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v3.4.0 — Compound Learning Playbook & 18 Upstream Open-Source Benchmarks

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@napattan napattan released this 06 Nov 04:12
v3.4.0
bdb8f64

BoostX v3.4.0 Release Notes

Highlights

  • Compound Learning & Bottleneck Playbook (docs/COMPOUND_LEARNING_PLAYBOOK.md): Public-ready engineering playbook cataloging 17 Defect & Bottleneck Archetypes (PAT-VEC-01..07, PAT-COR-01..05, PAT-CON-01..05), 7 Maintainer Governance Fingerprints (GOV-01..07), 4 False-Positive Mirage Guardrails (FALS-01..04), Two-Tier Autonomy (Tier A Autonomous vs. Tier B Report-First), and Bounded Up-Tree Federation (/xbrief <-> /xsync --federated).
  • Classic Academic Engineering Workflow Diagram: Plain monochrome white-mode Mermaid lowchart TD visualizing the 6-phase closed-loop execution and ratification architecture.
  • 18 Upstream Open-Source Contributions (Batch 0 + Group A + Group B): Full empirical benchmark receipts (4.0x to 1,735.6x speedups) across libpysal, obler, momepy, osmnx, opengeos/geoai, weecology/DeepForest, ydataai/ydata-profiling, os-climate/physrisk, ladybug-tools/uwg, Deltares/hydromt, CLIMADA-project/climada_python, and
    atcap/invest.
  • Up-Tree Federated Doc Sync (xsync/scripts/audit_workspace_docs.py, 462 LOC): Added --federated parent-umbrella boundary scanning (5,458 total CLI LOC across 8 deterministic Python CLI engines).
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