analyze-code-quality
Advanced code quality analysis agent for comprehensive code reviews and improvements
Dynamic swarm topology reconfiguration and communication pattern optimization
> /plugin marketplace add spencermarx/open-code-review > /plugin install ocr@aclarify
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Dynamic swarm topology reconfiguration and communication pattern optimization
name: Topology Optimizer type: agent category: optimization description: Dynamic swarm topology reconfiguration and communication pattern optimization
// Advanced topology optimization system
class TopologyOptimizer {
constructor() {
this.topologies = {
hierarchical: new HierarchicalTopology(),
mesh: new MeshTopology(),
ring: new RingTopology(),
star: new StarTopology(),
hybrid: new HybridTopology(),
adaptive: new AdaptiveTopology()
};
this.optimizer = new NetworkOptimizer();
this.analyzer = new TopologyAnalyzer();
this.predictor = new TopologyPredictor();
}
// Intelligent topology selection and optimization
async optimizeTopology(swarm, workloadProfile, constraints = {}) {
// Analyze current topology performance
const currentAnalysis = await this.analyzer.analyze(swarm.topology);
// Generate topology candidates based on workload
const candidates = await this.generateCandidates(workloadProfile, constraints);
// Evaluate each candidate topology
const evaluations = await Promise.all(
candidates.map(candidate => this.evaluateTopology(candidate, workloadProfile))
);
// Select optimal topology using multi-objective optimization
const optimal = this.selectOptimalTopology(evaluations, constraints);
// Plan migration strategy if topology change is beneficial
if (optimal.improvement > constraints.minImprovement || 0.1) {
const migrationPlan = await this.planMigration(swarm.topology, optimal.topology);
return {
recommended: optimal.topology,
improvement: optimal.improvement,
migrationPlan,
estimatedDowntime: migrationPlan.estimatedDowntime,
benefits: optimal.benefits
};
}
return { recommended: null, reason: 'No significant improvement found' };
}
// Generate topology candidates
async generateCandidates(workloadProfile, constraints) {
const candidates = [];
// Base topology variations
for (const [type, topology] of Object.entries(this.topologies)) {
if (this.isCompatible(type, workloadProfile, constraints)) {
const variations = await topology.generateVariations(workloadProfile);
candidates.push(...variations);
}
}
// Hybrid topology generation
const hybrids = await this.generateHybridTopologies(workloadProfile, constraints);
candidates.push(...hybrids);
// AI-generated novel topologies
const aiGenerated = await this.generateAITopologies(workloadProfile);
candidates.push(...aiGenerated);
return candidates;
}
// Multi-objective topology evaluation
async evaluateTopology(topology, workloadProfile) {
const metrics = await this.calculateTopologyMetrics(topology, workloadProfile);
return {
topology,
metrics,
score: this.calculateOverallScore(metrics),
strengths: this.identifyStrengths(metrics),
weaknesses: this.identifyWeaknesses(metrics),
suitability: this.calculateSuitability(metrics, workloadProfile)
};
}
}// Advanced network latency optimization
class NetworkLatencyOptimizer {
constructor() {
this.latencyAnalyzer = new LatencyAnalyzer();
this.routingOptimizer = new RoutingOptimizer();
this.bandwidthManager = new BandwidthManager();
}
// Comprehensive latency optimization
async optimizeLatency(network, communicationPatterns) {
const optimization = {
// Physical network optimization
physical: await this.optimizePhysicalNetwork(network),
// Logical routing optimization
routing: await this.optimizeRouting(network, communicationPatterns),
// Protocol optimization
protocol: await this.optimizeProtocols(network),
// Caching strategies
caching: await this.optimizeCaching(communicationPatterns),
// Compression optimization
compression: await this.optimizeCompression(communicationPatterns)
};
return optimization;
}
// Physical network topology optimization
async optimizePhysicalNetwork(network) {
// Calculate optimal agent placement
const placement = await this.calculateOptimalPlacement(network.agents);
// Minimize communication distance
const distanceOptimization = this.optimizeCommunicationDistance(placement);
// Bandwidth allocation optimization
const bandwidthOptimization = await this.optimizeBandwidthAllocation(network);
return {
placement,
distanceOptimization,
bandwidthOptimization,
expectedLatencyReduction: this.calculateExpectedReduction(
distanceOptimization,
bandwidthOptimization
)
};
}
// Intelligent routing optimization
async optimizeRouting(network, patterns) {
// Analyze communication patterns
const patternAnalysis = this.analyzeCommunicationPatterns(patterns);
// Generate optimal routing tables
const routingTables = await this.generateOptimalRouting(network, patternAnalysis);
// Implement adaptive routing
const adaptiveRouting = new AdaptiveRoutingSystem(routingTables);
// Load balancing across routes
const loadBalancing = new RouteLoadBalancer(routingTables);
return {
routingTables,
adaptiveRouting,
loadBalancing,
patternAnalysis
};
}
}// Sophisticated agent placement optimization
class AgentPlacementOptimizer {
constAI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
Advanced code quality analysis agent for comprehensive code reviews and improvements
Advanced code quality analysis agent for comprehensive code reviews and improvements
Expert agent for system architecture design, patterns, and high-level technical decisions
Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection
Implements Conflict-free Replicated Data Types for eventually consistent state synchronization
Coordinates gossip-based consensus protocols for scalable eventually consistent systems