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repowisezuber-surya/ai-property
AI
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zuber-surya / ai-property

markdownmaind7af2b224.9K linessynced 3h ago

Code health

9.9out of 10Excellent

This codebase scores 9.9 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.9 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 1 of 166 files are git hotspots, and they average 3.9.

Full health report →
Documentation52pages0 with model-written prose, 52 built from the indexDead code3exportsUnused exports that nothing in the graph reaches
Lines of code
24.9K
Files
166
Symbols
156
Modules
5
Languages
10

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Centralize reusable RLS macro and enforce FORCEproposed · 3h ago
  • Enforce tenant isolation via Postgres RLS (DB layer)proposed · 3h ago

Needs attention

16 open
  • medium severity. ProposedCentralize reusable RLS macro and enforce FORCEAuto-proposed decision awaiting review
  • medium severity. ProposedEnforce tenant isolation via Postgres RLS (DB layer)Auto-proposed decision awaiting review
  • medium severity. Ungovernedscripts/check_drift.pyHigh-churn file with no governing decision
  • medium severity. Knowledge silobackend/alembic/env.py100% single-owner concentration
  • medium severity. Knowledge silobackend/alembic/versions/c1dbb5122e7d_properties_property_media_rls_via_macro.py100% single-owner concentration

Where the risk concentrates

All 1 hotspots →

Ranked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
check_drift.pyscripts98.1th11bus factor 14

Composition

Open the graph →
markdown 55%python 22%html 11%typescript 6%json 2%Other 4%

Explore this codebase

  • Docs52 pages across 5 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files166 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 4 entry points→
  • Code healthPer-file scores, 25 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→