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repowiserabbitmq/rabbitmq-amqp-java-client

Repowise · Codebase intelligence

rabbitmq / rabbitmq-amqp-java-client

Java RabbitMQ client for AMQP 1.0

Java20github.com/rabbitmq/rabbitmq-amqp-java-client
Indexed atef426c1·1d ago·Up to date
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Files indexed
740
Symbols
11k
Languages
4
Structure
Single

Does the health score find the bugs?

Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 6 (30%) actually needed a bug fix in the last 6 months — 20.2× better than picking files at random.

Precision
30%
Lift
20.2×
Flagged
20

Languages

  • java97.4%
  • yaml1.4%
  • shell0.7%
  • asciidoc0.5%

Explore rabbitmq/rabbitmq-amqp-java-client

Overview

Files, symbols, languages, packages, git intelligence

Code health

Full report
83/100
Healthy17 hotspots
  • Code health75
  • Dead code99
  • Hotspot density95
  • Bus factor0

How rabbitmq/rabbitmq-amqp-java-client works

Java RabbitMQ client for AMQP 1.0 This page is an auto-generated, always-fresh map of the rabbitmq/rabbitmq-amqp-java-client repository, written primarily in Java. 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 740 source files, 10,754 symbols, and 4 languages. Git churn analysis flags 17 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 152 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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