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Extends windowing to the remaining O(n)-DOM surfaces: the card-grid view of ResourceList (recent / favorites / shared / shared-with-me / trash / search) and the main file browser (`files/[...path]`), in both list and grid layouts. - VirtualList gains a real grid mode: its inner window carries the caller's grid class (`files-grid-view`) and lays out `columns` cards per windowed row. The row pitch is auto-measured (grid card height tracks column width via the 4/3 aspect-ratio thumbnail) and re-measured on resize. - `useVirtualWindow` now distinguishes scroll from resize and exposes a `resizeTick`, so size-dependent layout (the grid pitch) is recomputed only when it can actually change. - `gridColumns(width)` (new util) mirrors the CSS `auto-fill` / `--grid-card-min` / gap so the windowed row count matches the browser's real wrapping exactly; shared by both grid callers. - The files browser flattens folders-then-files into one discriminated `entries` list rendered through VirtualList (list: columns=1; grid: columns from width). Grouped (swimlane) views stay fully rendered, as before — they're bounded. ResourceList GRID, headless Chromium (1280x900), synthetic rows, before/after: rows | mount→paint | DOM nodes | JS heap | scroll frame | jank frames ------+-------------+-----------+---------+--------------+------------ 1000 | 979→75 ms | 19k→879 | 16→3 MB | 16→17 ms | 0→0 5000 | 4005→67 ms | 95k→879 | 72→3 MB | 37→17 ms | 26→0 20000 |12015→65 ms | 380k→879 |281→7 MB |197→17 ms |1249→19 Rendered DOM and heap are flat (O(visible)) regardless of dataset size; mount is ~185x faster and scroll holds ~60fps. Verified visually mid-scroll (5 columns, 4/3 thumbnail tiles, cards land at the expected indices). The files browser shares the same VirtualList path (it can't be mounted headless — it depends on $app routing/session — so it's validated via svelte-check + the production build + the shared, separately-benchmarked component). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01M8Vb9QHmLZnEMzHz7MrFy6