Up to standards ✅

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Code Review

This is an automated benchmark documentation update (no production code changes). The review covers the data quality and patterns in the update.

Summary

All changes are documentation-only: updated benchmark numbers, dates, and Mermaid chart data across the mock benchmark markdown files and JSON data files.

Observations

Data consistency: The Mermaid upper bounds are recalculated correctly relative to the new data (e.g., Callback drops from 222,976 ns to 169,061 ns as Moq's result improved).

Performance trends in this run:

• TUnit.Mocks shows a slight regression in some categories (e.g., Callback: 659 ns → 807 ns, ~22%), but the same trend appears across all source-generated/proxy libraries in this category, which is consistent with expected daily CI benchmark variance rather than a true regression.
• Moq's Callback result improved significantly (185,813 ns → 140,883 ns), which also suggests normal run-to-run variation in the CI environment rather than a code change.

No issues found with the automated update itself. The data appears consistently applied across all files (Markdown + JSON).

Suggestion (non-blocking, for future automation improvement)

Since these benchmarks run daily on a shared CI runner, noticeable run-to-run variance (~20%) can make it hard to spot real regressions. Consider tracking a rolling average (e.g., 7-day mean) in alongside the latest results. This would make genuine performance regressions easier to distinguish from noise without adding overhead to individual benchmark runs.

Overall, this automated PR is working correctly. ✓