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How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

TL;DR AI

Key summary

2 min read
  1. The article shows how to configure Repowise on the itsdangerous Python repository and run its indexing pipeline.

  2. It then inspects the generated artifacts to analyze repository graphs, Git history, dead code, and key architectural decisions.

  3. The workflow also creates a CLAUDE.md context file, uses CLI-based MCP-style tools, and visualizes important nodes in the code graph.

  4. Overall, it presents a reproducible way to turn a codebase into actionable maintenance and architecture insights.

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