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Geoffrey Huntley 14b8886eee initial commmit
2025-03-01 20:23:32 +11:00

5.5 KiB

Claude Code CLI - Performance Specifications

Response Time Targets

Interactive Operations

Operation Type Target Response Time Degraded Performance Critical Threshold
Command parsing < 100ms 100-500ms > 500ms
Simple response generation < 1s 1-3s > 3s
File operations (small files) < 200ms 200-1000ms > 1s
Local search operations < 500ms 500ms-2s > 2s

AI-Dependent Operations

Operation Type Target Response Time Degraded Performance Critical Threshold
Simple AI queries 1-3s 3-8s > 8s
Complex code explanations 3-8s 8-15s > 15s
Multi-file code generation 5-15s 15-30s > 30s
Codebase analysis 10-30s 30-60s > 60s

Background Operations

Operation Type Expected Duration Progress Indication Cancellation Point
Large codebase indexing 1-5min Every 10s At file boundaries
Command execution Command-dependent Real-time Command-dependent
Large file operations 1-30s Progress percentage 10% increments
Network-dependent operations 1-30s Activity indication At request boundaries

Resource Utilization

Memory Usage

State Target Usage Maximum Allowed Optimization Trigger
Idle < 100MB 200MB > 150MB
Active conversation < 250MB 500MB > 350MB
Codebase analysis 250-500MB 1GB > 700MB
Large file operations Usage + 2x file size Usage + 3x file size > Usage + 2.5x file size

CPU Utilization

Operation Target Utilization Duration Cooling Period
Startup Up to 100% < 5s N/A
Command processing < 30% < 2s N/A
Codebase indexing Up to 70% < 5min 30s if continuous
AI response processing Up to 50% < 10s 5s between intensive operations

Disk I/O

Operation Read Rate Write Rate Batch Size
Configuration access < 5MB/s < 1MB/s Small (< 100KB)
Code browsing 10-50MB/s Minimal Medium (< 1MB)
Codebase indexing 50-200MB/s 5-20MB/s Large (5-10MB)
Log writing N/A 1-5MB/s Small (< 100KB)

Network Usage

Operation Bandwidth Latency Tolerance Retry Strategy
Authentication < 10KB Low (< 500ms) Exponential backoff, max 3 retries
AI requests 10-100KB Medium (< 2s) Exponential backoff, max 5 retries
AI responses 5-500KB High (< 10s) Resume from last chunk
Telemetry < 50KB/session Very high (minutes) Queue and retry on next session

Scaling Characteristics

Codebase Size Scaling

Codebase Size Startup Time Memory Footprint Search Performance
Small (<100 files) < 3s Base + 50MB < 500ms
Medium (100-1000 files) 3-10s Base + 100-250MB 500ms-2s
Large (1000-10000 files) 10-30s Base + 250-500MB 2-5s
Very Large (>10000 files) 30-120s Base + 500MB-1GB 5-15s

Concurrent Operations

Operation Concurrency Response Impact Memory Impact CPU Impact
Single operation Baseline Baseline Baseline
2-3 operations 1.2x slower 1.5x usage 1.5-2x usage
4+ operations 2x slower 2x usage 2-3x usage

Optimization Techniques

Caching Strategies

Cache Type Size Limit Invalidation Trigger Hit Rate Target
Command history 1000 entries Manual clear or overflow > 20%
File content 100MB File modification or 10min > 50%
AI responses 50MB Related file changes > 30%
Search results 25MB 5min or file changes > 40%

Lazy Loading

  • On-demand file content loading
  • Progressive codebase indexing
  • Background initialization of non-critical components
  • Deferred plugin loading

Parallelization

  • Multi-threaded file operations
  • Background indexing and analysis
  • Concurrent API requests where appropriate
  • Pipeline processing for command outputs

Throttling and Backpressure

  • Rate limiting for API requests
  • Disk I/O throttling during high load
  • CPU usage monitoring and task deferral
  • Memory pressure adaptive behavior

Performance Monitoring

Metrics Collection

  • Response time by operation type
  • Resource utilization trends
  • Cache effectiveness statistics
  • Error rates and patterns

User Experience Indicators

  • Time to first response
  • Command completion rate
  • Perceived latency measurements
  • User wait-time tracking

Automatic Adaptations

  • Dynamic cache size adjustment
  • Background task priority modulation
  • Resource allocation based on operation importance
  • Feature disabling under extreme resource constraints

Performance Testing

Benchmark Scenarios

  • Small/medium/large codebase initialization
  • Common command patterns execution
  • Intensive operations (search, multi-file edits)
  • Long-running session stability

Test Environments

  • Minimum specification machines
  • Average developer workstations
  • High-performance workstations
  • Various operating systems (macOS, Linux)