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Ship the lazy-tree capability with a complete Demo, cross-platform verification, documentation, and reproducible large-scale performance gates.
The final integration should let adopters compare eager and lazy models under the same behavior, observe loading/failure/retry/reveal flows, and reproduce evidence that undiscovered nodes no longer contribute model or renderer storage.
Acceptance criteria
The Demo can switch between eager and lazy data using equivalent content and controls.
Demo scenarios cover delayed roots, unloaded disclosure, expansion, concurrent interactions, collapse/reset, failure/retry, deep reveal, invalid data, and retained state.
AppKit and SwiftUI Demo surfaces exercise the same model; an iOS test host or Demo verifies UIKit behavior, focus, RTL, and accessibility.
Automated tests cover the complete lazy acceptance matrix on supported platforms, and CI builds/tests macOS plus type-checks or tests the iOS target with Swift 6 warnings treated as errors.
Reproducible performance runs compare eager and lazy modes at 2,500, 100,000, and at least 500,000 potential nodes.
Results report discovered and loaded node counts, provider calls, physical and peak footprint, main-thread time, and visible-content update latency.
The suite has documented regression thresholds or comparison rules that account for platform and run-to-run variance.
README and DocC document eager versus lazy setup, loading/retry/reveal behavior, cache lifetime, cancellation, validation, and migration without breaking eager call sites.
Parent
#16
What to build
Ship the lazy-tree capability with a complete Demo, cross-platform verification, documentation, and reproducible large-scale performance gates.
The final integration should let adopters compare eager and lazy models under the same behavior, observe loading/failure/retry/reveal flows, and reproduce evidence that undiscovered nodes no longer contribute model or renderer storage.
Acceptance criteria
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