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repowiseschluegge/i-have-adhd
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schluegge / i-have-adhd

markdownmain2d19ad24.5K linessynced 1d ago

Code health

9.2out of 10Excellent

This codebase scores 9.2 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.7 and static performance risk 9.8 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 41 files are git hotspots, and they average 2.4.

Full health report →
Documentation13pages0 with model-written prose, 13 built from the indexDead code1exportsUnused exports that nothing in the graph reaches
Lines of code
4.5K
Files
41
Symbols
70
Modules
11
Languages
8

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Run always-on SessionStart hook via Node for Windows portabilityproposed · 1d ago

Needs attention

7 open
  • medium severity. ProposedRun always-on SessionStart hook via Node for Windows portabilityAuto-proposed decision awaiting review
  • medium severity. Ungovernedscripts/run_evals.pyHigh-churn file with no governing decision
  • medium severity. Knowledge siloextensions/i-have-adhd.ts97% single-owner concentration
  • medium severity. Knowledge silohooks/always-on.mjs82% single-owner concentration
  • medium severity. Knowledge siloscripts/check_pi_extension.py95% 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
run_evals.pyscripts85.7th4bug magnet2bus factor 15

Composition

Open the graph →
markdown 41%json 27%yaml 12%python 10%typescript 2%Other 7%

Explore this codebase

  • Docs13 pages across 11 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files41 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 0 entry points→
  • Code healthPer-file scores, 33 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→