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FE-225: Update Petrinaut UI#8472

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FE-225: Update Petrinaut UI#8472
kube wants to merge 78 commits intomainfrom
cf/fe-225-migrate-petrinaut-to-figma-designs

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@kube kube commented Feb 23, 2026

🌟 What is the purpose of this PR?

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🔍 What does this change?

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🚢 Has this modified a publishable library?

This PR:

  • does not modify any publishable blocks or libraries, or modifications do not need publishing
  • modifies an npm-publishable library and I have added a changeset file(s)
  • modifies a Cargo-publishable library and I have amended the version
  • modifies a Cargo-publishable library, but it is not yet ready to publish
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  • I am unsure / need advice

📜 Does this require a change to the docs?

The changes in this PR:

  • are internal and do not require a docs change
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🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

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kube commented Feb 23, 2026

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overlay.style.inset = "0";
overlay.style.zIndex = "99999";
overlay.style.cursor = getCursor(direction);
overlay.style.userSelect = "none";

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kube and others added 15 commits February 27, 2026 00:41
- Add ScrollableContent wrapper with gradient shadows that fade in
  when content overflows top or bottom
- Use cva for shadow styles with position/visible variants
- Move separator border from bottom to top so it visually sits on the
  previous section
- Use neutral.a30 (alpha) instead of neutral.s30 for transparency

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ics to playback

- Combine Select and Pan mode buttons into a single dropdown button
  with a chevron indicator, using Ark UI Menu
- Move toggle panel and diagnostics indicator from the edition segment
  to the playback segment
- Place cursor mode dropdown first with a divider before add buttons

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…odes

- Extract all visualizer logic from PlaceMainContent into a dedicated
  place-visualizer SubView with toggle, code editor, and preview
- Add OutlinedSegmentGroup for Code | Preview | Split view modes
- Auto-switch to Preview and hide SegmentGroup during simulation
- Show explanatory message when visualizer is disabled
- Always include the visualizer SubView in the panel layout

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds a vertical button stack at the bottom-right of the canvas with zoom
in/out, fullscreen (collapses all panels), lock view (placeholder), and
a settings dropdown. The controls offset dynamically based on the
properties panel and bottom panel visibility. Also adds a placement prop
to the Tooltip and Menu components.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… and size variants

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@kube kube force-pushed the cf/fe-225-migrate-petrinaut-to-figma-designs branch from 4049210 to dcf28a8 Compare February 27, 2026 00:03
@kube kube force-pushed the graphite-base/8472 branch from 07681b9 to d86a788 Compare February 27, 2026 00:03
@kube kube changed the base branch from graphite-base/8472 to cf/h-5839-create-an-lsp-and-re-use-in-monaco-editor February 27, 2026 00:03
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Merging this PR will not alter performance

✅ 68 untouched benchmarks
🗄️ 12 archived benchmarks run1


Comparing cf/fe-225-migrate-petrinaut-to-figma-designs (dcf28a8) with main (e957752)2

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Footnotes

  1. 12 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them.

  2. No successful run was found on cf/h-5839-create-an-lsp-and-re-use-in-monaco-editor (d86a788) during the generation of this report, so main (e957752) was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.

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Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2002 $$28.0 \mathrm{ms} \pm 195 \mathrm{μs}\left({\color{gray}0.022 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.72 \mathrm{ms} \pm 26.7 \mathrm{μs}\left({\color{gray}3.34 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1001 $$13.5 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}0.762 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 3314 $$45.3 \mathrm{ms} \pm 332 \mathrm{μs}\left({\color{gray}-0.206 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$15.7 \mathrm{ms} \pm 110 \mathrm{μs}\left({\color{gray}-0.356 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 1526 $$25.8 \mathrm{ms} \pm 193 \mathrm{μs}\left({\color{gray}0.772 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 2078 $$29.4 \mathrm{ms} \pm 189 \mathrm{μs}\left({\color{gray}0.315 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$4.02 \mathrm{ms} \pm 26.1 \mathrm{μs}\left({\color{gray}2.54 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 1033 $$14.8 \mathrm{ms} \pm 123 \mathrm{μs}\left({\color{gray}0.890 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_medium

