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V3
V3

aljamrii-wq / V3SP3R

swiftmainf4b2aa74.9K linessynced 1w ago

Code health

8.5out of 10Excellent

This codebase scores 8.5 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.0 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation43pages0 with model-written prose, 43 built from the index
Lines of code
4.9K
Files
50
Symbols
570
Modules
4
Languages
5

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Pivot to native iOS (SwiftUI) app; retire Androidproposed · 1w ago
  • Fallback to in-memory storage if the on-disk store cannot be openedproposed · 1w ago
  • Keep SwiftData schema intentionally simple and additive to ease future migrationsproposed · 1w ago

Needs attention

13 open
  • medium severity. ProposedPivot to native iOS (SwiftUI) app; retire AndroidAuto-proposed decision awaiting review
  • medium severity. ProposedFallback to in-memory storage if the on-disk store cannot be openedAuto-proposed decision awaiting review
  • medium severity. ProposedKeep SwiftData schema intentionally simple and additive to ease future migrationsAuto-proposed decision awaiting review
  • medium severity. Knowledge siloios/Vesper/App/AppContainer.swift100% single-owner concentration
  • medium severity. Knowledge siloios/Vesper/App/VesperApp.swift100% single-owner concentration

Composition

Open the graph →
swift 66%markdown 14%json 12%yaml 4%typescript 4%

Explore this codebase

  • Docs43 pages across 4 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files50 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 2 entry points→
  • Code healthPer-file scores, 38 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→