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Performance Optimization Guide

Optimize Claude Code performance for faster responses, reduced token usage, and efficient workflows.

Model Selection Strategies​

Choose the Right Model​

Different models for different tasks:

{
  "model_routing": {
    "quick_questions": "claude-3-haiku",
    "code_generation": "claude-3-sonnet", 
    "complex_analysis": "claude-3-opus",
    "batch_processing": "claude-3-haiku"
  }
}

Dynamic Model Switching​

# Switch models during session
claude-code --model=haiku "Quick question about syntax"
claude-code --model=opus "Deep architectural analysis"

# Auto-select based on complexity
claude-code --smart-routing "Implement user authentication"

Model Performance Characteristics​

ModelSpeedQualityCostBest For
HaikuFastGoodLowQuick tasks, iterations
SonnetModerateExcellentMediumCode generation, analysis
OpusSlowerSuperiorHighComplex problems, architecture

Context Window Optimization​

Efficient Context Usage​

Strategic File Reading​

# Good: Read specific sections
claude-code read src/auth.ts --lines=50-100

# Better: Use targeted search
claude-code grep "authentication" --type=ts

# Best: Let agent search intelligently
claude-code task "Find authentication implementation"

Context Prioritization​

{
  "context_priority": {
    "high": ["current_files", "error_messages", "user_intent"],
    "medium": ["project_structure", "recent_changes"],
    "low": ["historical_context", "documentation"]
  }
}

Memory Management​

Session Segmentation​

# Start focused session
claude-code --session=auth-feature --context=minimal

# Segment by feature
claude-code --session=frontend --include="src/components/**"
claude-code --session=backend --include="src/api/**"

Context Reset Strategies​

# Automatic reset after threshold
claude-code --auto-reset-at=75%

# Manual reset with summary
claude-code --reset-with-summary

# Selective context clearing
claude-code --clear=historical --keep=current

Workflow Efficiency​

Batch Operations​

Parallel Tool Execution​

// Execute multiple operations concurrently
const results = await Promise.all([
  readFile('src/component.tsx'),
  grepPattern('useState', '**/*.tsx'),
  runTests('component.test.tsx')
]);

Bulk File Operations​

# Process multiple files efficiently
claude-code batch-edit \
  --pattern="**/*.tsx" \
  --operation="add-prop-types" \
  --parallel=true

Workflow Caching​

Result Caching​

{
  "caching": {
    "tool_results": {
      "ttl": 300,
      "max_size": "100MB"
    },
    "file_contents": {
      "ttl": 60,
      "watch_changes": true
    },
    "search_results": {
      "ttl": 600,
      "invalidate_on": ["file_changes"]
    }
  }
}

Intelligent Invalidation​

# Cache with dependencies
claude-code cache set "test-results" \
  --depends-on="src/**/*.ts,tests/**/*.ts" \
  --ttl=3600

Response Optimization​

Concise Communication​

Response Templates​

{
  "response_templates": {
    "code_change": "Changed {{file}}:{{line}} - {{description}}",
    "test_result": "{{status}} - {{passed}}/{{total}} tests passed",
    "build_status": "Build {{status}} in {{duration}}ms"
  }
}

Structured Outputs​

# Request structured responses
claude-code --format=json "Analyze code quality"
claude-code --format=table "Compare framework options"
claude-code --format=checklist "Review deployment readiness"

Progressive Enhancement​

Layered Information​

Level 1: Direct answer to question
Level 2: Implementation details (on request)
Level 3: Alternative approaches (on request)
Level 4: Deep technical analysis (on request)

Efficiency Measurement​

Performance Metrics​

Response Time Tracking​

# Enable performance monitoring
claude-code --performance-mode

# View session metrics
claude-code metrics --session=current

# Historical performance data
claude-code metrics --period=7d --breakdown=model

Token Usage Analysis​

{
  "token_metrics": {
    "input_tokens": 1500,
    "output_tokens": 800,
    "cached_tokens": 300,
    "efficiency_ratio": 0.73
  }
}

Optimization Recommendations​

# Get optimization suggestions
claude-code optimize --analyze-session

# Sample output:
# ✅ Context usage: 68% (good)
# ⚠️  Model selection: Use Haiku for 23% of queries
# ❌ Redundant reads: 5 files read multiple times
# 💡 Suggestion: Enable context caching