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 102 $$4.10 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{gray}1.27 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.23 \mathrm{ms} \pm 19.4 \mathrm{μs}\left({\color{gray}2.03 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 51 $$3.60 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}0.260 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 269 $$5.48 \mathrm{ms} \pm 39.2 \mathrm{μs}\left({\color{gray}0.003 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.82 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}0.603 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 107 $$4.36 \mathrm{ms} \pm 27.7 \mathrm{μs}\left({\color{gray}-0.711 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 133 $$4.76 \mathrm{ms} \pm 29.2 \mathrm{μs}\left({\color{gray}-1.284 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.71 \mathrm{ms} \pm 24.0 \mathrm{μs}\left({\color{gray}-2.867 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 63 $$4.43 \mathrm{ms} \pm 27.7 \mathrm{μs}\left({\color{gray}0.529 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_none

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2 $$2.93 \mathrm{ms} \pm 15.1 \mathrm{μs}\left({\color{gray}0.382 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.89 \mathrm{ms} \pm 16.5 \mathrm{μs}\left({\color{gray}1.20 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1 $$3.00 \mathrm{ms} \pm 15.5 \mathrm{μs}\left({\color{gray}0.839 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 8 $$3.28 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{gray}-0.015 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.08 \mathrm{ms} \pm 19.8 \mathrm{μs}\left({\color{gray}-0.326 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 3 $$3.33 \mathrm{ms} \pm 16.6 \mathrm{μs}\left({\color{gray}-0.051 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_small

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 52 $$3.35 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}3.05 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.06 \mathrm{ms} \pm 19.7 \mathrm{μs}\left({\color{gray}3.56 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 25 $$3.22 \mathrm{ms} \pm 22.4 \mathrm{μs}\left({\color{gray}2.87 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 94 $$3.81 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}2.98 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.33 \mathrm{ms} \pm 23.1 \mathrm{μs}\left({\color{gray}3.58 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 26 $$3.64 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{gray}4.88 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 66 $$3.86 \mathrm{ms} \pm 28.0 \mathrm{μs}\left({\color{red}6.46 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.45 \mathrm{ms} \pm 25.5 \mathrm{μs}\left({\color{red}8.32 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 29 $$3.78 \mathrm{ms} \pm 28.4 \mathrm{μs}\left({\color{red}8.05 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_complete

Function Value Mean Flame graphs
entity_by_id;one_depth 1 entities $$43.0 \mathrm{ms} \pm 179 \mathrm{μs}\left({\color{gray}-0.289 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 10 entities $$80.6 \mathrm{ms} \pm 468 \mathrm{μs}\left({\color{gray}-1.968 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 25 entities $$47.0 \mathrm{ms} \pm 216 \mathrm{μs}\left({\color{gray}-1.919 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 5 entities $$49.4 \mathrm{ms} \pm 270 \mathrm{μs}\left({\color{gray}-1.086 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 50 entities $$57.6 \mathrm{ms} \pm 330 \mathrm{μs}\left({\color{lightgreen}-5.623 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 1 entities $$44.3 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{gray}-3.216 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 10 entities $$423 \mathrm{ms} \pm 854 \mathrm{μs}\left({\color{gray}0.366 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 25 entities $$99.7 \mathrm{ms} \pm 558 \mathrm{μs}\left({\color{gray}-3.222 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 5 entities $$89.0 \mathrm{ms} \pm 446 \mathrm{μs}\left({\color{gray}-1.269 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 50 entities $$332 \mathrm{ms} \pm 990 \mathrm{μs}\left({\color{gray}2.05 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 1 entities $$16.4 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}1.02 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 10 entities $$17.0 \mathrm{ms} \pm 113 \mathrm{μs}\left({\color{gray}4.25 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 25 entities $$17.3 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}3.01 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 5 entities $$16.8 \mathrm{ms} \pm 87.8 \mathrm{μs}\left({\color{gray}4.08 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 50 entities $$21.3 \mathrm{ms} \pm 101 \mathrm{μs}\left({\color{red}7.62 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_linkless

