Show HN: Llmcc – Multi-depth architecture graphs for code understanding

Hi, HN community, happy new year to all!

I've been working on llmcc, a tool that generates architecture view at multiple "zoom levels" for codebases. The idea: coding agents (and humans) need to understand systems from different distances—sometimes you need the high-level crate/module boundaries, sometimes the low-level symbol relationships.

It uses PageRank to surface the most "important" nodes, so you can get a focused view of a 600K LoC codebase in seconds.

Currently Rust-only, but the architecture is designed to support multiple languages.

Built this because I kept seeing coding agents get lost in large codebases—they'd either get too zoomed in (missing context) or try to process too much. Having a tree-like view where you can walk up/down seemed like the right primitive.

Repo: https://github.com/allenanswerzq/llmcc, checked out for svgs or benchmark if interested.

Looking for feedbacks:

- Do you guys feel this could be useful and continue spend time to for it?

- What languages would you want next?

- Any kinds of ideas regarding this project for coding agents?

Happy to answer questions!