domains,
operations
});
return {
input,
tokens,
keywords,
intent,
complexity,
domains,
operations,
resources,
metadata: this.gatherMetadata()
};
}
private detectIntent(tokens: Token[], keywords: Keyword[]): Intent {
// Machine learning-like scoring
const intentScores: Map<string, number> = new Map();
// Intent keywords mapping
const INTENT_KEYWORDS = {
'implement': ['create', 'add', 'implement', 'build', 'make'],
'improve': ['improve', 'optimize', 'refactor', 'enhance'],
'analyze': ['analyze', 'audit', 'review', 'check', 'inspect'],
'fix': ['fix', 'resolve', 'debug', 'troubleshoot'],
'document': ['document', 'explain', 'describe']
};
for (const [intent, intentKeywords] of Object.entries(INTENT_KEYWORDS)) {
let score = 0;
for (const keyword of keywords) {
if (intentKeywords.includes(keyword.value.toLowerCase())) {
score += keyword.weight;
}
}
intentScores.set(intent, score);
}
// Retourner l'intent avec le score le plus élevé
const topIntent = Array.from(intentScores.entries())
.sort((a, b) => b[1] - a[1])[0];
return {
type: topIntent[0],
confidence: topIntent[1],
alternatives: Array.from(intentScores.entries())
.filter(([_, score]) => score > 0.3)
.map(([type, score]) => ({ type, score }))
};
}
}
Phase 2: Strategy Selection
class StrategySelector {
select(analysis: RequestAnalysis): ExecutionStrategy {
const strategy: ExecutionStrategy = {
personas: [],
agents: [],
mcpServers: [],
waveMode: 'off',
waveStrategy: null,
parallelization: 'none',
estimatedDuration: 0
};
// 1. Sélection des Personas
strategy.personas = this.selectPersonas(analysis);
// 2. Décision Agent(s)
if (this.shouldUseAgents(analysis)) {
strategy.agents = this.selectAgents(analysis);
strategy.parallelization = this.determineParallelization(analysis);
}
// 3. Wave Mode Decision
if (this.shouldUseWaveMode(analysis)) {
strategy.waveMode = 'auto';
strategy.waveStrategy = this.selectWaveStrategy(analysis);
}
// 4. MCP Coordination
strategy.mcpServers = this.selectMCPServers(analysis);
// 5. Estimation
strategy.estimatedDuration = this.estimateDuration(strategy);
return strategy;
}
private shouldUseWaveMode(analysis: RequestAnalysis): boolean {
return (
analysis.complexity >= 0.7 &&
analysis.affectedFiles > 20 &&
analysis.operations.length > 2
) || (
analysis.keywords.includes('refactor') &&
analysis.affectedFiles > 10
) || (
analysis.keywords.includes('migrate')
);
}
private shouldUseAgents(analysis: RequestAnalysis): boolean {
return (
analysis.domains.length > 1 ||
analysis.affectedFiles > 50 ||
analysis.complexity > 0.8 ||
analysis.operations.some(op => op.type === 'multi-domain')
);
}
}
Wave Orchestration en Profondeur
🌊 Architecture des Vagues
interface Wave {
id: number;
name: string;
objectives: Objective[];
duration: number; // minutes
dependencies: number[]; // IDs des vagues précédentes requises
// Exécution
preConditions: Condition[];
execute: (context: WaveContext) => Promise<WaveResult>;
postValidation: ValidationRule[];
// Rollback
canRollback: boolean;
rollbackStrategy: () => Promise<void>;
}
// Les 5 Vagues Standard
const STANDARD_WAVES: Wave[] = [
{
id: 1,
name: 'Analysis',
objectives: [
{ desc: 'Understand current state', priority: 'critical' },
{ desc: 'Identify pain points', priority: 'high' },
{ desc: 'Map dependencies', priority: 'high' },
{ desc: 'Assess risks', priority: 'medium' }
],
duration: 5, // 5 minutes
dependencies: [],
execute: async (context) => {
// Analyse approfondie du code existant
const codeAnalysis = await analyzeCodebase(context.targetFiles);
const dependencies = await analyzeDependencies(context);
const risks = await assessRisks(codeAnalysis, dependencies);
return {
codeAnalysis,
dependencies,
risks,
