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scarnyc / product-research-agent

pythonmain85f3fc37.2K linessynced 1mo ago

Code health

8.8out of 10Excellent

This codebase scores 8.8 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.6 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

Full health report →
Lines of code
7.2K
Files
31
Symbols
409
Modules
11
Languages
3

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Should fall back to basic summaryproposed
  • Should fall back to basic analysisproposed
  • Primary search works as fallbackproposed
  • Return only reasonable prices (avoid extraction errors)proposed
  • Fallback scoring based on response keywordsproposed
  • Fallback: parse key-value pairs from textproposed

Needs attention

36 open
  • medium severity. ProposedShould fall back to basic summaryAuto-proposed decision awaiting review
  • medium severity. ProposedShould fall back to basic analysisAuto-proposed decision awaiting review
  • medium severity. ProposedPrimary search works as fallbackAuto-proposed decision awaiting review
  • medium severity. ProposedReturn only reasonable prices (avoid extraction errors)Auto-proposed decision awaiting review
  • medium severity. ProposedFallback scoring based on response keywordsAuto-proposed decision awaiting review

Composition

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python 77%markdown 19%json 3%

Explore this codebase

  • Docs0 pages across 11 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files31 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 1 entry points→
  • Code healthPer-file scores, 52 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→