Summary
Leverage AI to generate comprehensive test reports and user scenario coverage for the alpha feature error handling workflow. Review and fix gaps identified by AI analysis to prepare for a second round of internal feedback.
Goals
- AI-generated test reports — Use AI to analyze the current error handling workflow and produce detailed test coverage reports, identifying untested paths and edge cases.
- User scenario generation — Use AI to generate realistic user scenarios that exercise the error handling pipeline end-to-end, covering all three error categories (
AzureContextAndOtherError, MachineContextError, UserContextError).
- Gap analysis and fixes — Review AI-suggested gaps in the current test suite and error handling logic, then implement fixes to close those gaps.
- Prepare for second round of internal feedback — Ensure the error handling workflow is robust and well-tested before soliciting another round of internal feedback.
Scope
Test Report Generation
User Scenario Testing
Gap Fixes
Internal Feedback Prep
Context
- Error handling middleware:
cli/azd/cmd/middleware/error.go
- Error handling tests:
cli/azd/cmd/middleware/error_test.go
- Alpha feature management:
cli/azd/pkg/alpha/
- Agent integration:
cli/azd/internal/agent/
Summary
Leverage AI to generate comprehensive test reports and user scenario coverage for the alpha feature error handling workflow. Review and fix gaps identified by AI analysis to prepare for a second round of internal feedback.
Goals
AzureContextAndOtherError,MachineContextError,UserContextError).Scope
Test Report Generation
cli/azd/cmd/middleware/error_test.goand identify coverage gapsclassifyError())ErrorMiddleware)User Scenario Testing
AzureContextAndOtherError)shouldSkipErrorAnalysis)Gap Fixes
Internal Feedback Prep
Context
cli/azd/cmd/middleware/error.gocli/azd/cmd/middleware/error_test.gocli/azd/pkg/alpha/cli/azd/internal/agent/