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Hiden500 / PaxBot

typescriptmain8faf3f74.2K linessynced 1mo ago

Code health

8.7out of 10Excellent

This codebase scores 8.7 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.1 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number.

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Lines of code
4.2K
Files
42
Symbols
113
Modules
18
Languages
4

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Implement event consolidation to prevent context overflowproposed
  • Use AES-256 encryption for stored BYOK keysproposed
  • Migrate AI model calls to Infron AI unified infrastructureproposed
  • Planned evolution to multi-agent architectureproposed
  • LLM provider is tightly coupled to Gemini (planned abstraction)proposed
  • Single-agent Brain loop (no Planner/Critic split)proposed

Needs attention

27 open
  • medium severity. ProposedImplement event consolidation to prevent context overflowAuto-proposed decision awaiting review
  • medium severity. ProposedUse AES-256 encryption for stored BYOK keysAuto-proposed decision awaiting review
  • medium severity. ProposedMigrate AI model calls to Infron AI unified infrastructureAuto-proposed decision awaiting review
  • medium severity. ProposedPlanned evolution to multi-agent architectureAuto-proposed decision awaiting review
  • medium severity. ProposedLLM provider is tightly coupled to Gemini (planned abstraction)Auto-proposed decision awaiting review

Composition

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typescript 67%markdown 17%json 12%shell 5%

Explore this codebase

  • Docs0 pages across 18 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files42 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 27 entry points→
  • Code healthPer-file scores, 63 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→