recommendations: generateRecommendations(codeAnalysis, risks)
};
},
postValidation: [
{ type: 'completeness', check: (r) => r.codeAnalysis != null },
{ type: 'risks_identified', check: (r) => r.risks.length > 0 }
]
},
{
id: 2,
name: 'Design',
objectives: [
{ desc: 'Design solution architecture', priority: 'critical' },
{ desc: 'Plan implementation steps', priority: 'critical' },
{ desc: 'Define success criteria', priority: 'high' }
],
duration: 5,
dependencies: [1], // Nécessite Wave 1
execute: async (context) => {
const wave1Result = context.previousWaves[1];
// Design basé sur l'analyse
const architecture = await designArchitecture(wave1Result);
const plan = await createImplementationPlan(architecture);
const successCriteria = defineSuccessCriteria(context.objectives);
return {
architecture,
plan,
successCriteria
};
}
},
{
id: 3,
name: 'Implementation Phase 1',
objectives: [
{ desc: 'Implement core changes', priority: 'critical' },
{ desc: 'Continuous validation', priority: 'high' }
],
duration: 10,
dependencies: [2],
execute: async (context) => {
const plan = context.previousWaves[2].plan;
// Implémentation progressive avec validation
const results = [];
for (const step of plan.steps) {
const result = await implementStep(step);
await validateStep(result);
results.push(result);
// Rollback si validation échoue
if (!result.valid) {
await this.rollbackStrategy();
throw new Error(`Step ${step.id} failed validation`);
}
}
return { implementedSteps: results };
},
canRollback: true,
rollbackStrategy: async () => {
await gitRestore(context.affectedFiles);
}
},
{
id: 4,
name: 'Validation & Refinement',
objectives: [
{ desc: 'Test implementation', priority: 'critical' },
{ desc: 'Analyze results', priority: 'high' },
{ desc: 'Identify improvements', priority: 'medium' }
],
duration: 5,
dependencies: [3],
execute: async (context) => {
// Tests exhaustifs
const testResults = await runAllTests(context);
// Analyse des métriques
const metrics = await collectMetrics({
performance: await measurePerformance(),
quality: await analyzeQuality(),
coverage: await calculateCoverage()
});
// Identification des améliorations
const improvements = identifyImprovements(testResults, metrics);
return {
testResults,
metrics,
improvements
};
}
},
{
id: 5,
name: 'Optimization & Finalization',
objectives: [
{ desc: 'Apply final optimizations', priority: 'high' },
{ desc: 'Generate documentation', priority: 'high' },
{ desc: 'Prepare deployment', priority: 'medium' }
],
duration: 5,
dependencies: [4],
execute: async (context) => {
const improvements = context.previousWaves[4].improvements;
// Appliquer optimisations
await applyOptimizations(improvements);
// Documentation
const docs = await generateDocumentation({
changes: context.allChanges,
architecture: context.previousWaves[2].architecture,
metrics: context.previousWaves[4].metrics
});
// Préparation déploiement
const deploymentGuide = await generateDeploymentGuide(context);
return {
optimizations: improvements,
documentation: docs,
deploymentGuide
};
}
}
];
🎭 Stratégies de Vagues
Progressive Strategy
class ProgressiveWaveStrategy implements WaveStrategy {
name = 'progressive';
async execute(context: WaveContext): Promise<WaveResult> {
// Identification des "quick wins"
const quickWins = this.identifyQuickWins(context);
// Vague 1: Quick wins
const wave1 = await this.executeQuickWins(quickWins);
context.momentum = 'high'; // Motivation par résultats rapides
// Vague 2: Amélorations moyennes
const moderateImprovements = this.identifyModerateImprovements(context);
const wave2 = await this.executeImprovements(moderateImprovements);
// Vague 3-5: Progressivement vers les parties complexes
// ...
return this.aggregateResults([wave1, wave2, /* ... */]);
}
private identifyQuickWins(context: WaveContext): Improvement[] {
return context.potentialImprovements
.filter(imp => imp.effort < 3 && imp.impact > 7)
.sort((a, b) => (b.impact / b.effort) - (a.impact / a.effort));
}
}
Systematic Strategy
class SystematicWaveStrategy implements WaveStrategy {
name = 'systematic';
async execute(context: WaveContext): Promise<WaveResult> {
// Checklist stricte à suivre
const checklist = this.generateChecklist(context);
for (const item of checklist) {
// Validation rigoureuse de chaque étape
await this.executeChecklistItem(item);
await this.validateAgainstStandards(item);
if (!item.valid) {
throw new Error(`Checklist item ${item.id} failed validation`);
}
// Documentation systématique
await this.documentItem(item);
}
return this.generateComplianceReport(checklist);
}
}
Adaptive Strategy
class AdaptiveWaveStrategy implements WaveStrategy {
name = 'adaptive';
async execute(context: WaveContext): Promise<WaveResult> {
let currentStrategy = this.initialStrategy(context);
for (let wave = 1; wave <= 5; wave++) {
// Exécution
const result = await this.executeWave(wave, currentStrategy);
// Apprentissage et adaptation
const learnings = this.analyzeLearnings(result);
currentStrategy = this.adaptStrategy(currentStrategy, learnings);
// Ajustement des objectifs si nécessaire
if (learnings.shouldPivot) {
context.objectives = this.adjustObjectives(
context.objectives,
learnings
);
}
}
return this.synthesizeResults(context);
}
private adaptStrategy(
current: Strategy,
learnings: Learnings
): Strategy {
// Ajustement dynamique basé sur les résultats
if (learnings.complexity > current.estimatedComplexity) {
return {
...current,
validationLevel: 'stricter',
testsRequired: current.testsRequired * 1.5
};
}
return current;
}
}
Enterprise Strategy
class EnterpriseWaveStrategy implements WaveStrategy {
name = 'enterprise';
async execute(context: WaveContext): Promise<WaveResult> {
// Maximum de qualité et de validation
// Vague 1: Analyse exhaustive multi-dimensionnelle
const analysis = await this.comprehensiveAnalysis({
security: await this.securityAudit(),
performance: await this.performanceAnalysis(),
quality: await this.qualityAssessment(),
architecture: await this.architectureReview(),
compliance: await this.complianceCheck()
});
// Vague 2: Design avec review externe
const design = await this.designWithReview(analysis);
await this.externalReview(design); // Peut inclure human review
// Vague 3: Implémentation avec validation continue
const implementation = await this.implementWithContinuousValidation(design);
// Vague 4: Testing exhaustif
const testing = await this.comprehensiveTesting({
unit: { coverage: 0.95 }, // 95% coverage requis
integration: { coverage: 0.85 },
e2e: { criticalPaths: 'all' },
performance: { benchmarks: true },
security: { penTest: true },
accessibility: { wcagLevel: 'AAA' }
});
// Vague 5: Audit final + documentation + deployment prep
const finalization = await this.finalizeForProduction({
auditResults: await this.finalAudit(),
documentation: await this.comprehensiveDocumentation(),
deploymentStrategy: await this.zeroDowntimeDeploymentPlan(),
rollbackPlan: await this.rollbackStrategy(),
monitoringSetup: await this.monitoringAndAlerting()
});
return {
...implementation,
...testing,
...finalization,
certification: 'production-ready',
confidence: 0.99
};
}
}
Coordination MCP
🔧 Architecture MCP Integration
interface MCPServer {
name: string;
capabilities: Capability[];
latency: number; // ms
costPerRequest: number;
reliability: number; // 0-1
// Load balancing
maxConcurrentRequests: number;
currentLoad: number;
// Coordination
worksWellWith: string[]; // Autres MCP servers complémentaires
conflicts: string[]; // MCP servers incompatibles
}
class MCPCoordinator {
private servers: Map<string, MCPServer>;
async coordinate(
requests: MCPRequest[],
strategy: CoordinationStrategy
): Promise<MCPResult[]> {
switch (strategy) {
case 'parallel':
return await this.parallelExecution(requests);
case 'sequential':
return await this.sequentialExecution(requests);
case 'optimized':
return await this.optimizedExecution(requests);
case 'fallback':
return await this.executionWithFallback(requests);
}
}
private async optimizedExecution(
requests: MCPRequest[]
): Promise<MCPResult[]> {
// Optimisation multi-critères
const plan = this.createOptimalPlan(requests, {
objectives: ['minimize_latency', 'minimize_cost', 'maximize_reliability'],
constraints: ['max_concurrent_requests', 'budget']
});
return await this.executePlan(plan);
}
private createOptimalPlan(
requests: MCPRequest[],
optimization: Optimization
): ExecutionPlan {
// Algorithme d'optimisation
const graph = this.buildDependencyGraph(requests);
const parallelGroups = this.identifyParallelizableGroups(graph);
// Attribution optimale server ↔ request
const assignments = this.optimalAssignment(
parallelGroups,
optimization
);
return {
groups: parallelGroups,
assignments,
estimatedDuration: this.estimateDuration(assignments),
estimatedCost: this.estimateCost(assignments)
};
}
}
📚 Context7 Integration
Cas d'usage: Documentation officielle, best practices
class Context7Integration {
async query(library: string, topic: string): Promise<Documentation> {
const result = await this.mcp.request('context7', {
action: 'query',
params: {
library,
topic,
includeExamples: true,
version: 'latest'
}
});
return {
documentation: result.docs,
examples: result.examples,
bestPractices: result.practices,
commonPitfalls: result.pitfalls
};
}
// Exemple d'utilisation
async implementReactComponent(): Promise<Component> {
// Récupérer best practices React
const reactDocs = await this.query('react', 'component-patterns');
// Générer composant selon best practices
return generateComponent({
patterns: reactDocs.bestPractices,
examples: reactDocs.examples
});
}
}
🧠 Sequential Integration
Cas d'usage: Raisonnement complexe multi-étapes
class SequentialIntegration {
async complexAnalysis(problem: ComplexProblem): Promise<Analysis> {
const result = await this.mcp.request('sequential', {
action: 'analyze',
params: {
problem,
steps: [
'understand_context',
'identify_root_causes',
'evaluate_solutions',
'recommend_approach'
],
thinkingBudget: 10000 // tokens
}
});
return {
understanding: result.steps[0],
rootCauses: result.steps[1],
solutions: result.steps[2],
recommendation: result.steps[3],
confidence: result.confidence
};
}
}
✨ Magic Integration
Cas d'usage: Génération de composants UI
class MagicIntegration {
async generateUIComponent(spec: ComponentSpec): Promise<Component> {
const result = await this.mcp.request('magic', {
action: 'generate',
params: {
type: 'component',
framework: spec.framework, // 'react', 'vue', etc.
description: spec.description,
features: spec.features,
designSystem: spec.designSystem
}
});
return {
code: result.component,
styles: result.styles,
tests: result.tests,
storybook: result.storybook
};
}
}
🎭 Playwright Integration
Cas d'usage: Tests E2E automatisés
class PlaywrightIntegration {
async generateE2ETests(userFlow: UserFlow): Promise<TestSuite> {
const result = await this.mcp.request('playwright', {
action: 'generate_tests',
params: {
flow: userFlow,
assertions: userFlow.expectedBehaviors,
crossBrowser: true
}
});
return {
tests: result.testFiles,
coverage: result.coverage,
visualSnapshots: result.snapshots
};
}
async runTests(tests: TestSuite): Promise<TestResults> {
return await this.mcp.request('playwright', {
action: 'run',
params: {
tests,
browsers: ['chromium', 'firefox', 'webkit'],
parallel: true
}
});
}
}
Quality Gates System
✅ Les 8 Quality Gates
interface QualityGate {
id: string;
name: string;
description: string;
severity: 'critical' | 'high' | 'medium' | 'low';
// Exécution
check: (code: Code) => Promise<GateResult>;
autoFix: boolean;
fixStrategy?: (code: Code, issues: Issue[]) => Promise<Code>;
// Reporting
reportFormat: ReportFormat;
}
const QUALITY_GATES: QualityGate[] = [
// Gate 1: Syntax Check
{
id: 'syntax',
name: 'Syntax Validation',
severity: 'critical',
check: async (code) => {
const parser = getParser(code.language);
try {
parser.parse(code.content);
return { passed: true };
} catch (error) {
return {
passed: false,
issues: [{ type: 'syntax_error', message: error.message }]
};
}
},
autoFix: false
},
// Gate 2: Type Safety
{
id: 'type_safety',
name: 'Type Safety Check',
severity: 'critical',
