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russell@unturf.com 1f83eaf175 Add aggregated performance analysis with dynamic version discovery 
- Add perf-aggregate-report CI job to analyze variance across releases
- Implement dynamic version discovery using git tags (ever-growing)
- Generate charts via UN sandbox using matplotlib
- Create AGGREGATED-PERFORMANCE.md with comprehensive methodology
- Add Makefile target for local report generation
- Include 3 visualization charts showing variance trends

Key findings: 2-3x performance variance due to orchestrator placement
on CPU-bound pool causing non-deterministic scheduling.
2026-01-19 13:13:22 -05:00
..
4.2.0 feat(ci): Auto-generate enhanced perf.md with embedded charts 2026-01-18 20:08:38 -05:00
4.2.3 perf - Add performance report for 4.2.3 [ci skip] 2026-01-19 06:58:57 -05:00
4.2.4 perf - Add performance report for 4.2.4 [ci skip] 2026-01-19 07:02:22 -05:00
aggregated-duration-trend.png Add aggregated performance analysis with dynamic version discovery 2026-01-19 13:13:22 -05:00
aggregated-language-variance.png Add aggregated performance analysis with dynamic version discovery 2026-01-19 13:13:22 -05:00
aggregated-ranking-changes.png Add aggregated performance analysis with dynamic version discovery 2026-01-19 13:13:22 -05:00
PERFORMANCE-HISTORY.md perf - Add performance report for 4.2.4 [ci skip] 2026-01-19 07:02:22 -05:00