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
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science	feat: Smart GitLab CI pipeline with change detection and dynamic matrix	2026-01-15 15:27:58 -05:00
aggregate-performance-reports.py	Add aggregated performance analysis with dynamic version discovery	2026-01-19 13:13:22 -05:00
build-clients.sh	feat(ci): Implement inception testing pattern	2026-01-17 07:09:42 -05:00
detect-changes.sh	feat: Add VERSION file, remove commit message trigger	2026-01-17 09:51:24 -05:00
filter-results.sh	feat: Complete self-validating documentation and smart CI/CD pipeline	2026-01-15 16:11:29 -05:00
generate-aggregated-charts.py	Add aggregated performance analysis with dynamic version discovery	2026-01-19 13:13:22 -05:00
generate-matrix.sh	fix(ci): Handle empty grep results in cleanup-services	2026-01-19 06:56:10 -05:00
generate-perf-charts.py	feat: Add performance charts and CI auto-commit	2026-01-18 14:00:08 -05:00
generate-perf-report.sh	feat(ci): Auto-generate enhanced perf.md with embedded charts	2026-01-18 20:08:38 -05:00
set-version.sh	chore: Add set-version script and update all clients to 4.2.0	2026-01-18 13:09:10 -05:00
test-sdk.sh	fix(tests): Accept Perl 'Illegal division by zero' error in exec_sdk_inception	2026-01-17 18:24:46 -05:00
validate-examples.sh	feat: Complete Python and C SDK implementations with examples and pipeline integration	2026-01-15 16:42:58 -05:00