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repowiseibuilder/massing

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ibuilder / massing

Open, self-hosted, IFC-native AEC platform: web BIM viewer + modeling, a ~100-module GC portal (RFIs, pay apps, CPM, construction accounting — double-entry GL/WIP → QuickBooks, e-sign), AI assist, IDS authoring, estimating + embodied carbon, a development proforma, and operate/dispose (CMMS, facility condition, rent roll, waterfall).

Python112github.com/ibuilder/massing
Indexed atf3b171f·6h ago·Up to date
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Files indexed
881
Symbols
6.6k
Languages
10
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, 15 (75%) actually needed a bug fix in the last 6 months — 6.2× better than picking files at random.

Precision
75%
Lift
6.2×
Flagged
20

Languages

  • python66.1%
  • json15.0%
  • typescript10.9%
  • markdown4.7%
  • yaml1.2%
  • javascript0.9%
  • dockerfile

Key modules2

  • web

    apps/web

    typescript
  • converter

    services/converter

    javascript

Code health

Full report
76/100
Some risk118 hotspots

How ibuilder/massing works

Open, self-hosted, IFC-native AEC platform: web BIM viewer + modeling, a ~100-module GC portal (RFIs, pay apps, CPM, construction accounting — double-entry GL/WIP → QuickBooks, e-sign), AI assist, IDS authoring, estimating + embodied carbon, a development proforma, and operate/dispose (CMMS, facility condition, rent roll, waterfall). This page is an auto-generated, always-fresh map of the ibuilder/massing repository, written primarily in Python. 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 881 source files, 6,587 symbols, and 10 languages, structured as a monorepo with 2 packages. Git churn analysis flags 118 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 236 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.

0.3%
  • rust0.3%
  • Explore ibuilder/massing

    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

    Chat with this repoSign inPro

    Ask grounded questions over the indexed code

  • Code health70
  • Dead code96
  • Hotspot density73
  • Bus factor6