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scythe504 / kronos

gomain4b6464e6.6K linessynced 2d ago

Code health

7.3out of 10Good

This codebase scores 7.3 out of 10 on defect risk, which we rate good. It also scores maintainability 8.6 and static performance risk 9.7 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 9 of 64 files are git hotspots, and they average 5.5.

Full health report →
Documentation91pages0 with model-written prose, 91 built from the indexScore validation9/202.4× baselineOf the 20 lowest-health files, 9 were bug-fixed in the last 6 months — 2.4× the 19% baselineDead code1exportsUnused exports that nothing in the graph reaches
Lines of code
6.6K
Files
64
Symbols
351
Modules
14
Languages
7

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Refactor pipeline to remove hardcoded switches; add worker caching and precachingproposed · 2d ago
  • Reorder migrations; add workflow/task chaining support and jitter durationproposed · 2d ago
  • Filter physical LAN adapters in ipconfig output to find Windows host IPproposed · 2d ago
  • Detect WSL environment to trigger WSL-specific logicproposed · 2d ago
  • In WSL, resolve Windows host LAN IP via ipconfig filteringproposed · 2d ago
  • Fallback to interface scanning if UDP dial failsproposed · 2d ago

Needs attention

28 open
  • medium severity. ProposedRefactor pipeline to remove hardcoded switches; add worker caching and precachingAuto-proposed decision awaiting review
  • medium severity. ProposedReorder migrations; add workflow/task chaining support and jitter durationAuto-proposed decision awaiting review
  • medium severity. ProposedFilter physical LAN adapters in ipconfig output to find Windows host IPAuto-proposed decision awaiting review
  • medium severity. ProposedDetect WSL environment to trigger WSL-specific logicAuto-proposed decision awaiting review
  • medium severity. ProposedIn WSL, resolve Windows host LAN IP via ipconfig filteringAuto-proposed decision awaiting review

Where the risk concentrates

All 9 hotspots →

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

FileChurnPrior fixesMaintainersCommits 90d
tasks.gointernal/database98.2th11bus factor 114
pipeline.gointernal/pipeline96.4th11bus factor 19
workflows.gointernal/database94.6th01bus factor 13
tasks_test.gointernal/database91.1th01bus factor 14
nodes.gointernal/database89.3th01bus factor 17

Composition

Open the graph →
go 86%sql 6%toml 2%makefile 2%markdown 2%Other 3%

Explore this codebase

  • Docs91 pages across 14 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files64 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 6 entry points→
  • Code healthPer-file scores, 215 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→