zfedoran

zfedoran / rsmap

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Generate multi-layered, LLM-friendly index files for Rust codebases

14
1
100% credibility
Found Feb 04, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

rsmap is a tool that scans Rust projects to produce human-readable and AI-optimized summaries including module trees, API listings, relationships, and lookup indexes.

How It Works

1
🔍 Discover rsmap

You hear about a helpful tool that makes big Rust projects easy to understand by creating simple maps and lists.

2
📥 Get the tool

You grab the tool with a quick and easy install so it's ready to use right away.

3
📁 Pick your project

You choose the folder holding your Rust code, and the tool starts looking inside.

4
✨ Build your maps

The tool creates friendly guides: an overview tree, a list of all parts, connection diagrams, and a quick finder.

5
🤖 Add descriptions

You copy parts needing explanations to an AI helper, get back notes, and blend them into your maps.

🎉 Navigate like a pro

Now you and smart assistants zoom through your project effortlessly with clear overviews and smart notes.

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Star Growth

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AI-Generated Review

What is rsmap?

rsmap is a Rust CLI tool that scans Rust codebases and generates multi-layered, LLM-friendly index files like overview maps, API signatures, relationship graphs, and JSON lookups. Run `rsmap generate` on your project to get outputs in `.codebase-index/` that let LLMs grok structure without full-file scans, plus `rsmap annotate export/import` for adding AI descriptions to items. It tackles bloated context windows in AI code analysis by focusing on essentials across files and codebases.

Why is it gaining traction?

Its incremental rebuilds via file hashing skip unchanged parts, and the annotation loop exports stale items for LLM enrichment – keeping indexes fresh without manual toil. Unlike generic parsers, these layers give instant module trees, trait maps, error chains, and line lookups tailored for LLM prompts. Rust devs building rsmapper-style tools or generating index for codebases hook on the agent-ready outputs.

Who should use this?

Rust monorepo maintainers feeding codebases to LLMs for refactoring or audits. AI agent builders needing precise Rust navigation without parsing everything. Teams generating github documentation or LLM-friendly indexes for large files.

Verdict

Early at 14 stars and 1.0% credibility, but strong README examples, CLI, and tests make it viable for niche Rust+LLM use – try `cargo install rsmap` on a small project first.

(178 words)

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