🤖 Update Benchmark Results

[thomhurst]

Automated Benchmark Update

This PR updates the benchmark documentation with the latest results from the Speed Comparison workflow.

Benchmarks Produced

Individual benchmark artifacts are available for download:

• benchmark-DataDrivenTests
• benchmark-AsyncTests
• benchmark-ScaleTests
• benchmark-MatrixTests
• benchmark-MassiveParallelTests
• benchmark-SetupTeardownTests
• benchmark-BuildTime
• benchmark-summary (aggregated overview)

Runtime Benchmarks

• AsyncTests
• DataDrivenTests
• MassiveParallelTests
• MatrixTests
• ScaleTests
• SetupTeardownTests

Build Benchmarks

• BuildTime
• 2025-11-23
• Ubuntu Latest • .NET SDK 10.0.100

Changes

• Updated benchmark data in docs/static/benchmarks/latest.json
• Updated historical trends in docs/static/benchmarks/historical.json
• Regenerated benchmark documentation in docs/docs/benchmarks/index.md
• Updated benchmark summary in docs/static/benchmarks/summary.json

Workflow Run

• Run ID: 19603301678
• Triggered: schedule
• Date:

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🤖 This PR was automatically created and will be merged automatically once CI checks pass.

[claude]

Claude finished @thomhurst's task —— View job

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🔍 Reviewing Benchmark Update PR

Todo List:

• Read repository guidelines (CLAUDE.md)
• Examine benchmark data structure and format
• Review JSON data files for consistency
• Check markdown documentation updates
• Assess automated process quality
• Provide comprehensive feedback

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✅ Code Quality Review

This automated PR demonstrates excellent engineering practices for benchmark data management. Here's my comprehensive analysis:

🎯 Strengths

Data Structure & Consistency

• Well-structured JSON schema: Consistent structure across all benchmark files with proper metadata (timestamp, environment, results)
• Version tracking: Proper framework version tracking (TUnit 1.2.11, NUnit 4.4.0, etc.)
• Environment documentation: Complete environment details including .NET SDK 10.0.100, BenchmarkDotNet v0.15.7, Ubuntu 24.04.3 LTS
• Proper data types: Consistent use of strings for measurements with units ("565.8 ms", "2.057 s")

Documentation Quality

• Auto-generated markdown: Clean, well-formatted documentation with proper frontmatter
• Visual representations: Good use of Mermaid charts for benchmark visualization
• Consistent timestamps: All files updated with same timestamp (2025-11-23T00:33:08Z)
• Clear categorization: Proper separation of runtime vs build benchmarks

Automation Excellence

• Atomic updates: All related files updated together (18 files in single commit)
• Historical tracking: historical.json properly maintained for trend analysis
• Aggregated data: latest.json consolidates all benchmark categories efficiently

🔧 Technical Assessment

Performance Considerations

• Excellent performance results: TUnit shows strong performance, especially AOT (124.2ms vs 565.8ms regular)
• Statistical rigor: Proper error margins and standard deviations included
• Meaningful comparisons: Testing against current framework versions

Security & Best Practices

• No security concerns: Pure data files with no executable code
• No sensitive data exposure: Only benchmark metrics and environment info
• Proper file permissions: Standard documentation files

Data Integrity

• Consistent format: All JSON files follow identical schema
• Complete coverage: All 6 runtime + 1 build benchmark included
• No data corruption: All numeric values properly formatted with units

🚀 Process Quality

Automation Maturity

• Scheduled execution: Properly triggered by schedule (not manual)
• Comprehensive workflow: Covers all benchmark types systematically
• Artifact availability: Individual benchmark artifacts downloadable
• Integration: Seamlessly updates documentation site

📊 Potential Improvements (Minor)

1. Build time analysis: TUnit shows slightly slower build time (2.057s vs ~1.6s others) - consider investigating source generator overhead
2. Historical data format: Could include more metadata in historical.json (versions, performance deltas)
3. Error handling: Consider adding validation for benchmark data completeness

🎯 Alignment with TUnit Guidelines

✅ Performance-first: Benchmark automation supports Rule 4 (Performance First)
✅ Quality standards: Consistent with TUnit's reliability principles
✅ Modern practices: Automated CI/CD integration follows best practices

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🏆 Final Assessment

This is exemplary automation engineering. The PR demonstrates:

• Professional-grade CI/CD practices
• Comprehensive benchmark coverage
• Clean data management with proper versioning
• User-friendly documentation generation
• Zero technical debt introduced

The automated benchmark system provides valuable performance insights while maintaining high code quality standards. No changes needed.

Recommendation: ✅ Approve - This automated process should be considered a model for other similar automations.