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πŸ“Š COMPREHENSIVE: Establish Performance Baselines & Regression DetectionΒ #131

@LarsArtmann

Description

@LarsArtmann

🎯 OBJECTIVE

Complete comprehensive performance baseline establishment for Setup-Mac cross-platform development environment to enable optimization tracking and regression detection.

πŸ“‹ CURRENT STATUS

Previous Work:

  • βœ… Shell startup benchmarking implemented (just benchmark-shells)
  • βœ… Performance monitoring tools deployed (ActivityWatch, Netdata)
  • βœ… System health checks implemented (just health)
  • ⚠️ No comprehensive baseline measurements
  • ⚠️ No automated regression detection
  • ⚠️ No application-level performance tracking

🎯 IMPLEMENTATION PLAN

Phase 1: Core Baseline Metrics (HIGH PRIORITY)

  • Shell Performance Baseline

    • Measure zsh, fish startup times (10 runs each)
    • Measure shell command execution performance
    • Document baseline in docs/performance/baseline-shell.md
    • Set performance thresholds in performance-thresholds.json
  • System Performance Baseline

    • CPU benchmarking (single-core, multi-core)
    • Memory allocation and deallocation performance
    • Disk I/O performance (SSD read/write speeds)
    • Network performance (bandwidth, latency)
    • Document baseline in docs/performance/baseline-system.md
  • Development Tool Performance

    • Go build times for standard project sizes
    • TypeScript compilation times
    • Nix evaluation and build times
    • Just command execution times
    • Document baseline in docs/performance/baseline-tools.md

Phase 2: Cross-Platform Comparison (MEDIUM PRIORITY)

  • macOS vs NixOS Performance

    • Run identical benchmarks on both platforms
    • Document platform-specific differences
    • Identify cross-platform optimization opportunities
    • Create performance comparison matrix
  • Hardware-Specific Optimizations

    • EVO-X2 (AMD Ryzen AI Max+ 395) performance profiling
    • MacBook Air (Apple Silicon M2) performance profiling
    • GPU acceleration performance measurements
    • Memory and storage optimization validation

Phase 3: Automated Regression Detection (HIGH PRIORITY)

  • Performance Alerting System

    • Implement automated baseline comparison
    • Create performance regression alerts
    • Integrate with Just commands (just perf-check)
    • Document performance thresholds
  • Continuous Performance Tracking

    • Automated daily performance measurements
    • Historical performance database
    • Performance trend analysis
    • Regression detection and reporting

Phase 4: Application-Level Monitoring (MEDIUM PRIORITY)

  • Development Workflow Performance

    • Time from code change to deployment
    • IDE startup and responsiveness measurements
    • Build pipeline performance analysis
    • Debug session performance tracking
  • Resource Usage Monitoring

    • CPU, memory, disk usage during development
    • Identify resource bottlenecks
    • Optimization recommendations
    • Automated resource usage alerts

πŸ”§ TECHNICAL IMPLEMENTATION

Performance Data Structure

{
  "baseline": {
    "shell": {
      "zsh_startup_ms": 850,
      "fish_startup_ms": 620,
      "benchmark_date": "2025-12-06"
    },
    "system": {
      "cpu_single_core": 2800,
      "cpu_multi_core": 11200,
      "memory_bandwidth": "68 GB/s",
      "disk_read_mb_s": 3200,
      "disk_write_mb_s": 2800
    },
    "tools": {
      "go_build_small_s": 2.3,
      "go_build_medium_s": 12.7,
      "nix_eval_s": 4.1,
      "just_switch_s": 8.9
    }
  },
  "thresholds": {
    "shell_regression_percent": 15,
    "system_regression_percent": 10,
    "tools_regression_percent": 20
  }
}

Just Commands to Implement

just baseline-establish    # Create comprehensive baseline
just baseline-check       # Compare against baseline
just perf-track          # Daily performance tracking
just perf-report         # Generate performance report
just perf-alerts         # Show performance regressions

πŸ“Š SUCCESS METRICS

  1. βœ… Comprehensive Baseline: All performance areas measured and documented
  2. βœ… Cross-Platform Comparison: macOS vs NixOS performance matrix complete
  3. βœ… Automated Tracking: Daily performance measurements automated
  4. βœ… Regression Detection: Performance regressions automatically detected and alerted
  5. βœ… Optimization Impact: Performance improvements measurable and documented
  6. βœ… Documentation Complete: All baselines and procedures documented

🚨 BLOCKERS & RISKS

Current Blockers:

  • No Baseline Data: Starting from scratch, need to establish all measurements
  • Cross-Platform Testing: Need both macOS and NixOS systems for comparison
  • Hardware Access: EVO-X2 hardware not yet deployed for real-world testing

Mitigation Strategies:

  • Progressive Implementation: Start with macOS baseline, expand to NixOS
  • Simulation Testing: Use QEMU for NixOS testing if hardware unavailable
  • Conservative Thresholds: Set generous initial thresholds, tighten over time

πŸŽ–οΈ PRIORITY LEVELS

πŸ”΄ HIGH PRIORITY (This Week)

  • Shell performance baseline establishment
  • System performance baseline establishment
  • Automated regression detection implementation
  • Performance alerting system

🟑 MEDIUM PRIORITY (Next 2 Weeks)

  • Cross-platform performance comparison
  • Application-level performance monitoring
  • Hardware-specific optimization validation
  • Continuous performance tracking

🟒 LOW PRIORITY (Next Month)

  • Advanced performance analytics
  • Performance optimization recommendations
  • Automated performance tuning
  • Community performance data sharing

πŸ“š EXISTING RESOURCES

  • justfile - Existing benchmark commands to enhance
  • performance-thresholds.json - Current performance data structure
  • docs/status/ - Performance monitoring history
  • platforms/ - Cross-platform optimization opportunities
  • AGENTS.md - Agent guidance for performance work

πŸ”— RELATED ISSUES


πŸ• Created: 2025-12-06
🎯 Target Completion: 2025-12-13 (Phase 1), 2025-12-20 (Phase 2-3)
πŸ“Š Estimated Effort: 12-16 hours total
πŸ” Dependencies: EVO-X2 deployment for hardware-specific baselines

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