Learning Learning Paths

Learning Paths

Use these paths to match the curriculum to the learner's role. The projects are modular, so teams can run a short workshop or a deeper onboarding sequence.

Path A: CAE engineer

Goal: use CaeReflex to inspect local artefacts and prepare evidence for review.

1. CLI-first Inspection
2. OpenFOAM Case Review
3. VTK Result Context
4. CrossRef Literature Context
5. REST/OpenAPI Agent Workflow, optional

Path B: Python or platform developer

Goal: understand the software surfaces and how workflows move through CLI, services, adapters, exporters, and REST.

1. CLI-first Inspection
2. REST/OpenAPI Agent Workflow
3. Adapter Extension Design
4. Assessment Rubric, for review standards

Path C: AI-agent engineer

Goal: expose engineering evidence to an agent safely and avoid unsafe tool claims.

1. CLI-first Inspection
2. REST/OpenAPI Agent Workflow
3. CrossRef Literature Context
4. Glossary, especially agent context, provenance, extracted fact, and inferred fact

Path D: Instructor or technical lead

Goal: run the curriculum for a team or class.

1. Instructor Guide
2. Environment Setup
3. CLI-first Inspection
4. Pick two domain projects: Gmsh, OpenFOAM, VTK, or CrossRef
5. Finish with Assessment Rubric

Path E: Advanced contributor

Goal: extend CaeReflex without breaking its architecture or safety boundary.

1. Adapter Extension Design
2. Architecture: Adapters
3. Architecture: Services Layer
4. Developer Guide: Adding Adapters
5. Developer Guide: Testing