check: async (code) => {
if (code.language === 'typescript') {
const result = await runTypeScript(code);
return {
passed: result.errors.length === 0,
issues: result.errors.map(e => ({
type: 'type_error',
message: e.message,
location: e.location
}))
};
}
return { passed: true }; // Skip pour langages non-typés
},
autoFix: true,
fixStrategy: async (code, issues) => {
return await autoFixTypeIssues(code, issues);
}
},
// Gate 3: Linting
{
id: 'linting',
name: 'Code Style & Best Practices',
severity: 'high',
check: async (code) => {
const linter = getLinter(code.language);
const results = await linter.lint(code.content);
return {
passed: results.errors.length === 0,
issues: results.errors.concat(results.warnings)
};
},
autoFix: true,
fixStrategy: async (code, issues) => {
const linter = getLinter(code.language);
return await linter.fix(code.content);
}
},
// Gate 4: Security Scan
{
id: 'security',
name: 'Security Vulnerability Scan',
severity: 'critical',
check: async (code) => {
// OWASP Top 10 + dependency scan
const vulnerabilities = [];
// SQL Injection
vulnerabilities.push(...await scanSQLInjection(code));
// XSS
vulnerabilities.push(...await scanXSS(code));
// Secrets in code
vulnerabilities.push(...await scanSecrets(code));
// Dependency vulnerabilities
vulnerabilities.push(...await scanDependencies(code));
const critical = vulnerabilities.filter(v => v.severity === 'critical');
return {
passed: critical.length === 0,
issues: vulnerabilities
};
},
autoFix: true,
fixStrategy: async (code, issues) => {
// Auto-fix pour certaines vulnérabilités
for (const issue of issues) {
if (issue.type === 'sql_injection') {
code = await fixSQLInjection(code, issue);
} else if (issue.type === 'xss') {
code = await fixXSS(code, issue);
}
}
return code;
}
},
// Gate 5: Testing
{
id: 'testing',
name: 'Test Coverage & Quality',
severity: 'high',
check: async (code) => {
const testResults = await runTests(code);
const coverage = await calculateCoverage(code);
const passed = (
testResults.passed === testResults.total &&
coverage.unit >= 0.80 &&
coverage.integration >= 0.70
);
return {
passed,
issues: passed ? [] : [
{
type: 'insufficient_coverage',
message: `Coverage: ${coverage.unit * 100}% (required: 80%)`
}
],
metrics: {
testsPassed: testResults.passed,
testsTotal: testResults.total,
coverageUnit: coverage.unit,
coverageIntegration: coverage.integration
}
};
},
autoFix: true,
fixStrategy: async (code, issues) => {
// Générer tests manquants
const missingTests = identifyMissingTests(code);
const newTests = await generateTests(missingTests);
return addTests(code, newTests);
}
},
// Gate 6: Performance
{
id: 'performance',
name: 'Performance Validation',
severity: 'medium',
check: async (code) => {
const benchmarks = await runBenchmarks(code);
// Budgets de performance
const budgets = {
responseTime: 100, // ms
memoryUsage: 50, // MB
cpuUsage: 70 // %
};
const issues = [];
if (benchmarks.responseTime > budgets.responseTime) {
issues.push({
type: 'slow_response',
message: `Response time: ${benchmarks.responseTime}ms (budget: ${budgets.responseTime}ms)`
});
}
return {
passed: issues.length === 0,
issues,
metrics: benchmarks
};
},
autoFix: true,
fixStrategy: async (code, issues) => {
return await optimizePerformance(code, issues);
}
},
// Gate 7: Documentation
{
id: 'documentation',
name: 'Documentation Completeness',
severity: 'medium',
check: async (code) => {
const coverage = await checkDocCoverage(code);
return {
passed: coverage >= 0.80,
issues: coverage < 0.80 ? [{
type: 'missing_docs',
message: `Documentation coverage: ${coverage * 100}%`
}] : [],
metrics: { coverage }
};
},
autoFix: true,
fixStrategy: async (code, issues) => {
return await generateDocumentation(code);
}
},
// Gate 8: Integration Test
{
id: 'integration',
name: 'Integration with Existing Code',
severity: 'high',
check: async (code) => {
// Vérifier que le nouveau code s'intègre bien
const integrationIssues = [];
// Breaking changes?
const breakingChanges = await detectBreakingChanges(code);
integrationIssues.push(...breakingChanges);
// API compatibility?
const apiIssues = await checkAPICompatibility(code);
integrationIssues.push(...apiIssues);
// Dependency conflicts?
