Manage learner profiles and progress tracking. Use when: starting a session with a new or returning learner, detecting who the current learner is, tracking progress across sessions, adapting teaching style to individual preferences, coordinating multi-learner projects. Handles profile creation via interview, automatic validation via PowerShell scripts, progress persistence to Git, and teaching style adaptation.
Run a ride-along session with an MSSA learner. Use when: starting a coding lesson, mentoring on a new concept, walking a veteran through their first project, learner asks 'help me build X and explain it', any non-trivial build that should also be a learning moment. Provides the full session shape: goal-setting, move-by-move build, naming concepts, after-action reviews.
Interactive knowledge graph health monitoring and maintenance workflow. Runs health check, displays results, and offers actionable next steps. Also handles natural language queries about the codebase by querying the knowledge graph (e.g., 'show me the call flow', 'what uses X', 'trace dependencies').
Sketch the design on a whiteboard before writing any code. Mermaid first, code second.
Build progression that adds Azure Blob Storage attachment uploads to the TODO API from cad-todo-api-auth. Use when the learner wants to learn cloud storage SDKs, async I/O against a network service, multipart file uploads, content types, SAS tokens, and configuration secrets hands-on. Pairs with the ride-along method.
CAD track project #9. Build a GitHub Actions CI/CD pipeline that builds, tests, and deploys both the TodoApi (App Service) from project #7 and the TodoApi.Worker (Function App) from project #8. Use OIDC federated credentials (no long-lived secrets), split build/test/deploy into separate jobs, gate production deploys behind a GitHub Environment with reviewers, and wire a smoke test that fails the pipeline if the deployed system is broken. Auto-load when the learner is in `cloud-app-dev/cad-cicd-pipeline` or asks about GitHub Actions, OIDC, workflow YAML, federated credentials, deployment environments, or CI/CD for Azure.
Build progression that deploys the secured TODO API (with blob attachments) from cad-blob-uploader to Azure App Service. Use when the learner wants to learn Azure App Service, deployment slots, app settings, Key Vault references, managed identity, and configuration-as-code hands-on. Pairs with the ride-along method.
Build progression that adds an Azure Function with a Storage Queue trigger to the TODO API ecosystem. When the API records a new attachment, it drops a message on a queue; the Function picks it up, reads the blob, computes a hash + size, and writes a metadata record back. Teaches serverless triggers, bindings, isolated worker model, idempotency, and poison queues. Use when the learner wants to learn Azure Functions, event-driven processing, queue triggers, blob input bindings, scale-to-zero, or serverless cost models. Pairs with the ride-along method.