repowiserepowise
Sign in
TuncG/portfolio-bot
OverviewDocsArchitectureKnowledge GraphFilesCode HealthRefactoring

People & History

CommitsContributorsDecisions
ChatPro
Stats
repowiserepowise
ExplorePricingDocs
Sign inIndex repoIndex your repo free
repowiseTuncG/portfolio-bot
PO
PO

TuncG / portfolio-bot

pythonmain50424b2840 linessynced 1d ago

Code health

8.4out of 10Excellent

This codebase scores 8.4 out of 10 on defect risk, which we rate excellent. It also scores maintainability 7.8 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation22pages0 with model-written prose, 22 built from the indexDead code3exportsUnused exports that nothing in the graph reaches
Lines of code
840
Files
11
Symbols
55
Modules
5
Languages
3

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

No decisions extracted yet.

Needs attention

11 open
  • medium severity. Knowledge siloagents/pandas_agent.py100% single-owner concentration
  • medium severity. Knowledge siloagents/sql_agent.py100% single-owner concentration
  • medium severity. Knowledge siloagents/stock_data_agent.py100% single-owner concentration
  • medium severity. Knowledge siloagents/supervisor_agent.py100% single-owner concentration
  • medium severity. Knowledge silohelpers/db.py100% single-owner concentration

Composition

Open the graph →
python 82%markdown 9%json 9%

Explore this codebase

  • Docs22 pages across 5 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files11 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 2 entry points→
  • Code healthPer-file scores, 19 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→