const depIssues = await checkDependencyConflicts(code);
integrationIssues.push(...depIssues);
return {
passed: integrationIssues.length === 0,
issues: integrationIssues
};
},
autoFix: false // Nécessite décision humaine
}
];
class QualityGateExecutor {
async executeAll(code: Code): Promise<QualityReport> {
const results: GateResult[] = [];
for (const gate of QUALITY_GATES) {
const result = await gate.check(code);
results.push({
gate: gate.id,
...result
});
// Auto-fix si possible et si échoué
if (!result.passed && gate.autoFix && gate.fixStrategy) {
code = await gate.fixStrategy(code, result.issues);
// Re-check
const recheck = await gate.check(code);
if (recheck.passed) {
result.fixed = true;
result.passed = true;
}
}
// Échec critique = stop
if (!result.passed && gate.severity === 'critical') {
break;
}
}
return {
passed: results.every(r => r.passed),
results,
code: code // Code potentiellement modifié par auto-fix
};
}
}
Performance & Optimisations
⚡ Token Efficiency Mode (--uc)
Objectif: Réduire l'utilisation de tokens de 30-50%
class TokenOptimizer {
// Système de symboles pour compression
private readonly SYMBOL_MAP = {
// Opérations courantes
'analyze': '→A',
'implement': '→I',
'refactor': '→R',
'optimize': '→O',
// Domaines
'frontend': 'FE',
'backend': 'BE',
'database': 'DB',
// Patterns
'function': 'fn',
'component': 'cmp',
'interface': 'int',
// États
'success': '✓',
'failed': '✗',
'pending': '○'
};
compress(text: string): string {
let compressed = text;
// 1. Remplacement par symboles
for (const [word, symbol] of Object.entries(this.SYMBOL_MAP)) {
compressed = compressed.replace(
new RegExp(`\\b${word}\\b`, 'gi'),
symbol
);
}
// 2. Suppression des mots de liaison non-essentiels
compressed = this.removeFillerWords(compressed);
// 3. Abréviations standardisées
compressed = this.applyAbbreviations(compressed);
// 4. Formats condensés
compressed = this.condenseFormats(compressed);
return compressed;
}
decompress(compressed: string): string {
let text = compressed;
// Inverse du processus de compression
const reverseMap = Object.fromEntries(
Object.entries(this.SYMBOL_MAP).map(([k, v]) => [v, k])
);
for (const [symbol, word] of Object.entries(reverseMap)) {
text = text.replace(new RegExp(symbol, 'g'), word);
}
return text;
}
// Exemple d'économie de tokens
// Avant: "I need to analyze the frontend component and implement optimizations"
// Après: "→A FE cmp, →I →O"
// Économie: ~80% (60 tokens → 12 tokens)
}
🚀 Optimisations de Performance
1. Caching Intelligent
class IntelligentCache {
private cache: Map<string, CacheEntry> = new Map();
async get<T>(
key: string,
fetcher: () => Promise<T>,
options: CacheOptions = {}
): Promise<T> {
const cached = this.cache.get(key);
// Cache hit
if (cached && !this.isExpired(cached, options.ttl)) {
return cached.value as T;
}
// Cache miss - fetch et cache
const value = await fetcher();
this.cache.set(key, {
value,
timestamp: Date.now(),
accessCount: 0
});
return value;
}
// Éviction intelligente (LRU + fréquence)
private evict(): void {
if (this.cache.size < this.maxSize) return;
// Score = recentActivity * frequency
const scores = Array.from(this.cache.entries()).map(([key, entry]) => {
const recency = Date.now() - entry.timestamp;
const score = entry.accessCount / recency;
return { key, score };
});
// Éviction de la clé avec le plus petit score
const toEvict = scores.sort((a, b) => a.score - b.score)[0];
this.cache.delete(toEvict.key);
}
}
2. Parallélisation Intelligente
class ParallelExecutor {
async executeOptimal<T>(
tasks: Task<T>[],
maxConcurrency: number = 5
): Promise<T[]> {
// Analyse des dépendances
const graph = this.buildDependencyGraph(tasks);
// Identification des groupes parallélisables
const levels = this.topologicalSort(graph);
const results: T[] = [];
// Exécution par niveaux (chaque niveau en parallèle)
for (const level of levels) {
const levelResults = await this.executeConcurrent(
level,
maxConcurrency
);
results.push(...levelResults);
}
return results;
}
private async executeConcurrent<T>(
tasks: Task<T>[],
maxConcurrency: number
): Promise<T[]> {
const results: T[] = [];
const executing: Promise<T>[] = [];
for (const task of tasks) {
const promise = task.execute().then(result => {
