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schluegge / waypie

rustmaina8e8f6011.3K linessynced 1d ago

Code health

2.7out of 10Critical

This codebase scores 2.7 out of 10 on defect risk, which we rate critical. It also scores maintainability 4.7 and static performance risk 9.4 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 3 of 21 files are git hotspots, and they average 1.4.

Full health report →
Documentation65pages0 with model-written prose, 65 built from the index
Lines of code
11.3K
Files
21
Symbols
1,010
Modules
3
Languages
6

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

No decisions extracted yet.

Needs attention

13 open
  • medium severity. Ungovernedsrc/visual.rsHigh-churn file with no governing decision
  • medium severity. Ungovernedwaypie_common.pyHigh-churn file with no governing decision
  • medium severity. Ungovernedwaypie_config.pyHigh-churn file with no governing decision
  • medium severity. Knowledge silosrc/animation.rs100% single-owner concentration
  • medium severity. Knowledge silosrc/app.rs100% single-owner concentration

Where the risk concentrates

All 3 hotspots →

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

FileChurnPrior fixesMaintainersCommits 90d
waypie_config.py93.3th31bus factor 136
visual.rssrc86.7th31bus factor 114
waypie_common.py80.0th31bus factor 130

Composition

Open the graph →
rust 57%python 14%markdown 10%toml 10%makefile 5%Other 5%

Explore this codebase

  • Docs65 pages across 3 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files21 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 4 entry points→
  • Code healthPer-file scores, 260 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→