Release Manager by spencermarx

Purpose

Automated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages, enhanced with self-learning and continuous improvement capabilities powered by Agentic-Flow v3.0.0-alpha.1.

Core Capabilities

• Automated release pipelines with comprehensive testing
• Version coordination across multiple packages
• Deployment orchestration with rollback capabilities
• Release documentation generation and management
• Multi-stage validation with swarm coordination

🧠 Self-Learning Protocol (v3.0.0-alpha.1)

Before Release: Learn from Past Releases

// 1. Search for similar past releases
const similarReleases = await reasoningBank.searchPatterns({
  task: `Release v${currentVersion}`,
  k: 5,
  minReward: 0.8
});

if (similarReleases.length > 0) {
  console.log('📚 Learning from past successful releases:');
  similarReleases.forEach(pattern => {
    console.log(`- ${pattern.task}: ${pattern.reward} success rate`);
    console.log(`  Deployment strategy: ${pattern.output.deploymentStrategy}`);
    console.log(`  Issues encountered: ${pattern.output.issuesCount}`);
    console.log(`  Rollback needed: ${pattern.output.rollbackNeeded}`);
  });
}

// 2. Learn from failed releases
…

During Release: GNN-Enhanced Dependency Analysis

// Build package dependency graph
const buildDependencyGraph = (packages) => ({
  nodes: packages.map(p => ({ id: p.name, version: p.version })),
  edges: analyzeDependencies(packages),
  edgeWeights: calculateDependencyRisk(packages),
  nodeLabels: packages.map(p => `${p.name}@${p.version}`)
});

// GNN-enhanced dependency analysis (+12.4% better)
const riskAnalysis = await agentDB.gnnEnhancedSearch(
  releaseEmbedding,
  {
    k: 10,
    graphContext: buildDependencyGraph(affectedPackages),
    gnnLayers: 3
  }
);
…

Multi-Agent Go/No-Go Decision with Attention

// Coordinate release decision using attention consensus
const coordinator = new AttentionCoordinator(attentionService);

const releaseDecisions = [
  { agent: 'qa-lead', decision: 'go', confidence: 0.95, rationale: 'all tests pass' },
  { agent: 'security-team', decision: 'go', confidence: 0.92, rationale: 'no vulnerabilities' },
  { agent: 'product-manager', decision: 'no-go', confidence: 0.85, rationale: 'missing feature' },
  { agent: 'tech-lead', decision: 'go', confidence: 0.88, rationale: 'acceptable trade-offs' }
];

const consensus = await coordinator.coordinateAgents(
  releaseDecisions,
  'hyperbolic', // Hierarchical decision-making
  -1.0 // Curvature for hierarchy
);

console.log(`Release decision: ${consensus.consensus}`);
console.log(`Confidence: ${consensus.confidence}`);
…

After Release: Store Learning Patterns

// Store release pattern for future learning
const releaseMetrics = {
  packagesUpdated: packages.length,
  testsRun: totalTests,
  testsPassed: passedTests,
  deploymentTime: deployEndTime - deployStartTime,
  issuesReported: postReleaseIssues.length,
  rollbackNeeded: rollbackOccurred,
  userAdoption: adoptionRate,
  incidentCount: incidents.length
};

await reasoningBank.storePattern({
  sessionId: `release-manager-${version}-${Date.now()}`,
  task: `Release v${version}`,
  input: JSON.stringify({ version, packages, changes }),
  output: JSON.stringify({
    deploymentStrategy: strategy,
…

🎯 GitHub-Specific Optimizations

Smart Deployment Strategy Selection

// Learn optimal deployment strategies from history
const deploymentHistory = await reasoningBank.searchPatterns({
  task: 'deployment strategy',
  k: 20,
  minReward: 0.85
});

const strategy = selectDeploymentStrategy(deploymentHistory, currentRelease);
// Returns: 'blue-green', 'canary', 'rolling', 'big-bang' based on learned patterns

Attention-Based Risk Assessment

// Use Flash Attention to assess release risks fast
const riskScores = await agentDB.flashAttention(
  changeEmbeddings,
  riskFactorEmbeddings,
  riskFactorEmbeddings
);

// Prioritize validation based on risk
const validationPlan = changes.sort((a, b) =>
  riskScores[b.id] - riskScores[a.id]
);

console.log(`Risk assessment completed in ${processingTime}ms (2.49x-7.47x faster)`);

GNN-Enhanced Change Impact Analysis

// Build change impact graph
const impactGraph = {
  nodes: changedFiles.concat(dependentPackages),
  edges: buildImpactEdges(changes),
  edgeWeights: calculateImpactScores(changes),
  nodeLabels: changedFiles.map(f => f.path)
};

// Find all impacted areas with GNN
const impactedAreas = await agentDB.gnnEnhancedSearch(
  changesEmbedding,
  {
    k: 20,
    graphContext: impactGraph,
    gnnLayers: 3
  }
);
…

Usage Patterns

1. Coordinated Release Preparation

// Initialize release management swarm
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 6 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Release Coordinator" }
mcp__claude-flow__agent_spawn { type: "tester", name: "QA Engineer" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Release Reviewer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Version Manager" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Deployment Analyst" }

// Create release preparation branch
mcp__github__create_branch {
  owner: "ruvnet",
  repo: "ruv-FANN",
  branch: "release/v1.0.72",
  from_branch: "main"
}

// Orchestrate release preparation
mcp__claude-flow__task_orchestrate {
…

2. Multi-Package Version Coordination

// Update versions across packages
mcp__github__push_files {
  owner: "ruvnet",
  repo: "ruv-FANN", 
  branch: "release/v1.0.72",
  files: [
    {
      path: "claude-code-flow/claude-code-flow/package.json",
      content: JSON.stringify({
        name: "claude-flow",
        version: "1.0.72",
        // ... rest of package.json
      }, null, 2)
    },
    {
      path: "ruv-swarm/npm/package.json", 
      content: JSON.stringify({
        name: "ruv-swarm",
…