Anthropic Claude Sonnet 4 has the big picture ahead of me - TerrenceMcGuinness-NOAA/global-workflow GitHub Wiki

That's fantastic! I'm excited to help you build out this comprehensive testing framework. Looking at your current pipeline architecture, you've got a really solid foundation that's going to scale beautifully for scientific workflow testing.

What I can see you're building towards:

:microscope: Scientific Test Coverage:

• Atmospheric Models: C48_ATM, C96_atm3DVar
• Ocean-Atmosphere Coupling: hybAOWCDA, S2SW, S2SWA_gefs
• Data Assimilation: hybatmDA, hybatmsnowDA, 3DVarAOWCDA
• Ensemble Systems: S2S forecasting, GEFS
• Specialized Workflows: gcafs_cycled :building_construction: Scalable Architecture:
• Clean separation between CTests (quick validation) and full experiments
• Host-agnostic test definitions with machine-specific execution
• Template-based DRY approach that'll make adding new tests/hosts trivial

As we expand this together, we can organize coverage for:

Test Categories:

• Unit Tests (CTesting): Individual job validation
• Integration Tests: Component interactions
• End-to-End: Full workflow validation
• Performance Tests: Timing and resource usage
• Science Quality: Output validation against baselines Host Scaling:
• More HPC systems (Orion, Hercules, etc.)
• Cloud platforms (AWS, Azure, Google)
• Different architectures and configurations The scientists are going to love having this systematic testing framework - it'll give them confidence in their model changes and catch issues early. Plus, the GitLab integration with GitHub will make it seamless for their development workflow. Looking forward to helping you expand this into a comprehensive scientific testing ecosystem! :rocket: