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Hankanman / bee-workflow

typescriptmain3148c23262 linessynced 1d ago

Code health

10.0out of 10Excellent

This codebase scores 10.0 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.9 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation11pages0 with model-written prose, 11 built from the index
Lines of code
262
Files
5
Symbols
5
Modules
5
Languages
3

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Strict TypeScript configurationproposed · 1d ago
  • Use UnconstrainedMemory for conversation contextproposed · 1d ago
  • Critique-driven routing between agentsproposed · 1d ago
  • Model selection via environment variable with defaultproposed · 1d ago
  • Tool integration for complex tasksproposed · 1d ago
  • Two-tier agent architectureproposed · 1d ago

Needs attention

8 open
  • medium severity. ProposedStrict TypeScript configurationAuto-proposed decision awaiting review
  • medium severity. ProposedUse UnconstrainedMemory for conversation contextAuto-proposed decision awaiting review
  • medium severity. ProposedCritique-driven routing between agentsAuto-proposed decision awaiting review
  • medium severity. ProposedModel selection via environment variable with defaultAuto-proposed decision awaiting review
  • medium severity. ProposedTool integration for complex tasksAuto-proposed decision awaiting review

Composition

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typescript 40%json 40%markdown 20%

Explore this codebase

  • Docs11 pages across 5 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files5 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 1 entry points→
  • Code healthPer-file scores, 1 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→