repowiserepowise
Sign in
genieincodebottle/aiml-companion
OverviewDocsArchitectureKnowledge GraphFilesCode HealthRefactoring

People & History

CommitsContributorsDecisions
ChatPro
Stats
repowiserepowise
ExplorePricingDocs
Sign inIndex repoIndex your repo free
repowisegenieincodebottle/aiml-companion
AI
AI

genieincodebottle / aiml-companion

pythonmain937327e86.3K linessynced 1d ago

Code health

8.9out of 10Excellent

This codebase scores 8.9 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.7 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: 1 of 525 files are git hotspots, and they average 5.7.

Full health report →
Documentation860pages0 with model-written prose, 860 built from the indexScore validation3/205.25× baselineOf the 20 lowest-health files, 3 were bug-fixed in the last 6 months — 5.25× the 3% baselineDead code68exportsUnused exports that nothing in the graph reaches
Lines of code
86.3K
Files
525
Symbols
5,718
Modules
6
Languages
11

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Swap OpenAI to Google Gemini in RAG Expert Assistantproposed · 1d ago
  • Explicit eight-stage pipeline with fixed span/log/UI labelsproposed · 1d ago
  • Force replay mode in tests to prevent live API callsproposed · 1d ago
  • Separate vector-similarity decisions from deterministic research cachingproposed · 1d ago
  • Deterministic SQLite cache for research resultsproposed · 1d ago

Needs attention

26 open
  • medium severity. ProposedSwap OpenAI to Google Gemini in RAG Expert AssistantAuto-proposed decision awaiting review
  • medium severity. ProposedExplicit eight-stage pipeline with fixed span/log/UI labelsAuto-proposed decision awaiting review
  • medium severity. ProposedForce replay mode in tests to prevent live API callsAuto-proposed decision awaiting review
  • medium severity. ProposedSeparate vector-similarity decisions from deterministic research cachingAuto-proposed decision awaiting review
  • medium severity. ProposedDeterministic SQLite cache for research resultsAuto-proposed decision awaiting review

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
app.pyprojects/ai-agents-project88.3th01bus factor 13

Composition

Open the graph →
python 63%javascript 11%markdown 11%json 6%shell 3%Other 6%

Explore this codebase

  • Docs860 pages across 6 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files525 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 26 entry points→
  • Code healthPer-file scores, 1,015 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→