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repowiseamithathreya/inference_layer

Repowise · Codebase intelligence

amithathreya / inference_layer

pythongithub.com/amithathreya/inference_layer
Indexed at8c88c66·14d ago·Up to date
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Files indexed
12
Symbols
51
Languages
2
Structure
Single

Languages

  • python91.7%
  • markdown8.3%

Explore amithathreya/inference_layer

Overview

Files, symbols, languages, packages, git intelligence

Code health

Full report
85/100
Healthy1 hotspot
  • Code health90
  • Dead code92
  • Hotspot density83
  • Bus factor0

How amithathreya/inference_layer works

This page is an auto-generated, always-fresh map of the amithathreya/inference_layer 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 12 source files, 51 symbols, and 2 languages. Git churn analysis flags 1 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 4 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.

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