Function Value Mean Flame graphs
entity_by_id 1 entities $$17.4 \mathrm{ms} \pm 105 \mathrm{μs}\left({\color{red}5.07 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10 entities $$17.1 \mathrm{ms} \pm 137 \mathrm{μs}\left({\color{red}6.19 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 100 entities $$16.3 \mathrm{ms} \pm 113 \mathrm{μs}\left({\color{gray}-0.282 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 1000 entities $$17.1 \mathrm{ms} \pm 129 \mathrm{μs}\left({\color{gray}2.68 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10000 entities $$24.8 \mathrm{ms} \pm 176 \mathrm{μs}\left({\color{gray}1.26 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity

Function Value Mean Flame graphs
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1 $$31.4 \mathrm{ms} \pm 318 \mathrm{μs}\left({\color{gray}0.908 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1 $$31.3 \mathrm{ms} \pm 306 \mathrm{μs}\left({\color{gray}-2.207 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1 $$32.5 \mathrm{ms} \pm 283 \mathrm{μs}\left({\color{gray}2.83 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1 $$31.9 \mathrm{ms} \pm 317 \mathrm{μs}\left({\color{gray}2.29 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2 $$31.7 \mathrm{ms} \pm 333 \mathrm{μs}\left({\color{gray}0.259 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1 $$32.3 \mathrm{ms} \pm 296 \mathrm{μs}\left({\color{gray}-3.435 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1 $$32.4 \mathrm{ms} \pm 319 \mathrm{μs}\left({\color{gray}2.48 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1 $$30.8 \mathrm{ms} \pm 252 \mathrm{μs}\left({\color{lightgreen}-5.617 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1 $$32.3 \mathrm{ms} \pm 336 \mathrm{μs}\left({\color{gray}4.57 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity_type

Function Value Mean Flame graphs
get_entity_type_by_id Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba $$8.94 \mathrm{ms} \pm 43.6 \mathrm{μs}\left({\color{gray}-1.740 \mathrm{\%}}\right) $$ Flame Graph

representative_read_multiple_entities

Function Value Mean Flame graphs
entity_by_property traversal_paths=0 0 $$91.7 \mathrm{ms} \pm 469 \mathrm{μs}\left({\color{gray}-2.385 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$146 \mathrm{ms} \pm 550 \mathrm{μs}\left({\color{gray}-2.547 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$101 \mathrm{ms} \pm 505 \mathrm{μs}\left({\color{gray}-1.458 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$110 \mathrm{ms} \pm 541 \mathrm{μs}\left({\color{gray}0.742 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$120 \mathrm{ms} \pm 633 \mathrm{μs}\left({\color{gray}-2.417 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$125 \mathrm{ms} \pm 642 \mathrm{μs}\left({\color{lightgreen}-5.727 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=0 0 $$90.2 \mathrm{ms} \pm 390 \mathrm{μs}\left({\color{gray}-1.473 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$119 \mathrm{ms} \pm 441 \mathrm{μs}\left({\color{lightgreen}-5.241 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$96.7 \mathrm{ms} \pm 430 \mathrm{μs}\left({\color{gray}-1.450 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$107 \mathrm{ms} \pm 537 \mathrm{μs}\left({\color{gray}0.702 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$109 \mathrm{ms} \pm 524 \mathrm{μs}\left({\color{gray}0.175 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$109 \mathrm{ms} \pm 440 \mathrm{μs}\left({\color{gray}-3.517 \mathrm{\%}}\right) $$