executing.splice(executing.indexOf(promise), 1);
return result;
});
executing.push(promise);
results.push(promise);
// Limit de concurrence atteinte
if (executing.length >= maxConcurrency) {
await Promise.race(executing);
}
}
return await Promise.all(results);
}
}
3. Resource Management
class ResourceManager {
private readonly ZONES = {
GREEN: { min: 0, max: 0.60 },
YELLOW: { min: 0.60, max: 0.75 },
ORANGE: { min: 0.75, max: 0.85 },
RED: { min: 0.85, max: 0.95 },
CRITICAL: { min: 0.95, max: 1.0 }
};
getCurrentZone(usage: number): Zone {
for (const [zone, range] of Object.entries(this.ZONES)) {
if (usage >= range.min && usage < range.max) {
return zone as Zone;
}
}
return 'CRITICAL';
}
async executeWithResourceManagement<T>(
task: Task<T>
): Promise<T> {
const initialUsage = await this.getResourceUsage();
const zone = this.getCurrentZone(initialUsage);
switch (zone) {
case 'GREEN':
// Full speed ahead
return await task.execute();
case 'YELLOW':
// Suggestions d'optimisation
console.warn('Consider using --uc flag for token efficiency');
return await task.execute();
case 'ORANGE':
// Force optimisations
task = this.optimizeTask(task);
return await task.execute();
case 'RED':
// Defer non-critical operations
if (!task.critical) {
throw new Error('Resource limit reached. Defer non-critical task.');
}
task = this.minimizeTask(task);
return await task.execute();
case 'CRITICAL':
// Emergency mode
if (!task.essential) {
throw new Error('Critical resource limit. Only essential operations allowed.');
}
return await this.executeEmergencyMode(task);
}
}
}
Personnalisation Avancée
🎨 Créer un Persona Personnalisé
// .wd/custom-personas/devops-kubernetes.ts
export const DevOpsKubernetesPersona: Persona = {
name: 'devops-kubernetes',
description: 'Kubernetes specialist for cloud-native applications',
priorities: [
{ name: 'high_availability', weight: 1.0 },
{ name: 'auto_scaling', weight: 0.95 },
{ name: 'observability', weight: 0.90 },
{ name: 'cost_optimization', weight: 0.80 }
],
activationTriggers: {
keywords: ['kubernetes', 'k8s', 'helm', 'deployment', 'pods'],
filePatterns: ['*.yaml', 'k8s/**', 'helm/**'],
contextual: (analysis) => {
return analysis.mentions('orchestration') ||
analysis.mentions('microservices');
}
},
toolPreferences: {
mcpServers: ['context7', 'sequential'],
agents: ['wd-backend-agent', 'wd-devops-agent'],
waveStrategy: 'systematic'
},
decisionLogic: {
// Logique de décision personnalisée
selectArchitecture(options: ArchitectureOption[]): ArchitectureOption {
// Priorité aux architectures cloud-native
return options.find(opt => opt.cloudNative) || options[0];
},
validateDeployment(deployment: Deployment): ValidationResult {
const checks = [
this.checkHighAvailability(deployment),
this.checkResourceLimits(deployment),
this.checkHealthChecks(deployment),
this.checkMonitoring(deployment)
];
return {
passed: checks.every(c => c.passed),
checks
};
}
},
templates: {
// Templates Kubernetes
deployment: `
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{name}}
spec:
replicas: {{replicas}}
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
template:
spec:
containers:
- name: {{container_name}}
image: {{image}}
resources:
requests:
memory: "{{memory_request}}"
cpu: "{{cpu_request}}"
limits:
memory: "{{memory_limit}}"
cpu: "{{cpu_limit}}"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
`
}
};
🔧 Créer une Commande Personnalisée
// .wd/custom-commands/deploy-staging.ts
export const DeployStagingCommand: Command = {
name: 'deploy-staging',
description: 'Deploy to staging environment with validation',
usage: '/wd:deploy-staging [--skip-tests] [--rollback]',
flags: {
'skip-tests': {
type: 'boolean',
description: 'Skip tests before deployment',
default: false
},
'rollback': {
type: 'boolean',
description: 'Rollback to previous version',
default: false
}
},
async execute(context: CommandContext): Promise<Result> {
// Logique personnalisée
if (context.flags.rollback) {
return await this.rollback(context);
}
// 1. Pre-deployment checks
await this.preDeploymentChecks(context);
// 2. Run tests (sauf si --skip-tests)
if (!context.flags['skip-tests']) {
await this.runTests(context);
}
// 3. Build for staging
await this.build(context, 'staging');
// 4. Deploy
const deployment = await this.deploy(context, 'staging');
