🤖 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
• 2025-11-18
• 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: 19449284724
• 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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Pull Request Review

I've completed my review of this automated benchmark update PR. Here's my comprehensive feedback:

Todo List:

• Read and analyze the changed benchmark files
• Review JSON data structure and consistency
• Check markdown documentation quality
• Assess automation security and reliability
• Provide comprehensive feedback and recommendations

📊 Review Summary

This automated PR updates TUnit's benchmark documentation and data. Since this is already merged, I'll provide feedback on the automation quality and suggest improvements for future iterations.

✅ Strengths

1. Data Structure & Consistency

• Well-structured JSON: All benchmark files follow a consistent schema with timestamp, category, environment, and results fields
• Proper versioning: Clear framework versions (TUnit 1.2.3, NUnit 4.4.0, etc.)
• Complete metrics: Includes Mean, Error, StdDev, and Median for statistical validity
• Environment tracking: Detailed environment info (BenchmarkDotNet v0.15.7, .NET SDK 10.0.100, Ubuntu 24.04.3)

2. Documentation Quality

• Consistent format: All markdown files follow identical structure with metadata, headers, and tables
• Visual elements: Good use of emoji icons (📊, 📈) and info boxes for readability
• Proper metadata: Correct frontmatter with title, description, and sidebar positioning
• Current timestamps: Shows "2025-11-18" indicating fresh data

3. Comprehensive Coverage

• Multiple test categories: AsyncTests, DataDrivenTests, MassiveParallelTests, etc.
• Framework comparison: Benchmarks against NUnit, MSTest, and xUnit3
• AOT performance: Separate TUnit_AOT results showing significant performance gains
• Build benchmarks: Includes compilation time comparisons

⚠️ Areas for Improvement

1. Code Quality Issues

Minor inconsistency in BuildTime.md:22

| Build_NUnit | 4.4.0 | 1.556 s | 1.557 s | 0.0171 s |

The method name should be consistent - either "NUnit" or "Build_NUnit" across all tables.

2. Security Considerations

✅ Safe automation:

• No secrets or credentials exposed
• Only updates documentation files (docs/static/benchmarks/, docs/docs/benchmarks/)
• Read-only data consumption from workflow artifacts

✅ Workflow isolation:

• Triggered by schedule, not external input
• No dynamic code execution in data files

3. Performance Considerations

Data efficiency:

• JSON files are reasonably sized (14-303 lines)
• Historical data accumulation could grow large over time
• Consider implementing data retention policy (e.g., keep last 12 months)

Build impact:

• 18 files changed with 340 additions/336 deletions is reasonable
• Documentation-only changes don't affect runtime performance

4. Test Coverage

Missing validation:

• No schema validation for benchmark JSON files
• No format validation for generated markdown
• Consider adding tests to validate:
  • JSON structure consistency
  • Required fields presence
  • Timestamp format validity
  • Performance regression detection

🚀 Outstanding Performance Results

The benchmarks show impressive TUnit performance:

• AsyncTests: TUnit (556.5ms) vs NUnit (663.3ms) - 16% faster
• TUnit AOT: 124.5ms - 78% faster than standard TUnit
• Build times: TUnit (1.947s) vs fastest competitor (1.523s) - slightly slower but acceptable

📋 Recommendations for Future Improvements

1. Add validation pipeline:

   - name: Validate benchmark data
     run: |
       # Validate JSON schema
       # Check for performance regressions
       # Verify all required frameworks present

2. Implement data retention:

   • Archive historical data older than 12 months
   • Compress historical.json if it grows large

3. Add metadata tracking:

   • Include Git commit hash in benchmark metadata
   • Track benchmark execution duration

4. Consider automated alerts:

   • Notify on significant performance regressions
   • Alert on benchmark failure rates

🎯 Overall Assessment

Verdict: ✅ High Quality Automation

This automated benchmark update system demonstrates excellent engineering practices:

• Consistent data structure and documentation
• Comprehensive test coverage across multiple scenarios
• Clear performance metrics with statistical validity
• Safe automation with no security concerns

The automation effectively showcases TUnit's competitive performance, particularly the impressive AOT results. This type of automated documentation keeps the project's performance claims current and trustworthy.

Rating: 9/10 - Minor improvements suggested, but overall excellent implementation.