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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.


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.

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.

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.