// 5. Post-deployment validation
await this.postDeploymentValidation(deployment);
// 6. Smoke tests
await this.smokeTests(deployment);
return {
success: true,
deployment,
url: deployment.url
};
},
private async preDeploymentChecks(context: CommandContext): Promise<void> {
// Git status
const gitStatus = await exec('git status --porcelain');
if (gitStatus.trim()) {
throw new Error('Uncommitted changes detected');
}
// Branch check
const branch = await exec('git branch --show-current');
if (branch.trim() !== 'develop' && branch.trim() !== 'staging') {
throw new Error('Must be on develop or staging branch');
}
// Env variables
const requiredEnvVars = ['STAGING_API_URL', 'STAGING_DB_URL'];
for (const envVar of requiredEnvVars) {
if (!process.env[envVar]) {
throw new Error(`Missing environment variable: ${envVar}`);
}
}
}
};
📦 Créer un Agent Personnalisé
// .wd/custom-agents/data-engineer-agent.ts
export const DataEngineerAgent: Agent = {
id: 'wd-data-engineer-agent',
name: 'Data Engineer',
specialization: 'data_engineering',
capabilities: [
'ETL pipelines',
'Data warehousing',
'Big data processing',
'Data quality',
'Schema design'
],
tools: [
'Read', 'Write', 'Edit',
'Bash', 'Grep', 'Glob'
],
autonomyLevel: 'high',
canWorkInParallel: true,
async execute(task: Task): Promise<AgentResult> {
// Logique spécialisée data engineering
switch (task.type) {
case 'design_schema':
return await this.designSchema(task);
case 'create_etl':
return await this.createETLPipeline(task);
case 'optimize_queries':
return await this.optimizeQueries(task);
case 'data_quality':
return await this.implementDataQuality(task);
}
},
private async designSchema(task: Task): Promise<AgentResult> {
// 1. Analyser les requirements
const requirements = await this.analyzeRequirements(task);
// 2. Designer le schéma
const schema = await this.createSchema(requirements);
// 3. Normalisation
const normalized = this.normalizeSchema(schema);
// 4. Indexes
const indexes = this.suggestIndexes(normalized);
// 5. Documentation
const docs = this.generateSchemaDocs(normalized, indexes);
return {
schema: normalized,
indexes,
documentation: docs
};
}
};
Contribution au Framework
🤝 Comment Contribuer
1. Structure des Contributions
.wd/
├── custom-personas/ # Personas personnalisés
├── custom-commands/ # Commandes personnalisées
├── custom-agents/ # Agents personnalisés
├── custom-strategies/ # Stratégies d'orchestration
├── templates/ # Templates réutilisables
└── config.json # Configuration globale
2. Guidelines de Contribution
// Checklist pour une contribution de qualité
const CONTRIBUTION_CHECKLIST = {
code: [
'TypeScript avec types stricts',
'Documentation JSDoc complète',
'Tests unitaires (coverage ≥80%)',
'Exemples d'utilisation',
'Gestion d'erreurs robuste'
],
documentation: [
'README.md avec description claire',
'Exemples de cas d'usage',
'Guide d'installation',
'API reference',
'Changelog'
],
quality: [
'Lint passed (ESLint)',
'Format passed (Prettier)',
'Security scan passed',
'Performance acceptable',
'Backward compatible'
],
integration: [
'Compatible avec framework existant',
'Pas de conflits avec composants existants',
'Suit les conventions du projet',
'Intégration CI/CD'
]
};
3. Processus de Review
interface ContributionReview {
automated: {
linting: 'passed' | 'failed';
tests: 'passed' | 'failed';
security: 'passed' | 'failed';
performance: 'passed' | 'failed';
};
human: {
codeQuality: Score; // 0-100
documentation: Score;
usability: Score;
innovation: Score;
};
decision: 'approved' | 'changes_requested' | 'rejected';
feedback: string[];
}
🎓 Conclusion
Vous avez maintenant une compréhension approfondie de:
- ✅ L'architecture interne du WD Framework
- ✅ Les algorithmes d'orchestration et de décision
- ✅ Le système de quality gates
- ✅ Les optimisations de performance
- ✅ Comment personnaliser et étendre le framework
- ✅ Comment contribuer au projet
📚 Ressources Additionnelles
- Code Source:
.claude/plugins/marketplaces/wd-marketplace/ - Documentation Technique:
ORCHESTRATION.md - Changelog:
CHANGELOG.md - Examples:
examples/
📅 Dernière mise à jour: WD Framework v2.0 📝 Documentation générée avec WD Framework 📄 Licence: MIT
Dernière mise à jour: 12 décembre 2025
Par WD Framework Team