repowisertk-ai/rtk

Repowise · Codebase intelligence

rtk-ai / rtk

markdowngithub.com/rtk-ai/rtk
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Files indexed
313
Symbols
3.5k
Languages
9
Structure
Single

Languages

  • markdown33.9%
  • rust33.2%
  • toml19.5%
  • shell6.1%
  • yaml2.6%
  • typescript2.6%
  • json1.6%
  • ruby0.3%

Explore rtk-ai/rtk

Overview

Files, symbols, languages, packages, git intelligence

Dependency graph

Interactive view of how files import each other

Hotspots

Files with the most churn and co-change risk

Ownership

Bus-factor and per-file maintainer maps

Decisions

Architectural decisions extracted from commits and PRs

Dead code

Unreachable symbols and unused exports

AI docsPro

Module-by-module documentation generated from source

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Ask grounded questions over the indexed code

Key modules1

  • openclaw

    openclaw

    typescript

Entry points4

  • docs/guide/index.md
  • openclaw/index.ts
  • scripts/benchmark/run.ts
  • src/main.rs

How rtk-ai/rtk works

This page is an auto-generated, always-fresh map of the rtk-ai/rtk repository, written primarily in markdown. Repowise indexes the source, parses every symbol, computes a dependency graph, 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 313 source files, 3,486 symbols, and 9 languages. Git churn analysis flags 33 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 218 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.