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Repowise

Codebase-intelligence platform for source-linked documentation, dependency graphs, health analysis, AI context, and change-risk review.

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Introduction

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Information

  • Publisher
    pushtimepushtime
  • Websitewww.repowise.dev
  • Published date2026/09/06

Categories

  • Developer Tools
  • Research & Analysis

Tags

  • AI Powered
  • Code Intelligence
  • Code Review
  • MCP
  • Open Source
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How to Use Repowise

Repowise's Core Features

Source-linked documentation

Generates repository documentation and wiki pages grounded in the indexed code.

MCP code context

Provides reusable repository context to Claude Code, Cursor, and compatible clients.

Code health scoring

Analyzes files using defect-related signals rather than relying only on generic style metrics.

Change-risk analysis

Evaluates commits and pull requests for contracts, coupling, and historical co-change risk.

Dependency and CVE analysis

Uses reachability information to help prioritize vulnerable dependencies.

Ownership and hotspots

Maps Git activity, bus factor, hidden coupling, and high-change areas.

Architecture mapping

Produces C4-oriented system, container, and component documentation.

Open-source self-hosting

Offers an AGPL-3.0 core that can run with a preferred or local model provider.

Repowise's Use Cases

1

AI coding agents

Reuse indexed repository context without repeatedly sending the full codebase.

2

Developer onboarding

Explore source-linked architecture, modules, ownership, and decisions.

3

Pull-request review

Identify changed contracts, missing co-changes, and repository-level merge risks.

4

Technical-debt planning

Find risky files, hotspots, hidden coupling, dead code, and missing tests.

5

Security triage

Determine whether vulnerable dependency paths are reachable by the application.

FAQ from Repowise

Repowise Support & Company Information

Support Email
hello@repowise.dev
Company
Repowise
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Social Links

  • GitHub
  • GitHub
  • Discord

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Repowise analyzes source code, dependencies, calls, Git history, ownership, tests, security signals, and architecture decisions to create a reusable model of a repository. Developers and AI coding agents can explore grounded answers, documentation, graphs, hotspots, health scores, and change risks. It supports hosted repositories, GitHub pull-request reviews, MCP clients, and self-hosting through an AGPL-3.0 core.

  1. Browse a supported public repository or connect a GitHub repository.
  2. Let Repowise index code, dependencies, history, ownership, tests, and architecture signals.
  3. Explore the generated wiki, dependency graphs, hotspots, and health scores.
  4. Ask grounded questions or search symbols and code relationships.
  5. Review change risk before modifying code or merging a pull request.
  6. Connect an MCP client or install the GitHub App for team workflows.
  7. Self-host the AGPL core when infrastructure control is required.
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