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fidelity-ai-workspace/ai/context/workstreams/consumer-integration.md

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# Consumer Integration And Release
## Goal
Capture the durable release and validation path between XFlow changes and real consumer behavior.
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## Stable Patterns
- End-to-end validation often requires more than an SDK change.
- Historical Slack evidence shows repeated coupling across:
- XFlowSDK
- XFlowViewMaker
- FTFrameworks modules
- Fid4 / flagship
- Version pins, publishing delays, and consumer build issues can block validation even when the original code change is ready.
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## Investigation Rules
- Before concluding a fix is absent in Fid4, check whether the right version actually propagated downstream.
- Separate these failure modes:
- SDK bug
- adapter/version propagation issue
- FT module publish/test issue
- consumer app setup or pipeline issue
- Consumer validation constraints should shape story scope and estimates because they can dominate the real effort.
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## Historical Signals From Slack
- Version bump work repeatedly involved XFlowViewMaker, FTAccountOpen, and FTTransfer.
- Some rollout problems involved Jenkins, Apex/ApexKit, preview macro compatibility, or secret/token access rather than the product behavior under investigation.