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Repowise · Codebase intelligence

Hiden500 / GEOPOLIS

typescriptgithub.com/Hiden500/GEOPOLIS
Indexed atb3f97b8·6d ago·Behind upstream
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Files indexed
248
Symbols
786
Languages
6
Packages
2

Does the health score find the bugs?

Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 4 (20%) actually needed a bug fix in the last 6 months — 2.5× better than picking files at random.

Precision
20%
Lift
2.5×
Flagged
20

Languages

  • typescript68.1%
  • json9.7%
  • javascript9.3%
  • python7.3%
  • markdown5.2%
  • yaml0.4%

Explore Hiden500/GEOPOLIS

Key modules2

  • client

    client

    typescript
  • server

    server

    typescript

Code health

Full report
84/100
Healthy7 hotspots

How Hiden500/GEOPOLIS works

This page is an auto-generated, always-fresh map of the Hiden500/GEOPOLIS repository, written primarily in typescript. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 248 source files, 786 symbols, and 6 languages, structured as a monorepo with 2 packages. Git churn analysis flags 7 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 77 tightly-coupled module communities.

Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.

Overview

Files, symbols, languages, packages, git intelligence

Architecture

Dependency graph, layered architecture, symbol index, and third-party dependencies

Code health

Per-file health scores, hotspots, test coverage, dead code, and refactoring targets

AI docsPro

Module-by-module documentation generated from source

Commits

Change-risk ranked history with AI-agent provenance and hotspots

Contributors

Bus-factor, per-file maintainer maps, and human/agent collaboration

Decisions

Architectural decisions extracted from commits and PRs

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Ask grounded questions over the indexed code

  • Code health94
  • Dead code77
  • Hotspot density94
  • Bus factor0