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fidelity-ai-workspace/ai/context/workstreams/xflow-debugging.md

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# XFlow Debugging
## Goal
Debug backend-driven flows without losing track of dynamic dependencies or misclassifying integration behavior.
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## Stable Patterns
- XFlow screens are backend-driven, so UI can change without local code changes.
- Reproduction depends on:
- entry point
- authentication state
- backend configuration
- consumer integration path
- Not all entry points are reachable from visible UI; some require exploratory validation.
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## Investigation Rules
- Confirm the entry point before comparing behavior.
- Separate service-driven behavior from client regressions.
- Confirm whether the issue reproduces in:
- sample app
- XFlow-only environment
- Fid4 / flagship
- authenticated vs non-authenticated state
- If a fix appears correct in the SDK but not in consumer validation, inspect the release chain before reopening root cause assumptions.
- When validating service/configuration changes, check the active flow-definition version in Cogstore before assuming a change is live in QA or Production.
- Do not assume a flow ID will exist in both Cogstore and Slate; verify which config system actually owns the flow you are inspecting.
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## Historical Signals From Slack
- Historical debugging covered Next-button visibility, markdown modal analytics, modal presentation, slot updates, and SwiftUI lifecycle behavior.
- Multiple pipeline or dependency problems looked like XFlow issues until the build chain or consumer integration path was inspected more carefully.