Advanced Optimization Techniques​

Context Compression​

Semantic Compression​

{
  "compression": {
    "method": "semantic",
    "preserve": ["code_structure", "error_messages"],
    "compress": ["verbose_logs", "repeated_content"],
    "ratio": 0.3
  }
}

Smart Summarization​

# Compress conversation history
claude-code --compress-history --keep-decisions

# Maintain key information
claude-code --summarize --preserve=["architecture", "constraints"]

Workflow Design Patterns​

Lazy Loading​

// Load expensive data only when needed
const getData = lazy(() => {
  return expensiveDataFetch();
});

// Use data when required
if (needsData) {
  const data = await getData();
}

Resource Pooling​

// Pool expensive resources
const agentPool = new Pool({
  create: () => new SpecializedAgent(),
  max: 5,
  min: 1
});

// Reuse agents efficiently
const agent = await agentPool.acquire();
const result = await agent.process(task);
agentPool.release(agent);

Benchmarking & Profiling​

Performance Baselines​

# Establish performance baselines
claude-code benchmark \
  --tasks="code-generation,file-analysis,test-creation" \
  --iterations=10 \
  --output=baseline.json

Continuous Monitoring​

{
  "monitoring": {
    "response_time": {
      "target": "< 2s",
      "alert_threshold": "5s"
    },
    "token_efficiency": {
      "target": "> 0.7",
      "alert_threshold": "< 0.5"  
    },
    "context_usage": {
      "target": "< 80%",
      "alert_threshold": "> 95%"
    }
  }
}

A/B Testing​

# Test optimization strategies
claude-code ab-test \
  --strategy-a="current" \
  --strategy-b="optimized" \
  --metric="response_time" \
  --duration=1h

Resource Management​

Memory Optimization​

Smart Garbage Collection​

{
  "memory_management": {
    "gc_interval": 300000,
    "max_heap": "512MB",
    "cache_cleanup": {
      "unused_for": "1h",
      "size_threshold": "50MB"
    }
  }
}

Context Pruning​

# Automatic context pruning
claude-code --auto-prune-context \
  --keep-recent=10 \
  --keep-important=true \
  --prune-duplicates=true

CPU Optimization​

Parallel Processing​

{
  "parallel_processing": {
    "max_workers": 4,
    "queue_size": 100,
    "task_distribution": "round_robin"
  }
}

Process Prioritization​

# Set process priorities
claude-code --priority=high "Critical bug fix"
claude-code --priority=low "Code documentation"

Network Optimization​

Request Batching​

// Batch API requests
const batchRequests = [
  { tool: 'read', params: { file: 'a.ts' } },
  { tool: 'read', params: { file: 'b.ts' } },
  { tool: 'grep', params: { pattern: 'error' } }
];

await executeBatch(batchRequests);

Connection Management​

{
  "network": {
    "max_connections": 10,
    "connection_timeout": 30000,
    "retry_strategy": {
      "max_retries": 3,
      "backoff": "exponential"
    }
  }
}

Optimization Checklist​

Pre-Session Optimization​

  • Choose appropriate model for task complexity
  • Configure context management settings
  • Enable relevant caching
  • Set up performance monitoring

During Session​

  • Use batch operations when possible
  • Minimize redundant file reads
  • Leverage context compression
  • Monitor token usage

Post-Session Analysis​

  • Review performance metrics
  • Identify optimization opportunities
  • Update configurations based on learnings
  • Share insights with team

Performance Monitoring Dashboard​

Key Metrics​

{
  "dashboard": {
    "response_times": {
      "p50": "1.2s",
      "p95": "3.1s", 
      "p99": "5.4s"
    },
    "token_usage": {
      "avg_input": 1200,
      "avg_output": 650,
      "efficiency": 0.71
    },
    "workflow_success": {
      "completion_rate": "94%",
      "error_rate": "6%"
    }
  }
}

Alerts and Notifications​

# Configure performance alerts
claude-code alerts set \
  --metric="response_time" \
  --threshold="5s" \
  --action="slack-notify"

# Email reports
claude-code reports schedule \
  --frequency=weekly \
  --metrics="all" \
  --email="team@company.com"

Next Steps​