scenarios

Function Value Mean Flame graphs
full_test query-limited $$141 \mathrm{ms} \pm 520 \mathrm{μs}\left({\color{red}7.94 \mathrm{\%}}\right) $$ Flame Graph
full_test query-unlimited $$142 \mathrm{ms} \pm 549 \mathrm{μs}\left({\color{red}9.23 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-limited $$107 \mathrm{ms} \pm 631 \mathrm{μs}\left({\color{gray}0.487 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-unlimited $$592 \mathrm{ms} \pm 2.73 \mathrm{ms}\left({\color{gray}-2.655 \mathrm{\%}}\right) $$ Flame Graph

Base automatically changed from cf/h-5839-create-an-lsp-and-re-use-in-monaco-editor to main February 28, 2026 16:31
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codecov bot commented Feb 28, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 63.72%. Comparing base (e7770d8) to head (dcf28a8).
⚠️ Report is 9 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #8472      +/-   ##
==========================================
+ Coverage   62.70%   63.72%   +1.02%     
==========================================
  Files        1302     1162     -140     
  Lines      131589   125195    -6394     
  Branches     5487     4954     -533     
==========================================
- Hits        82512    79786    -2726     
+ Misses      48169    44551    -3618     
+ Partials      908      858      -50     
Flag Coverage Δ
apps.hash-ai-worker-py ?
apps.hash-ai-worker-ts 1.40% <ø> (ø)
apps.hash-api 0.00% <ø> (ø)
backend-integration-tests ?
blockprotocol.type-system 40.84% <ø> (ø)
deer ?
error-stack ?
local.claude-hooks 0.00% <ø> (ø)
local.harpc-client 51.24% <ø> (ø)
local.hash-backend-utils ?
local.hash-graph-sdk 7.78% <ø> (ø)
local.hash-isomorphic-utils 0.00% <ø> (ø)
local.hash-subgraph ?
rust.antsi 0.00% <ø> (ø)
rust.deer ?
rust.error-stack 90.88% <ø> (ø)
rust.harpc-codec 84.70% <ø> (ø)
rust.harpc-net 96.14% <ø> (-0.02%) ⬇️
rust.harpc-tower 66.80% <ø> (ø)
rust.harpc-types 0.00% <ø> (ø)
rust.harpc-wire-protocol 92.23% <ø> (ø)
rust.hash-codec 72.76% <ø> (ø)
rust.hash-graph-api 2.86% <ø> (ø)
rust.hash-graph-authorization 62.34% <ø> (ø)
rust.hash-graph-postgres-store 27.53% <ø> (ø)
rust.hash-graph-store 37.86% <ø> (ø)
rust.hash-graph-temporal-versioning 47.95% <ø> (ø)
rust.hash-graph-types 0.00% <ø> (ø)
rust.hash-graph-validation 83.45% <ø> (ø)
rust.hashql-ast 87.25% <ø> (ø)
rust.hashql-compiletest 29.69% <ø> (ø)
rust.hashql-core 82.26% <ø> (-0.03%) ⬇️
rust.hashql-diagnostics 72.43% <ø> (ø)
rust.hashql-eval 69.13% <ø> (ø)
rust.hashql-hir 89.11% <ø> (ø)
rust.hashql-mir 92.29% <ø> (+0.24%) ⬆️
rust.hashql-syntax-jexpr 94.05% <ø> (ø)
rust.sarif ?
sarif ?
tests.hash-backend-integration ?
unit-tests ?

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area/apps > hash.design Affects the `hash.design` design site (app) area/apps > hash* Affects HASH (a `hash-*` app) area/apps area/deps Relates to third-party dependencies (area) area/infra Relates to version control, CI, CD or IaC (area) area/libs Relates to first-party libraries/crates/packages (area) type/eng > frontend Owned by the @frontend team

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